Publications

  1. Authored articles
  2. Edited journal issues
  3. Authored books and book sections
  4. Edited books and book sections

Authored Articles

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  1. Parajuli, R., Dixon, M. D., Blalock, A., Fowler, A., Sigdel, S., Magnuson, K. I., Wenger, S. J., Suedel, B., Crane, D. J. & van Rees, C. B. (2026). A global systematic review of the effects of hydromorphological floodplain restoration on biodiversity. Journal of Applied Ecology, 63(7), e70485 https://doi.org/10.1111/1365-2664.70485

  2. Parajuli, R., Paudel, A., & Sharma, L.N. (2026). Maintaining people-forest interactions is critical to managing forests fires in Nepal. Journal of Forest and Livelihood, 26 (1), 68-82 https://doi.org/10.3126/jfl.v26i1.96645

  3. Rijal, S., Sharma Banjade, S., Rai, N. Mandal, A. K., & Parajuli, R. (2026). Improving Flood Detection in the Himalayas: Evaluating SAR-Optical Data Fusion with Machine Learning in a Mountainous River Basin of Nepal. Journal of the Indian Society of Remote Sensing (2026) https://doi.org/10.1007/s12524-026-02484-0

  4. Hawman, P. A., & Mishra, D. R. (2026). A dataset of vertical carbon fluxes from a Georgia tidal salt marsh from 2014 to 2024. Scientific Data. https://doi.org/10.1038/s41597-026-06571-2

  5. Kumar, A., Maniyar, C. B., Tesfayi, N., Grunert, B. K., Fiorentino, I. R., Herweck, K., Hyland, E., Liu, B., Bartelme, B., & Mishra, D. R. (2026). Advancing CyanoHAB monitoring with hyperspectral data from NASA PACE: First results and validation. International Journal of Applied Earth Observation and Geoinformation, 146, 105032. https://doi.org/10.1016/j.jag.2025.105032

  6. Parajuli, R., Timilsina, B., Chhetri, R. Bhattarai, P., Acharya, K, van Rees, C.B. (2026). Facilitation by an endemic shrub as a nature-based approach to conserve taxonomic and phylogenetic diversities of high-value plants in the Himalayas. Ecological Processes, 15, 4 https://doi.org/10.1186/s13717-026-00702-8

  7. Joshi, I. D., Kumar, A., Singh, S., Raulo, S., Acharyya, T., & Mishra, D. R. (2025). A remote sensing algorithmic framework for characterizing chromophoric dissolved organic matter in lagoon-estuarine systems. Science of The Total Environment, 1001, 180472. https://doi.org/10.1016/j.scitotenv.2025.180472

  8. Kumar, A., Maniyar, C. B., Fiorentino, I. R., and Mishra, D. R. (2025). Remote sensing of cyanobacterial harmful algal blooms: Current trends and future directions. Progress in Environmental Geography, 4(1), 131-150. https://doi.org/10.1177/27539687251320671 (Original work published 2025)

  9. Maniyar, C. B., Raviprakash, K., Kumar, A., Seferian, M. A., Fiorentino, I. R., & Mishra, D. R. (2025). Low-cost system to support and expand cyanobacterial harmful algal bloom monitoring with new-generation ocean color satellites. ACS ES&T Water, 5(11), 6246–6257. https://doi.org/10.1021/acsestwater.5c00301

  10. Maniyar, C. B., Yan, X., Mai, G., Srivastava, D., Samiappan, S., Oliazadeh, A., Kumar, A., Kumar, M., & Mishra, D. R. (2025). Artificial intelligence in environmental remote sensing: Progress, way forward and key considerations. Progress in Environmental Geography, 4(3), 363–389. https://doi.org/10.1177/27539687251357020

  11. Noble, D. W. A., Xirocostas, Z. A., Wu, N. C., Martinig, A. R., Almeida, R. A., Bairos-Novak, K. R., Balti, H., Bertram, M. G., Bliard, L., Brand, J. A., Byrne, I., Chan, Y.-C., Clink, D. J., Corbel, Q., Correia, R. A., Crawford-Ash, J., Culina, A., D'Bastiani, E., Deme, G. G., de Souza Leite, M., Dhellemmes, F., Dimri, S., Drobniak, S. M., Elsy, A. D., Everingham, S. E., Gascoigne, S. J. L., Grainger, M. J., Hossack, G. C., Hovstad, K. A., Ivimey-Cook, E. R., Jones, M. L., Kačergytė, I., Küstner, G., Leibold, D. C., Mair, M. M., Martin, J., Mizuno, A., Moodie, I. R., Moreau, D., O'Dea, R. E., Orr, J. A., Paquet, M., Parajuli, R., Pick, J. L., Pottier, P., Purgar, M., Recio, P., Roche, D. G., Royauté, R., Shafiei Sabet, S., Segovia, J., Silva, I., Sanchez-Tojar, A., Soares, B. E., Szabo, B., Takola, E., Thoré, E. S. J., Timilsina, B., van Dis, N. E., Verberk, W. C. E. P., Vriend, S. J. G., Wild, K. H., Williams, C., Yang, Y., Nakagawa, S., & Lagisz, M. (2025). The promise of community-driven preprints in ecology and evolution. Proceedings of the Royal Society B: Biological Sciences, 292(2039), 20241487 https://doi.org/10.1098/rspb.2024.1487

  12. Parajuli, R., Paudel, A., & Markwith, S. H. (2025). Integrating the physical harvesting of dead wood into fuel treatments to reduce wildfire hazards and enhance carbon benefits. Journal of Environmental Management, 376, 124535 https://doi.org/10.1016/j.jenvman.2025.124535

  13. Runion, K. D., M. Alber, D. R. Mishra, M. A. Lever, C. M. Hladik, and J. L. O’Connell (2025). Early warning signs of salt marsh drowning indicated by widespread vulnerability from declining belowground plant biomass. Proceedings of the National Academy of Sciences, 122, 26, e2425501122, 2025, https://doi.org/10.1073/pnas.2425501122

  14. Runion K. D., D. R. Mishra, M. Alber, M. A. Lever, J. L. O’Connell (2024). Capturing spatiotemporal variation in salt marsh belowground biomass, a key resilience metric, through geoinformatics. Ecosphere, 15, 12, e70110. https://doi.org/10.1002/ecs2.70110

  15. Acharyya, T., S. Singh, S. Raulo, D. R. Mishra, A. Kumar, A. Gopinath, P.Muduli, G. Rastogi (2024). Dynamics and source characterization of Chromophoric Dissolved Organic Matter (CDOM) in a tropical monsoon driven lagoon. Marine Chemistry, 104430, 265-266, https://doi.org/10.1016/j.marchem.2024.104430

  16. Hawman, P. A., D. L. Cotten, and D. R. Mishra (2024). Canopy Heterogeneity and Environmental Variability Drive Annual Budgets of Net Ecosystem Carbon Exchange in a Tidal Marsh. JGR Biogeosciences, 129, e2023JG007866, https://doi.org/10.1029/2023JG007866

  17. Mai, G., W. Huang, J. Sun, S. Song, D. R. Mishra, N. Liu, S. Gao, T. Liu, G. Cong, Y. Hu, C. Cundy, Z. Li, R. Zhu, N. Lao (2024). On the Opportunities and Challenges of Foundation Models for GeoAI (Vision Paper). ACM Transactions on Spatial Algorithms and Systems, 10, 2, https://doi.org/10.1145/3653070

  18. Veerman, J., D. R. Mishra, A. Kumar, and M. Karidozo (2024). Environmental drivers behind the exceptional increase in cyanobacterial blooms in Okavango Delta, Botswana. Harmful Algae, 102677, https://doi.org/10.1016/j.hal.2024.102677

  19. Adhikari, A., A. Peduzzi, C. Montes, N. Osborne, D. R. Mishra (2023). Assessment of understory vegetation in a plantation forest of the southeastern United States using terrestrial laser scanning. Ecological Informatics, 77: 102254, https://doi.org/10.1016/j.ecoinf.2023.102254

  20. Bacchus, S. , Bernardes, S., & Madden, M. (2023). Implications of declining ground water and water quality in the US Southeastern Coastal Plain Ecoregion and Areawide Environmental Impact Statement required for mining in the Greater Okefenokee Swamp Basin—Part 1. Journal of Geoscience and Environment Protection, 11, 201-276 https://doi.org/10.4236/gep.2023.113014.

  21. Hawman, P., D. R. Mishra, J. O’Connell (2023). Dynamic emergent leaf area in tidal wetlands: Implications for Satellite-derived Regional and Global Blue Carbon Estimates. Remote Sensing of Environment, 290: 113553, https://doi.org/10.1016/j.rse.2023.113553

  22. Lehmann, M.K., D. Gurlin, N. Pahlevan, K. Alikas, J. Anstee, S. V. Balasubramanian, C. Barbosa, C. Binding, A. Bracher, M. Bresciani, A. Burtner, Z. Cao, A. Dekker, C. Di Vittorio, N. Drayson, R. Errera, V. Fernandez, C. Fichot, P. Gege, C. Giardino, A. Gitelson, S. Greb, H. Henderson, H. Higa, A. Irani Rahaghi, C. Jamet, D. Jiang, T. Jordan, K. Kangro, J. Kravitz, A. Kristoffersen, R. Kudela, L. Li, M. Ligi, H. Loisel, S. Lohrenz, R. Ma, D. Maciel, T. Malthus, B. Matsushita, M. Matthews, C. Minaudo, D. R. Mishra, S. Mishra, T. Moore, W. Moses, H. Nguyễn, E. Novo, S. Novoa, D. Odermatt, D. O'Donnell, L. Olmanson, M. Ondrusek, N. Oppelt, S. Ouillon, W. Pereira Filho, S. Plattner, A. Ruiz Verdú, S. Salem, J. Schalles, S. Simis, E. Siswanto, B. Smith, I. Somlai-Schweiger, M. Soppa, E. Spyrakos, E. Tessin, H. van der Woerd, A. Vander Woude, R. Vandermeulen, V. Vantrepotte, M. Wernand, M. Werther, K. Young, L. Yue (2023). GLORIA - A globally representative hyperspectral in situ dataset for optical sensing of water quality. Scientific Data, 10, 100, https://doi.org/10.1038/s41597-023-01973-y

  23. Lynn, T., M. Alber, J. Shalack, D. R. Mishra (2023). Utilizing repeat UAV imagery to evaluate the spatiotemporal patterns and environmental drivers of wrack in a coastal Georgia salt marsh. Estuaries and Coasts, https://doi.org/10.1007/s12237-023-01265-z

  24. Maniyar, C., M. Rudresh, I. Callejas, K. Osborn, C. Lee, J. Jay, M. Phillips, N. Auil Gomez, E. Cherrington, R. Griffin, C. Evans, A. Rosado, S. Rosado, S. Felgate, C. Evans, V. Martín-Arias, D. R. Mishra (2023). Spatio-temporal Dynamics of Total Suspended Sediments in the Belize Coastal Lagoon. Remote Sensing, 15, 5625, https://doi.org/10.3390/rs15235625

  25. Mao, L., D. R. Mishra, C. R. Narron, P. A. Hawman, J. L. O’Connell, D. L. Cotten (2023). Photosynthetic performance of tidally flooded Spartina alterniflora salt marshes. JGR Biogeosciences, 128, e2022JG007161, https://doi.org/10.1029/2022JG007161

  26. Richardson, J. L., A. Desai, J. Thom, K. Lindgren, H. Laudon, M. Peichl, M. Nilsson, A. Campeau, J. Järveoja, P. Hawman, D. R. Mishra, D. Smith, B. D’Acunha, S. Knox, D. Ng, M. Johnson, JK. Blackstock, S. Malone, S. Oberbauer, M. Detto, K. Wickland, I. Forbrich, N. Weston, J. Hung, C. Edgar, E. Euskirchen, S. Bret-Harte, J. Dobkowski, G. Kling, E. Kane, P. Badiou, M. Bogard, G. Bohrer, T. O’Halloran, J. Ritson, A. Arias-Ortiz, D. Baldocchi, P. Oikawa, J. Shahan, M. Matsumura (2023). On the relationship between aquatic CO2 concentration and ecosystem fluxes in some of the world’s key wetland types. Wetlands, 44, 1, https://doi.org/10.1007/s13157-023-01751-x

  27. Callejas, I., K. Osborn, C. Lee, D. R. Mishra, N. Gomez, A. Carrias, E. A. Cherrington, R. Griffin, A. Rosado, S. Rosado, and J. Jay (2022). A Google Earth Engine-Based Toolkit for water quality monitoring from 2002-2022 in support of SDG 14 and coral health in Marine Protected Areas in Belize. Frontiers in Remote Sensing, 3:1020184, https://doi.org/10.3389/frsen.2022.1020184

  28. Diefenderfer, H. L., L. D. McKinney, W. R. Boynton, K. L. Heck, Jr., B. A. Kleiss, D. R. Mishra, H. Greening, A. A. George II, B. A. Carl Kraft, and C. L. Kling (2022). Ten years of Gulf Coast ecosystem restoration projects since the Deepwater Horizon Oil Spill. Proceedings of the National Academy of Sciences, 119 (38): e2213639119, https://doi.org/10.1073/pnas.2213639119

  29. Gaiser, E. E., J. Kominoski, D. McKnight, C. Bahlai, C. Cheng, S. Record, W. Wilfred, K. Christianson, M. Downs, T. Harms, P. Hawman, S. Holbrook, A. Kumar, D. R. Mishra, N. Molotch, R. Primack, A. Rassweiler, R. Schmitt, and L. Sutter (2022). Long-term ecological research and the COVID-19 anthropause: A window to understanding social-ecological disturbance. Ecosphere, 13(4): e4019, https://doi.org/10.1002/ecs2.4019

  30. Greening, H., K. L. Heck, Jr., L. D. McKinney, H. L. Diefenderfer, W. R. Boynton, B. A. Kleiss, D. R. Mishra, A. A. George II, B. A. Carl Kraft, C. L. Kling, and L. Windecker (2022). Assessing the effectiveness of large-scale environmental restoration: challenges and opportunities. Estuaries and Coasts, https://doi.org/10.1007/s12237-022-01149-8

  31. Guest, A., Bernardes, S., Howard, A. Integration of an agent-based model and augmented reality for immersive modeling exploration. (2022). Earth and Space Science Open Archive https://doi.org/10.1002/essoar.10509930.1.

  32. Jaya Prakash, A., M. D. Behera, S. Ghosh, A. K. Das, and D. R. Mishra (2022). Aboveground biomass prediction using L & C SAR data synergy and machine learning- demonstrating an operational framework for mangrove forests. Ecological Informatics, 72:101900, https://doi.org/10.1016/j.ecoinf.2022.101900

  33. Kinane, S. M., C. R. Montes, M. Zapata, B. P. Bullock, R. Cook, and D. R. Mishra (2022). Influence of environmental variables on leaf area index in Loblolly Pine plantations. Forest Ecology and Management, 523: 120445, https://doi.org/10.1016/j.foreco.2022.120445

  34. Martin-Arias, V., C. Evans, R. Griffin, E. Cherrington, C. Lee, D. R. Mishra, N. Gomez, A. Rosado, I. Callejas, J. Jay, and S. Rosado (2022). Modeled impacts of LULC and climate change predictions on the hydrologic regime of Belize. Frontiers in Environmental Science, 10:848085, https://doi.org/10.3389/fenvs.2022.848085

  35. Narron, C. R., J. L. O’Connell, D. R. Mishra, D. L. Cotten, P. A. Hawman, L. Mao (2022). Flooding in Landsat Across Tidal Systems (FLATS): An index for intermittent tidal filtering and frequency detection in salt marsh environments. Ecological Indicators, 141: 109045, https://doi.org/10.1016/j.ecolind.2022.109045

  36. Sharma, R., D. R. Mishra, M. R. Levi, and L. A. Sutter (2022). Remote sensing of surface and subsurface soil organic carbon in tidal wetlands: A review and ideas for future research. Remote Sensing, 14: 2940, https://doi.org/10.3390/rs14122940

  37. Tarafdar, L., M. Mohapatra, P. R. Muduli, A. Kumar, D. R. Mishra, and G. Rastogi (2022). Co-occurrence patterns and environmental factors associated with rapid onset of Microcystis aeruginosa bloom in a tropical coastal lagoon. Journal of Environmental Management, 325, Part B, 116580, https://doi.org/10.1016/j.jenvman.2022.116580

  38. Wright, M., L. R. Pompe, D. R. Mishra, D. S. Baumbach, L. Salinas, and S. G. Dunbar (2022). Hawksbill presence and habitat suitability of a marine reserve in Honduras. Ocean and Coastal Management, 225: 106204, https://doi.org/10.1016/j.ocecoaman.2022.106204

  39. Acharya, P., P. Muduli, D. R. Mishra, A. Kumar, V. V. Kanuri, M. Das (2021). Imprints of COVID-19 lockdowns on Total Petroleum Hydrocarbon levels in Asia’s largest brackish water lagoon. Marine Pollution Bulletin, 174: 113137, https://doi.org/10.1016/j.marpolbul.2021.113137

  40. Callejas, I. A., C. M. Lee, D. R. Mishra, S. L. Felgate, C. Evans, A. Carrias, A. Rosado, R. Griffin, E. Cherrington, M. Ayad, M. Rudresh, B. Page, and J. A. Jay (2021). Effect of COVID-19 anthropause on water clarity in the Belize coastal lagoon. Frontiers in Marine Science, https://doi.org/10.3389/fmars.2021.648522

  41. Das, P., S. Mudi, M. D. Behera, S. K. Barik, P. S. Roy, and D. R. Mishra (2021). Automated mapping for long-term analysis of shifting cultivation in northeast India. Remote Sensing, 13(6): 1066, https://doi.org/10.3390/rs13061066

  42. Dev, P., A. Sukenik, D. R. Mishra, and I. Ostrovsky (2021). Cyanobacterial pigment concentrations in inland waters: Novel semi-analytical algorithms for multi- and hyperspectral remote sensing data. Science of the Total Environment, 805: 150423, https://doi.org/10.1016/j.scitotenv.2021.150423

  43. Ghosh, S., M. D. Behera, B. Jagadish, A. K. Das, and D. R. Mishra (2021). Aboveground biomass estimation of a carbon-rich mangrove site in India using multi-temporal Sentinel series data. Journal of Environmental Management, 292: 112816, https://doi.org/10.1016/j.jenvman.2021.112816

  44. Hawman, P., D. R. Mishra, J. O’Connell, D. Cotten, C. Narron, and L. Mao (2021). Salt marsh light use efficiency is driven by biophysical gradients and species-specific physiology and morphology. Journal of Geophysical Research- Biogeosciences, 126, e2020JG006213, https://doi.org/10.1029/2020JG006213

  45. Hikouei, I. S., S. S. Kim, and D. R. Mishra (2021). Machine-learning classification of soil bulk density in salt marsh environments. Sensors, 21: 4408, https://doi.org/10.3390/s21134408

  46. Kinane, S. M., C. R. Montes, T. J. Albaugh, and D. R. Mishra (2021). A model to estimate leaf area index in loblolly pine plantations using Landsat 5 and 7 images. Remote Sensing, 13(6): 1140, https://doi.org/10.3390/rs13061140

  47. Maniyar, C., A. Kumar, and D. R. Mishra (2021). Continuous and synoptic assessment of Indian inland waters for harmful algae blooms, Harmful Algae, 111: 102160, https://doi.org/10.1016/j.hal.2021.102160

  48. Mishra, D. R., A. Kumar, P. Muduli, T. Acharyya, P. Acharya, S. Singh, and G. Rastogi (2021). Landfall season is critical to the impact of a cyclone on a monsoon-regulated tropical coastal lagoon, Science of the Total Environment, 770: 145235, https://doi.org/10.1016/j.scitotenv.2021.145235

  49. Muduli, P., A. Kumar, V. V. Kanuri, D. R. Mishra, P. Acharya, R. Saha, M. Biswas, A. K. Vidyarthi, and A. Sudhakar (2021). Water quality assessment of the Ganges River during COVID-19 lockdown. International Journal of Environmental Science and Technology, https://doi.org/10.1007/s13762-021-03245-x

  50. Nanda, D., D. R. Mishra, and D. Swain (2021). COVID-19 lockdowns induced land surface temperature variability in mega urban agglomerations in India. Environmental Science: Processes & Impacts, https://doi.org/10.1039/D0EM00358A

  51. O’Connell, J., D. R. Mishra, M. Alber, and K. Byrd (2021). BERM: A Belowground Ecosystem Resiliency Model for estimating Spartina alterniflora belowground biomass. New Phytologist, https://doi.org/10.1111/nph.17607

  52. Rasquinha, D., and D. R. Mishra (2021). Riding the crest of waves: Tropical cyclone events shape mangrove productivity gradients in the Indian subcontinent. Scientific Reports, 11:17355, https://doi.org/10.1038/s41598-021-96752-3

  53. Tarafdar, L., J. K. Kim, S. Srichandan, M. Mohapatra, P. R. Muduli, A. Kumar, D. R. Mishra, and G. Rastogi (2021). Responses of phytoplankton community structure and association to variability in environmental drivers in a tropical coastal lagoon, Science of the Total Environment, 783: 146873, https://doi.org/10.1016/j.scitotenv.2021.146873

  54. Veerman, J., A. Kumar, and D. R. Mishra (2021). Exceptional landscape-wide cyanobacteria bloom in Okavango Delta, Botswana in 2020 coincided with a mass elephant die-off event. Harmful Algae, https://doi.org/10.1016/j.hal.2021.102145

  55. Xu, R., Li, C. & Bernardes, S. (2021). Development and testing of a UAV-based multi-sensor system for plant phenotyping and precision agriculture. Remote Sensing. 13(17) https://doi.org/10.3390/rs13173517

  56. Yin, Y., A. G. Grundstein, D. R. Mishra, L. Ramaswamy, N. Hashemi, and J. Dowd (2021). DTEx: A dynamic urban thermal exposure index based on human mobility patterns. Environment International, 155: 106573, https://doi.org/10.1016/j.envint.2021.106573

  57. Bernardes, S., & Madden, M. (2020). Characterization of canopy anisotropies over a forested area using a multispectral imager integrated into an unmanned aerial system: the Droniometer Experiment. Earth and Space Science Open Archive https://doi.org/doi:10.1002/essoar.10502014.1

  58. Bernardes, S., Howard, A.M., Mendki, A., Walker, A., Bhanderi, D., Le, L., Tsao, A. & Madden, M. (2020). Innovative technologies in teaching and learning: Incorporating recent developments in virtual and augmented reality into active learning at the University of Georgia. Earth and Space Science Open Archive https://doi.org/10.1002/essoar.10502013.1

  59. Bernardes, S., Madden, M., Walker, A., Knight, A., Neel, N., Mendki, A., Bhanderi, D., Guest, A., Healy, S., & Jordan, T. (2020). Emerging geospatial technologies in environmental research, education, and outreach. Geosfera Indonesia, 5(3), 352-363 https://doi.org/10.19184/geosi.v5i3.20719

  60. Çöltekin, A., Lochhead, I., Madden, M., Christophe, S., Devaux, A., Pettit, C., Lock, O., Shukla, S., Herman, L., Stachoň, Z., Kubíček, P., Snopkova, D., Bernardes, S. & Hedley N. (2020). Extended reality in spatial sciences: A review of research challenges and future directions, Invited Paper in, Li, S., S. Zlatanova, M.A. Brovelli and M. Sester (Eds.). Special Issue, State-of-the-Art in Spatial Information Science, ISPRS International Journal of Geo-Information 9(7):439, https://doi.org/10.3390/ijgi9070439

  61. Dahal, S., D. H. Franklin, A. Subedi, M. Cabrera, D. Hancock, K. Mahmud, L. Ney, C. Park, and D. R. Mishra (2020). Strategic grazing in beef-pastures for improved soil health and reduced runoff-nitrate-A step towards sustainability. Sustainability, 12(2): 558, https://doi.org/10.3390/su12020558

  62. Fragomeni, M., Bernardes, S., Shepherd, M. & Rivero, R. (2020). A collaborative approach to heat response planning: a case study to understand the integration of urban climatology and land-use planning. Urban Climate 33, 100653 https://doi.org/10.1016/j.uclim.2020.100653

  63. Johnson Gaither, C., A. Aragon*, M. Madden, S. Alford, A. Wynn and M.R. Emery (2020). “Black Folks Do Forage”: Examining wild foods gathering in Southeast Atlanta Communities, Urban Forestry & Urban Greening, 56: 10 p https://doi.org/10.1016/j.ufug.2020.126860

  64. Kumar, A., D. R. Mishra, and N. Ilango (2020). Evaluation of Landsat 8 virtual orange band for mapping cyanobacterial bloom. Remote Sensing, 12(5): 868, https://doi.org/10.3390/rs12050868

  65. Kumar, A., D. R. Mishra, and Sk. Md. Equeenuddin (2020). Spatio-temporal dynamics of sediment plume and algal bloom in Chilika Lagoon. In: C. Max Finlayson, G. Rastogi, M. Suar, D. R. Mishra, and A. Pattnaik (eds.) Ecology, Conservation, and Restoration of Chilika Lagoon, India, Springer, Switzerland, https://doi.org/10.1007/978-3-030-33424-6_8

  66. Mertzlufft, C.*, M. Madden, N. Gottdenker, J. Velasquez Runk, A. Saldana, S. Tanner, J. Calzada and X. Yao (2020). Landscape disturbance impacts on Attalea butyracea palm distribution in central Panama: Implications for Chagas disease transmission, International Journal of Health Geographics, 19(58): 17 p https://doi.org/10.1186/s12942-020-00244-y

  67. Mishra, D. R., A. Kumar, L. Ramaswamy, V. Boddula, M. Das, B. Page, and S. Weber (2020). CyanoTRACKER: A cloud-based integrated multi-platform architecture for global observation of cyanobacterial harmful algal blooms. Harmful Algae, 96: 101828, https://doi.org/10.1016/j.hal.2020.101828

  68. Mishra, D. R., A. Kumar, P. R. Muduli, Sk. Md. Equeenuddin, G. Rastogi, T. Acharyya, and D. Swain (2020). Decline in phytoplankton biomass along Indian coastal waters due to COVID-19 lockdown. Remote Sensing, 12(16): 2585, https://doi.org/10.3390/rs12162584

  69. Presotto, A.*, C. Remillard*, N. Spagnoletti, R. Salmi, M. Verderane, K. Stafford, R. Rodrigues dos Santos, M. Madden, D.  Fragaszy, E. Visalberghi, P. Izar (2020). Rare bearded capuchin (Sapajus libidinosus) tool-use culture is threatened by land use changes in northeastern Brazil, International Journal of Primatology, 41:596-613 https://doi.org/10.1007/s10764-020-00166-3

  70. Rasquinha, D., and D. R. Mishra (2020). Impact of wood harvesting on mangrove forest structure, composition and biomass dynamics in India. Estuarine, Coastal and Shelf Science, 106974, https://doi.org/10.1016/j.ecss.2020.106974

  71. Weber, S., D. R. Mishra, E. Kramer, and S. Wilde (2020). Risks for cyanobacterial harmful algal blooms due to land management and climate interactions. Science of the Total Environment, 703: 134608, https://doi.org/10.1016/j.scitotenv.2019.134608

  72. Wu, W., P. Biber, D. R. Mishra, G. Carter, S. Ghosh, and S. Hagen (2020). Sea-level rise thresholds for the stability of salt marshes in a riverine versus a marine dominated estuary. Science of the Total Environment, 718: 137181, https://doi.org/10.1016/j.scitotenv.2020.137181

  73. Yin, Y., N. Hashemi, A. Grundstein, D. R. Mishra, L. Ramaswamy, and J. Dowd (2020). Urban ambient air temperature estimation using hyperlocal data from smart vehicle-borne sensors, Computers, Environment and Urban Systems, 84: 101538, https://doi.org/10.1016/j.compenvurbsys.2020.101538

  74. Aragon, A.*, C. Johnson Gaither, M. Madden and S. Goodrick (2019). The “Efficiency Concern”: Exploring wildfire risk on Heir’s Property in Macon-Bibb County, Georgia, United States of America, Human Ecology Review, 25(2): 51-68 https://doi.org/10.22459/her.25.02.2019.05

  75. Astuti, I., K. Sahoo, A. Milewski, and D. R. Mishra (2019). Impact of land use/land cover change on surface runoff in an increasingly urbanized tropical watershed, Indonesia. Water Resources Management, https://doi.org/10.1007/s11269-019-02320-w

  76. Bernardes, S., Manglass, L., Bacchus, S., & Madden, M. (2019). Analysis and extent of Santa Fe River flooding in North Florida attributed to rainfall and wind damage associated with Hurricane Irma. Journal of Geoscience and Environment Protection 7(11) https://doi.org/10.4236/gep.2019.711019.

  77. Hauer, M. E., R. D. Hardy, D. R. Mishra, and J. S. Pippin (2019). No landward retreat: Examining 80 years of population migration and shoreline change in Louisiana. Population and Environment, 40: 369, https://doi.org/10.1007/s11111-019-00315-8

  78. Kumar, A., C. Cooper, C. Remillard, S. Ghosh, A. Haney, F. Braun, Z. Connor, B. Page, K. Boyd, S. Wilde, and D. R. Mishra (2019). Spatio-Temporal Monitoring of Hydrilla to Aid Management Actions. Weed Technology, 1-12, https://doi.org/10.1017/wet.2019.13

  79. Miller, P., A. Kumar, T. L. Mote, F. D. S. Moraes, and D. R. Mishra (2019). Persistent hydrological consequences of Hurricane Maria and their coevolution with land surface recovery in Puerto Rico. Geophysical Research Letters, 46, https://doi.org/10.1029/2018GL081591

  80. Miller, P., T. L. Mote, A. Kumar, and D. R. Mishra (2019). Systematic precipitation redistribution following a strong hurricane landfall. Theoretical and Applied Climatology, 1- 12, https://doi.org/10.1007/s00704-019-03000-w

  81. Obata, S., Cieszewski, C., Bettinger, P. Lowe, R. C., III, & Bernardes, S. (2019). Preliminary analysis of forest stand disturbances in coastal Georgia (USA). using Landsat time series stacked imagery. FORMATH. 18:1-11 http://dx.doi.org/10.15684/formath.18.001

  82. Page, B., L. Olmanson, and D. R. Mishra (2019). A harmonized image processing workflow using Sentinel-2 and Landsat-8 for mapping water clarity in optically complex lake systems. Remote Sensing of Environment, 231: 111284, https://doi.org/10.1016/j.rse.2019.111284

  83. Presotto*, A., R. Fayrer-Hosken, C. Curry and M. Madden (2019). Spatial mapping shows that some African Elephants use cognitive maps to naviate the core but not the periphery of their home ranges, Animal Cognition, 22(2): 251-263 https://doi.org/10.1007/s10071-019-01242-9

  84. Rotta, L. H. S., D. R. Mishra, E. Alcântara, N. N. Imai, F. S. Y. Watanabe, and T. W. P. Rodrigues (2019). Kd(PAR) and depth based model to estimate the height of submerged aquatic vegetation in a oligotrophic reservoir. Remote Sensing, 11(3): 317, https://doi.org/10.3390/rs11030317

  85. Zhang, C., D. R. Mishra, and S. Pennings (2019). Mapping salt marsh soil properties using imaging spectroscopy. ISPRS Journal of Photogrammetry and Remote Sensing, 148: 221-234, https://doi.org/10.1016/j.isprsjprs.2019.01.006

  86. Adami, M., Bernardes, S., Arai, E., Freitas, R.M., Shimabukuro, Y.E., Espírito-Santo, F.D.B., Rudorff, B., Anderson, L. (2018). Seasonality of vegetation types of South America depicted by Moderate Resolution Imaging Spectroradiometer (MODIS). time series. International Journal of Applied Earth Observation and Geoinformation 69 https://doi.org/10.1016/j.jag.2018.02.010.

  87. Astuti, I., D. R. Mishra, S. Mishra, and B. Schaeffer (2018). A hybrid approach for deriving inherent optical properties in oligotrophic estuaries. Continental Shelf Research, 166:92-107, https://doi.org/10.1016/j.csr.2018.06.016

  88. Bernardes, S. (2018). A global multimodel analysis of predicted changes in plant water use efficiency and biomass accumulation in the 21st century. Proceedings of the 2018 IEEE Geoscience and Remote Sensing Symposium. Valencia, Spain http://dx.doi.org/10.1109/IGARSS.2018.8519198

  89. Bernardes, S. (2018). A MODIS-derived primary productivity dataset for North America based on topographically-aware weather data and light-use efficiency. Proceedings of the 2018 IEEE Geoscience and Remote Sensing Symposium. Valencia, Spain http://dx.doi.org/10.1109/IGARSS.2018.8518831

  90. Bernardes, S., Madden, M., Knight, A., Neel, N., Morgan, N., Cameron, K. & Knox, J. (2018). A multi-component system for data acquisition and visualization in the geosciences based on UAVs, augmented and virtual reality. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. XLII-4, 45-49 https://doi.org/10.5194/isprs-archives-XLII-4-45-2018, 2018.

  91. Cao, F., D. R. Mishra, J. Schalles, and W. Miller (2018). Evaluating ultraviolet (UV) based photochemistry in optically complex coastal waters using the Hyperspectral Imager for the Coastal Ocean (HICO). Estuarine, Coastal and Shelf Science, 215: 199-206, https://doi.org/10.1016/j.ecss.2018.10.013

  92. Ghosh, S., and D. R. Mishra (2018). Analyzing the long-term phenological trends of salt marsh ecosystem across coastal Louisiana. Remote Sensing, 9(12): 1340; https://doi.org/10.3390/rs9121340

  93. O’Hare*, N.K., and M. Madden (2018). Herpetofaunal inventory of Wormsloe State Historic Site, Savannah, Georgia. Southeastern Naturalist, 17(1): 1-18 https://doi.org/10.1656/058.017.0102

  94. Page, B., A. Kumar, and D. R. Mishra (2018). A novel cross-satellite based assessment of the spatio-temporal development of a cyanobacterial harmful algal bloom. International Journal of Applied Earth Observation and Geoinformation, 66: 69-81, https://doi.org/10.1016/j.jag.2017.11.003

  95. Presotto*, A., M.P. Verderane, L. Biondi, O. Mendonca-Furtado, N. Spagnoletti, M. Madden, P. Izar (2018). Intersection as key locations for bearded capuchin monkeys (Sapajus libidinosus) traveling within a route network, Animal Cognition, 21(3): 393-405 https://link.springer.com/article/10.1007/s10071-018-1176-0

  96. Rodrigues, T., D. R. Mishra, E. Alcântara, I. Astuti, F. S. Y. Watanabe, and N. N. Imai (2018). Estimating the optical properties of inorganic matter-dominated oligo-to-mesotrophic inland waters. Water, 10(4): 449, https://doi.org/10.3390/w10040449

  97. Rodrigues, T., D. R. Mishra, F. S. Y. Watanabe, E. Alcântara, and N. N. Imai (2018). Performance of existing QAAs in Secchi disk depth retrieval in phytoplankton and dissolved organic matter dominated inland waters. Journal of Applied Remote Sensing, 12(2): 036017, https://doi.org/10.1117/1.JRS.12.036017

  98. Rotta, L. H. S., D. R. Mishra, F. S. Y. Watanabe, T. W. P. Rodrigues, E. Alcântara, and N. N. Imai (2018). Analyzing the feasibility of a space-borne sensor (SPOT-6) to estimate the height of submerged aquatic vegetation (SAV) in inland waters. ISPRS Journal of Photogrammetry and Remote Sensing, 144: 341-356, https://doi.org/10.1016/j.isprsjprs.2018.07.011

  99. Shrestha, S., I. Miranda, M. L. E. Pardo, A. Kumar, T. Rashid, S. Dahal, C. Remillard, and D. R. Mishra (2018). Identifying and forecasting potential biophysical risk areas within a tropical Mangrove ecosystem using multi-sensor data. International Journal of Applied Earth Observation and Geoinformation, 74: 281-294, https://doi.org/10.1016/j.jag.2018.09.017

  100. Singh*, K.K., J. Gray, M. Madden and R.K. Meentemeyer (2018). The managed clearing: An overlooked landcover type in urbanizing regions? PLOS ONE, 13(2), 14 p https://doi.org/10.1371/journal.pone.0192822

  101. Tao, J., D. R. Mishra, D. L. Cotton, J. O’Connell, M. Leclerc, H. Nahrawi, G. Zhang, and R. Pahari (2018). A comparison between the MODIS product (MOD17A2) and a tide-robust empirical GPP model evaluated in a Georgia wetland. Remote Sensing, 10(11): 1831, https://doi.org/10.3390/rs10111831

  102. Wu, W., M. Bethel, D. R. Mishra, and T. Hardy (2018). Predicting aboveground green biomass in salt marshes based on worldview-2 imagery using mixed-effects modeling in Bayesian framework. GIScience and Remote Sensing, 1(25), https://doi.org/10.1080/15481603.2018.1460934

  103. Xu, W., Bernardes, S., Bacchus, S.T. & Madden, M. (2018). Management implications of aquifer fractures on ecosystem and habitat suitability for panthers in Southern Florida. Journal of Geoscience and Environment Protection 6(2) https://doi.org/10.4236/gep.2018.62012.

  104. Zhang, C., S. Denka, and D. R. Mishra (2018). Mapping freshwater marsh species in the wetlands of Lake Okeechobee using very high-resolution aerial photography and LiDAR data. International Journal of Remote Sensing, 1-19, https://doi.org/10.1080/01431161.2018.1455242

  105. Zhang, C., S. Denka, H. Cooper, and D. R. Mishra (2018). Quantification of sawgrass marsh aboveground biomass in the coastal Everglades using object-based ensemble analysis and Landsat data. Remote Sensing of Environment, 204: 366-379, https://doi.org/10.1016/j.rse.2017.10.018

  106. Kumar, A., D. R. Mishra, Sk. Md. Equeen, H. J. Cho, and G. Rastogi (2017). Differential impact of anniversary severe cyclones on the water quality of a tropical coastal lagoon, Estuaries and Coasts, 40: 317-342, https://doi.org/10.1007/s12237-016-0172-3

  107. Kumar, A., P. Stupp, S. Dahal, C. Remillard, R. Bledsoe, A. Stone, C. Cameron, G. Tastogi, R. Samal, and D. R. Mishra (2017). A multi-sensor approach for assessing mangrove biophysical characteristics in coastal Odisha, India. Special issue of 'Remote Sensing' in Proceedings of the National Academy of Sciences, India Section A: Physical Sciences, 1-22, https://doi.org/10.1007/s40010-017-0441-y

  108. O’Connell, J., D. R. Mishra, D. Cotten, L. Wang, and M. Alber (2017). The Tidal Marsh Inundation Index (TMII): An inundation filter to flag flooded pixels and improve MODIS tidal marsh vegetation time-series analysis. Remote Sensing of Environment, 201: 34-46, http://dx.doi.org/10.1016/j.rse.2017.08.008

  109. Ogashawara, I., D. R. Mishra, and A. A. Gitelson (2017). Remote Sensing of Inland Waters: Background and Current State-of-the-Art. In: D. R. Mishra, I. Ogashawara, and A. A. Gitelson (eds.) Bio-Optical Modeling and Remote Sensing of Inland Waters, 1st Edition, pp. 332, ISBN: 9780128046449, Elsevier, Waltham, MA.

  110. Rodrigues, T., D. R. Mishra, E. Alcântara, F. S. Y. Watanabe, L. Rotta, and N. N. Imai (2017). Retrieving total suspended matter in tropical reservoirs within a cascade system with widely differing optical properties. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 99: 1-18, https://doi.org/10.1109/JSTARS.2017.2745700

  111. Wahid**, A. and M. Madden (2017). Evaluation of environmental sensitivity of the coastal plains shoreline to oil spills: Southwestern Sinai coastal plain, Egypt, Environmental and Earth Sciences Research Journal, 4(5): 76-86 https://doi.org/10.18280/eesrj.040304

  112. Wang, M.*, M. Madden and X. Liu (2017). Exploring the relationship between polycentric urban form and CO2 emissions in 104 Chinese cities, Journal of Urban Planning and Development, 143(4) https://doi.org/10.1061/(ASCE)UP.1943-5444.0000400

  113. Wang, M.*, M. Madden, I. Hendy, Estradivari and G.N. Ahmadia (2017). Modeling projected changes of mangrove biomass in different climatic scenarios in the Sunda Banda Seascapes, International Journal of Digital Earth, 4(10): 457-468 http://dx.doi.org/10.1080/17538947.2016.1190411

  114. Williams, M.**, C. Stegall, M. Madden and J.M. Shepherd (2017). Mapping the spatio-temporal evolution of irrigation in the Coastal Plain of Georgia, USA, Photogrammetric Engineering and Remote Sensing, 83(1): 57-67. DOI: 10.14358/PERS.83.1.57, First Place 2017 ESRI Best Paper in GIS Award by American Society for Photogrammetry and Remote Sensing https://doi.org/10.14358/PERS.83.1.57

  115. Xu*, W., R. Fayrer-Hosken, M. Madden, C. Simms, L. Mu and A. Presotto* (2017). Coupling African elephant movement and habitat modeling for landscape availability-suitability-connectivity assessment in Kruger National Park, South Africa, Pachyderm, No. 58: 97-106 http://www.pachydermjournal.org/index.php/pachy/article/view/483

  116. Bernardes, S. and M. Madden (2016). Vegetation disturbance and recovery following a rare windthrow event in the Great Smoky Mountains National Park, International Archives of Photogrammetry, Remote Sensing and Spatial Information Science, Vol. XX, Part 8/W7: 571-575 https://doi.org/10.5194/isprs-archives-XLI-B8-571-2016

  117. Chen, J., I. Dowman, S.Li, Z. Li, M. Madden, J. Mills, N. Paparoditis, F. Rottensteiner, M. Sester, C. Toth, J. Trinder, and C. Heipke (2016). Information from imagery: ISPRS scientific vision and research agenda, ISPRS Journal of Photogrammetry and Remote Sensing. 115:3-21 http://dx.doi.org/10.1016/j.isprsjprs.2015.09.008

  118. Ghosh, S., D. R. Mishra, and A. Gitelson (2016). Long-term monitoring of biophysical characteristics of tidal wetlands in the northern Gulf of Mexico — A methodological approach using MODIS. Remote Sensing of Environment, 173: 39-58; http://dx.doi.org/10.1016/j.rse.2015.11.015

  119. Hauer, M. E., J. M. Evans, and D. R. Mishra (2016). Millions projected to be at risk from sea-level rise in the continental United States, Nature Climate Change, https://doi.org/10.1038/nclimate2961

  120. Hernandez, S.M., C.N. Welch, V.E. Peters, E.K. Lipp, S. Curry, M.J. Yabsley, S. Sanchez, A. Presotto*, P. Gerner-Smidt, K. Hise, E. Hammond, W.M. Kistler, M. Madden, A.L. Corway, T. Kwan and J.J. Maurer (2016). Urbanized white Ibises (Eudocimus albus) as carriers of Salmonella enterica of significance to public health and wildlife, PLoS ONE, 11(10) https://dx.doi.org/10.1371/journal.pone.0164402

  121. Jordan, T.R., C.L. Goetcheus and M. Madden (2016). Point cloud mapping methods for documenting cultural landscape features at the Wormsloe State Historic Site, Savannah, Georgia, USA, International Archives of Photogrammetry, Remote Sensing and Spatial Information Science, Vol. XLI-B5:277-280 https://doi.org/10.5194/isprs-archives-XLI-B5-277-2016

  122. Kumar, A., Sk. Md. Equeen, D. R. Mishra, and B. C. Acharya (2016). Remote monitoring of sediment dynamics in a coastal lagoon: Long-term spatio-temporal variability of suspended sediment in Chilika. Estuarine, Coastal and Shelf Science, 170:155-172; http://dx.doi.org/10.1016/j.ecss.2016.01.018

  123. Levy, B., S. Lenhart, C. Collins, J. Corn, M. Madden, R. Salinas, and W. Stiver (2016). A Metapopulation model for feral hogs in Great Smoky Mountains National Park, Natural Resource Modeling, 29(1): 71-97 https://doi.org/10.1111/nrm.12080

  124. Mishra, D. R., and R. W. Gould, Jr (2016). Preface: Remote sensing in coastal environments, Remote Sensing, 8(8), 665, https://doi.org/10.3390/rs8080665

  125. Mishra, D. R., E. D'Sa, and S. Mishra (2016). Preface: Remote Sensing of Water Resources. Remote Sensing, 8(2): 115, https://doi.org/10.3390/rs8020115

  126. Ogashawara, I., D. R. Mishra, R. F. F. Nascimento, E. H. Alcântara, M. Kampel, J. L. Stech (2016). Re-parameterization of a quasi-analytical algorithm for Colored Dissolved Organic Matter dominant inland waters,International Journal of Applied Earth Observation and Geoinformation, 53:128-145, http://dx.doi.org/10.1016/j.jag.2016.09.001

  127. Remillard C.M.*, M. Madden, J. Favors, L. Childs-Gleason, K. W. Ross, L. Rogers and M. L. Ruiz (2016). Bridging the gap between NASA Earch Observations and decision makers through the NASA DEVELOP Program, International Archives of Photogrammetry, Remote Sensing and Spatial Information Science, Vol. XX, Part 6/W6: 145-148 https://doi.org/10.5194/isprs-archives-XLI-B6-145-2016

  128. Rotta, L. H., D. R. Mishra, E. H. Alcântara, and N. N. Imai (2016). Analyzing the status of submerged aquatic vegetation using novel optical parameters, International Journal of Remote Sensing, 37(16), 3786-3810, https://doi.org/10.1080/01431161.2016.1204027

  129. Shepherd, M., Burian, S., Liu, C. & Bernardes, S. (2016). Satellite precipitation metrics to study the energy-water-food nexus within the backdrop of an urbanized globe. Earthzine. May 2016 https://earthzine.org/satellite-precipitation-metrics-to-study-the-energy-water-food-nexus-within-the-backdrop-of-an-urbanized-globe/

  130. Wahid, A., M. Madden, F. Khalaf and I. Fathy (2016). Geospatial analysis for the determination of hydro-morphological characteristics and assessment of flash flood potentiality in Arid Coastal Plains: A case in Southwestern Sinai, Egypt.  Earth Sciences Research Journal, 20 (1): E1-E9 https://doi.org/10.15446/esrj.v20n1.49624

  131. Wang, G., Z. Lee, D. R. Mishra, and R. Ma (2016). Retrieving absorption coefficients of multiple phytoplankton pigments from hyperspectral remote sensing reflectance measured over cyanobacteria bloom waters, Limnology and Oceanography: Methods, 14(7): 432-447, https://doi.org/10.1002/lom3.10102

  132. Watanabe, F., D. R. Mishra, I. Astuti, T. Rodrigues, E. Alcântara, N. N. Imai, and C. Barbosa (2016). Parameterization and calibration of a quasi-analytical algorithm for tropical eutrophic waters, ISPRS Journal of Photogrammetry and Remote Sensing, 121: 28-47, http://dx.doi.org/10.1016/j.isprsjprs.2016.08.009

  133. Xu, W.*, S. Bernardes, S.T. Bacchus and M. Madden (2016). Mapped fractures and sinkholes in the Coastal Plain of Florida and Georgia to infer environmental impacts from aquifer storage and recover (ASR) and supply wells in the regional karst Floridan Aquifer System, Journal of Geography and Geology, 8(2): 76-110 http://dx.doi.org/10.5539/jgg.v8n2p76

  134. Bacchus, S. T., Bernardes, S., Xu, W., & Madden, M. (2015). What Georgia can learn from Aquifer Storage and Recovery (ASR). in Florida. in: McDowell, R.J., Pruitt, C.A., Bahn, R.A. (eds.), Proceedings of the 2015 Georgia Water Resources Conference. Athens, GA.

  135. Bacchus, S.T., Bernardes, S., Xu, W. & Madden, M. (2015). Fractures as preferential flowpaths for aquifer storage and recovery (ASR). injections and withdrawals: implications for environmentally sensitive near-shore waters, wetlands of the Greater Everglades Basin and the regional karst aquifer system. Journal of Geography and Geology 7(2) https://doi.org/10.5539/jgg.v7n2p117.

  136. Du, X., Bernardes, S., Cao, D., Jordan, T., Yan, Z., Yang, G. & Li, Z. (2015). Self-adaptive gradient-based thresholding method for coal fire detection based on ASTER data-Part 2, validation and sensitivity analysis. Remote Sensing 7(3) https://doi.org/10.3390/rs70302602.

  137. Du, X., Cao, D., Mishra, D., Bernardes, S., Jordan, T. & Madden, M. (2015). Self-adaptive gradient-based thresholding method for coal fire detection using ASTER thermal infrared data, Part I: methodology and decadal change detection. Remote Sensing 7(6) https://doi.org/10.3390/rs70606576.

  138. Du, X., Peng, S., Wang, H., Bernardes, S., Yang, G. & Li, Z. (2015). Annual change detection by ASTER TIR data and an estimation of the annual coal loss and CO2 emission from coal seams spontaneous combustion. Remote Sensing, 7(1) https://doi.org/10.3390/rs70100319.

  139. Howard, A.M., N. Nibbelink, S. Bernardes, D.M. Fragaszy, and M. Madden (2015). Remote sensing and habitat mapping for bearded capuchin monkeys (Sapajus libidinosus): landscapes for the use of stone tools, Journal of Applied Remote Sensing, 9(1): 96020, 1-18 https://doi.org/10.1117/1.JRS.9.096020

  140. Howard, A.M., Nibbelink, N., Madden, M., Young, L.A., Bernardes, S., & Fragaszy, D. (2015). Landscape influences on the natural and artificially manipulated movements of bearded capuchin monkeys. Animal Behaviour 106 https://doi.org/10.1016/j.anbehav.2015.05.003

  141. Koo, K.A.*, B Patten and M. Madden (2015). Predicting effects of climate change on habitat suitability of red spruce (Picea rubens Sarg.) in the Southern Appalachian Mountains of the USA: Understanding complex systems mechanisms through modeling, Forests, 6:1208-1226 https://doi.org/10.3390/f6041208

  142. Madden, M., Jordan, T., Cotten, D. L., O’Hare, N., Pasqua, A. & Bernardes, S. (2015). The future of unmanned aerial systems (UAS). for monitoring natural and cultural resources. Proceedings of the 55th Photogrammetric Week. Stuttgart. Germany http://www.ifp.uni-stuttgart.de/publications/phowo15/350Madden.pdf

  143. Mauer, J., G. Martin, S. Hernandez, Y. Cheng, P. Gerner-Smidt, K. Hise, M.T. D-Angelo, D. Cole, S. Sanchez, M. Madden, S. Valeika, A. Presotto* and E. Lipp (2015). Diversity and persistence of Salmonella enterica strains in rural landscapes in the Southeastern United States, PLoS ONE, 10(7) http://dx.doi.org/10.1371/journal.pone.0128937

  144. Middleton, E., Cheng, Y., Campbell, P., Huemmrich, K.F., Corp, L., Bernardes, S., Zhang, Q., Landis, D.R., Kustas, W.P., Daughtry, C.S.T. & Russ, A.L. (2015). Multi-angle hyperspectral observations using fluorescence and PRI to detect plant stress and productivity in a cornfield. EARSeL eProceedings 14, Special Issue 2, 2015-16. 9th EARSeL Imaging Spectroscopy Workshop. Luxembourg http://eproceedings.uni-oldenburg.de/website/vol14_S2/14_S2_middleton1.pdf

  145. Mishra, D. R., and S. Ghosh (2015). Using moderate resolution satellite sensors for monitoring the biophysical parameters and phenology of tidal wetlands. In: Ralph Tiner, Victor Klemas, and Megan Lang (eds.) Remote Sensing of Wetlands: Applications and Advances, pp. 283-314, ISBN: 13: 978-1-4822-3738-2, Taylor and Francis, Boca Raton, FL

  146. Mishra, D. R., S. Ghosh, C. Hladik, J. L. O'Connell, and H. J. Cho (2015). Wetland mapping methods and techniques using multi-sensor, multi-resolution remote sensing: Successes and Challenges. In: Prasad S. Thenkabail (ed.) Remote Sensing Handbook, Vol. III, pp. 191-226, ISBN: 13: 978-1-4822-1972-6, CAT# K22131, CRC Press, Taylor and Francis, Boca Raton, FL

  147. Salinas, R.A., W.H. Stiver, J.L. Corn, S. Lenhart, C. Collins, M. Madden, K.C. Vercauteren, B.B. Schmit, E. Kasari, A. Odoi, G. Hickling and H. McCallum (2015). An individual-based model for feral hogs in Great Smoky Mountains National Park, Natural Resource Modeling (28)1: 18-36 https://doi.org/10.1111/nrm.12055

  148. Srichandan, S., B. Maharana, J. Y. Kim, A. Kumar, D. R. Mishra, P. Bhadury, P. R. Muduli, A. K. Pattnaik, and G. Rastogi (2015). Interannual and cyclone-driven variability in phytoplankton communities of a tropical coastal lagoon. Marine Pollution Bulletin, 101(1): 39-52; https://doi.org/10.1016/j.marpolbul.2015.11.030

  149. Strother, C.*, M. Madden, T.J. Jordan and A. Presotto (2015). LiDAR detection of the ten tallest trees in the Tennessee portion of the Great Smoky Mountains National Park, Photogrammetric Engineering and Remote Sensing, 81(5): 25-31 https://doi.org/10.14358/PERS.81.5.407

  150. Wang, M.*, A. Gabby, I. Chollett, C. Huang, H. Fox, A. Wijonamo and M. Madden (2015). Delineating biophysical environments of the Sunda Banda Seascape, Indonesia, International Journal of Environmental Research and Public Health, 12(2):1069-1082 https://doi.org/10.3390/ijerph120201069

  151. Bacchus, S. T., Bernardes, S., Jordan, T. & Madden, M. (2014). Benthic macroalgal blooms as indicators of nutrient loading from aquifer-injected sewage effluent in environmentally sensitive near-shore waters associated with the South Florida Keys. Journal of Geography and Geology, 6(4) https://doi.org/10.5539/jgg.v6n4p164.

  152. Bernardes, S., He, J., Bacchus, S. T., Madden, M., & Jordan, T. (2014). Mitigation banks and other conservation lands at risk from preferential groundwater flow and hydroperiod alterations by existing and proposed northeast Florida mines. Journal of Sustainable Development, 7(4), 37 https://doi.org/10.5539/jsd.v7n4p225.

  153. Cho, H., I. Ogashawara, D. R. Mishra, J. White, A. Kamerosky, L. Morris, C. Clarke, A. Simpson, and D. Banisakher (2014). Evaluating Hyperspectral Imager for the Coastal Ocean (HICO) data for seagrass mapping in Indian River Lagoon, FL. GIScience and Remote Sensing, 51(2): 120-138, https://doi.org/10.1080/15481603.2014.895577

  154. Du, X., Cao, D., Yang, G., Bernardes, S., Li. Z. & Li, F. (2014). Estimating typical four-season thermal distribution and self-adaptive gradient based thresholding parameters over coal fire areas in China using ASTER and LDCM TIRS - a case study in the Wuda coal field, China. Proceedings of the Annual Conference of the American Society for Photogrammetry and Remote Sensing. Louisville, KY https://www.asprs.org/a/publications/proceedings/Louisville2014/Du_2.pdf

  155. Koo, K.A.*, M. Madden and B. Patten (2014). Projection of red spruce (Picea rubens Sargent) habitat suitability and distribution in the Southern Appalachian Mountains, USA, Ecological Modelling, 293: 91-101 https://doi.org/10.1016/j.ecolmodel.2014.06.005

  156. Mishra S., D. R. Mishra, and Z. Lee (2014). Bio-optical inversion in highly turbid and cyanobacteria dominated waters. IEEE Transactions in Geosciences and Remote Sensing, 52(1): 375-388, https://doi.org/10.1109/TGRS.2013.2240462

  157. Mishra, D. R., (2014). Editorial on Coastal Remote Sensing. GIScience and Remote Sensing, 51(2): 115-119, https://doi.org/10.1080/15481603.2014.895579

  158. Mishra, D. R., B. A. Schaeffer, and D. Keith (2014). Performance evaluation of Normalized Difference Chlorophyll Index in northern Gulf of Mexico estuaries using the Hyperspectral Imager for the Coastal Ocean. GIScience and Remote Sensing, 51(2): 175-198, https://doi.org/10.1080/15481603.2014.895581

  159. Mishra, S., D. R. Mishra (2014). A novel remote sensing algorithm to quantify phycocyanin in cyanobacterial algal blooms. Environmental Research Letters, 9:114003, https://doi.org/10.1088/1748-9326/9/11/114003

  160. Wahid, A., M. Madden, F. Khalaf and I. Fathy (2014). Geospatial analysis for determination of the geomorphic forms in Southwestern Sinai Coastal Plain, Egypt.  International Journal of Geosciences and Geomatics, 2 (1): 21-31 https://www.proquest.com/docview/1870293978

  161. Yin, P*., L. Mu, M. Madden and J.E. Vena (2014). Hierarchical Bayesian Modeling of the Spatio-Temporal Patterns of Lung Cancer Incidence Risk in Georgia, U.S., 2000-2007, Journal of Geographical Systems, 16(4): 387-407 https://doi.org/10.1007/s10109-014-0200-4

  162. Alverez, D., P. Boccardo, M.A. Brovelli, F. Giulio Tonolo and M. Madden (2013). Mobile mapping for disaster relief, Foreword Special Issue, Photogrammetric Engineering and Remote Sensing, 79(10): 901-903 https://www.asprs.org/asprs-publications/pers

  163. Cho J., S. Mishra, and D. R. Mishra (2013). Graphical user interface for benthic mapping. ACEEE International Journal on Information Technology, 3(1): 23-27, https://doi.org/01.IJIT.3.1.1138

  164. Elguindi, N., Grundstein, A., Bernardes, S., Feddema, J., & Turuncoglu, U. (2013). Assessment of CMIP5 global model simulations and climate change projections for the 21st century using a modified Thornthwaite climate classification. Climatic Change. 1-16 https://doi.org/10.1007/s10584-013-1020-0

  165. Mishra S., D. R. Mishra, and Z. Lee (2013). Quantifying cyanobacterial phycocyanin concentration in turbid productive waters: A quasi-analytical approach. Remote Sensing of Environment, 133: 141-151, https://doi.org/10.1016/j.rse.2013.02.004

  166. Mishra, D. R., and S. Ghosh (2013). Moderate resolution satellite data for mapping salt marshes. SPIE Newsroom, https://doi.org/10.1117/2.1201304.004800

  167. Ogashawara, I., D. R. Mishra, S. Mishra, M. Pedroso Curtarelli, J. Luiz Stech (2013). A performance review of reflectance based algorithms for predicting phycocyanin concentrations in inland waters. Remote Sensing, 5(10): 4774-4798, https://doi.org/10.3390/rs5104774

  168. Zhou, X., J. Chen, F.B. Zhan, Z. Li, M. Madden, R.L. Zhao and W.Z. Liu (2013). A Euler-Number-based topological computation model for land parcel database updating, International Journal of Goegraphical Information Science, 27(10): 1983-2005 https:/doi.org/10.1080/13658816.2013.780607

  169. Cho, H. J., D. R. Mishra, P. Kirui, and J. Wood (2012). Remote sensing of submerged aquatic vegetation. In: Boris Escalante-Ramirez (ed.) Remote Sensing - Applications, ISBN: 978-953-51-0651-7, InTech, Available from: http://www.intechopen.com/books/remote-sensing-applications/remote-sensing-of-submerged-aquatic-vegetation.

  170. Dash P., N. Walker, D. R. Mishra, E. D'Sa, and S. Ladner (2012). Atmospheric correction and vicarious calibration of Oceansat-1 Ocean Color Monitor (OCM) data in coastal case 2 waters. Remote Sensing, 4(6): 1716-1740, https://doi.org/10.3390/rs4061716

  171. Howard, A.M. & Bernardes, S. (2012). A maximum entropy and least cost path model of bearded capuchin monkey movement in Northeastern Brazil incorporating Erdas subpixel classification analysis of Worldview-2 imagery. Proceedings of Annual Conference of the American Society for Photogrammetry and Remote Sensing. Sacramento, CA. (invited paper) https://doi.org/10.5194/isprsannals-I-2-7-2012

  172. Howard, A.M., Bernardes, S., Nibbelink, N., Presotto, A., Fragaszy, D. & Madden, M. (2012). A maximum entropy model of the bearded capuchin monkey habitat incorporating topography and a spectral unmixing analysis of land cover. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume I-2, https://doi.org/10.5194/isprsannals-I-2-7-2012

  173. Howard, A.M., Bernardes, S., Strother, C., Johnson, T. & Lines, P. (2012). Grades 6-12: MultiSpec© Remote Sensing Tutorials for Earth Observation Day. MultiSpec© Earth Observation Day Tutorial Series. AmericaView.

  174. Lines, J. P., Bernardes, S., He, J., Zhang, S., Bacchus, S. T., Madden, M., & Jordan, T. (2012). Preferential groundwater flow pathways and hydroperiod alterations indicated by georectified lineaments and sinkholes at proposed karst nuclear power plant and mine sites. Journal of Sustainable Development, 5(12), 78–116 https://doi.org/10.5539/jsd.v5n12p78

  175. Mishra, D. R., H. J. Cho, S. Ghosh, C. Downs, A. Fox, P. B. T. Merani, P. Kirui, N. Jackson, and S. Mishra (2012). Post-spill state of the marsh: Remote estimation of the ecological impact of the Gulf of Mexico oil spill on Louisiana salt marshes. Remote Sensing of Environment,118: 176-185, https://doi.org/10.1016/j.rse.2011.11.007

  176. Mishra, S., D. R. Mishra (2012). Normalized Difference Chlorophyll Index: A novel model for remote estimation of chlorophyll-a concentration in turbid productive waters. Remote Sensing of Environment,117: 394-406, https://doi.org/10.1016/j.rse.2011.10.016

  177. Relles, N. J., D. O. B. Jones, and D. Mishra (2012). Creating landscape-scale maps of coral reef cover for marine reserve management from high resolution multispectral remote sensing. GIScience and Remote Sensing, 49(2): 251-274, http://dx.doi.org/10.2747/1548-1603.49.2.251

  178. Wang, Z., J. Wu, M. Madden and D. Mao (2012). China’s wetlands: Conservation plans and policy impacts, AMBIO A Journal of the Human Environment https://doi.org/10.1007/s13280-012-0280-7, 41:782–786

  179. Xu, B.*, M. Madden, D.E. Stallknecht, T.W. Hodler, T. W. and K.C. Parker (2012). Spatial-temporal model of hemorrhagic disease in white-tailed deer in south-east USA, 1983 to 2000, Veterinary Record https://doi.org/10.1136/vr.100000, 170:288-296

  180. Xu, B.*, M. Madden, D.E. Stallknecht, T.W. Hodler, T. W. and K.C. Parker (2012). Spatial and spatial-temporal clustering of hemorrhagic disease in white-tailed deer in Southeast USA, 1980 to 2003, Preventative Veterinary Medicine, 106(3-4): 339-347 https://doi.org/10.1016/j.prevetmed.2012.04.001

  181. Yang, B.*, M. Kim* and M. Madden (2012). Assessing optimal image fusion methods for very high spatial resolution satellite images to support coastal monitoring, GIScience & Remote Sensing, 49(5): 687-710 https://doi.org/10.2747/1548-1603.49.5.687

  182. Yang, B.*, M. Madden, T.R. Jordan and K.H. Cordell (2012). Geospatial approach for demarcating Jekyll Island State Park: Georgia barrier island, Ocean & Coastal Management, 55:42-51 https://doi.org/10.1016/j.ocecoaman.2011.09.011

  183. Bacchus, S., J. Masour, M. Madden, T. Jordan and Q. Meng (2011). Geospatial analysis of depressional wetlands near Peace River Watershed phosphate mines, Florida, Environmental & Engineering Geoscience, 17 (4): 391-415 https://doi.org/10.2113/gseegeosci.17.4.391

  184. Bernardes, S., Howard Eury, A., Presotto, A., Madden, M., Fragaszy, D. M., Jordan, T., Izar, P., & Tavares-Rocha, Y. (2011). An agent based modeling approach for representing Capuchin (Sapajus spp.). behavior in Brazil. Proceedings of the Annual Conference of the American Society for Photogrammetry and Remote Sensing. Milwaukee, WI https://www.asprs.org/wp-content/uploads/2010/12/Bernardes.pdf

  185. Coleman, J.B., X. Yao, T. Jordan and M. Madden (2011). Holes in the ocean: Filling voids in bathymetric LiDAR data, Computers & Geosciences, 37: 474-484 https://doi.org/10.1016/j.cageo.2010.11.008

  186. Dash P., N. Walker, D. R. Mishra, C. Hu, J. L. Pinckney, and E. J. D'Sa (2011). Estimation of cyanobacterial pigments in a freshwater lake using OCM satellite data, Remote Sensing of Environment, 115, 3409-3423, http://dx.doi.org/10.1016/j.rse.2011.08.004

  187. Fernandes, K., Baethgen, W., Bernardes, S., Defries, R., DeWitt, D. G., Goddard, L., Lavado, W., Lee, D. E., Padoch, C., Pinedo-Vasquez, M. & Uriarte, M. (2011). North Tropical Atlantic influence on western Amazon fire season variability. Geophysical Research Letters, 38(5) https://doi.org/10.1029/2011GL047392

  188. Kim, M.*, J.B Holt and M. Madden (2011). Comparison of global- and local-scale pansharpening for the rapid assessment of humanitarian emergencies, Photogrammetric Engineering and Remote Sensing, 77(1): 51-63.,  Awarded Second Place, 2012 ERDAS Award for Best Scientific Paper in Remote Sensing, American Society for Photogrammetry and Remote Sensing (ASPRS) https://doi.org/10.14358/PERS.77.1.51

  189. Kim, M.*, T.A. Warner, M. Madden and D.S. Atkinson (2011).  Multi-scale GEOBIA with very high spatial resolution digital aerial imagery: scale, texture and image objects, International Journal of Remote Sensing, 32(10): 2825-2850 https://doi.org/10.1080/01431161003745608

  190. Swain, S., S. Narumalani, and D. R. Mishra (2011). Monitoring Invasive Species: Detecting Purple Loosestrife and Evaluating Biocontrol along the Niobrara River, Nebraska. GIScience and Remote Sensing, 48, 225-244; https://doi.org/10.2747/1548-1603.48.2.225

  191. Yang, B.*, M. Madden, T.R. Jordan and J. Kim (2011). Geospatial analysis of barrier island beach availability, Tourism Management, 33(4): 840-854 https://doi.org/10.1016/j.tourman.2011.08.013

  192. Bernardes, S. (2010). An enhanced vegetation index time series for the Amazon based on combined gap-filling approaches and quality datasets. Proceedings SPIE (p. 78311W-78311W-7). Toulouse, France https://doi.org/10.1117/12.865002

  193. Kim, M.*, M. Madden and B. Xu (2010). GEOBIA Forest Mapping in Great Smoky Mountains National Park, Photogrammetric Engineering and Remote Sensing, 76(2): 137-149 https://doi.org/10.14358/PERS.76.2.137

  194. Meng, Q., B.E. Borders and M. Madden (2010). High-resolution satellite image fusion using regression krigging, International Journal of Remote Sensing, 31(7): 1857-1876 https://doi.org/10.1080/01431160902927937

  195. Mishra, D. R., and S. Mishra (2010). Plume and bloom: effect of the Mississippi River diversion on the water quality of Lake Pontchartrain. Geocrato International, 25(7): 555-568, https://doi.org/10.1080/10106041003763394

  196. Fleming, S., T. Jordan, M. Madden, E.L. Usery and R. Welch (2009). GIS applications for military operations in coastal zones, International Journal for Photogrammetry and Remote Sensing, 64(2): 213-222 https://doi.org/10.1016/j.isprsjprs.2008.10.004

  197. Giraldo, M.A.*, D. Bosch, M. Madden, E.L. Usery and M. Finn (2009). Ground and surface temperature variability for remote sensing of soil moisture in a heterogeneous landscape, Journal of Hydrology, 368(1-4): 214-223 https://doi.org/10.1016/j.jhydrol.2009.02.010

  198. Giraldo, M.A.*, M. Madden and D. Bosch (2009). Land-use/land-cover and soil type co-variation in a heterogeneous landscape for soil moisture studies using point data, GIScience & Remote Sensing, 46(1): 77–100 https://doi.org/10.2747/1548-1603.46.1.77

  199. Kim, M.*, M. Madden and T. Warner (2009). Forest type mapping using object-specific texture measures from multispectral Ikonos imagery, Photogrammetric Engineering and Remote Sensing, 75(7):819-829 https://doi.org/10.14358/PERS.75.7.819

  200. Madden M. and A. Ross (2009). Genocide and GIScience: Using geographic information science (GIScience) to study human rights, Professional Geographer, 61(4): 1-19 https://doi.org/10.1080/00330120903163480

  201. Meng, Q., C.J. Cieszewski, B.E. Borders and M. Madden (2009). Large area forest inventory using Landsat ETM+: a geostatistical approach, ISPRS Journal of Photogrammetry and Remote Sensing, 64: 27-36. Listed No. 2 of Top 25 Hottest Articles in the ISPRS Journal of Photogrammetry and Remote Sensing January – March 2009 https://doi.org/10.1016/j.isprsjprs.2008.06.006

  202. Meng, Q., CJ. Cieszewski, B.E. Borders and M. Madden (2009). Closest spectral fit for removing clouds and cloud shadows, Photogrammetric Engineering and Remote Sensing, 75(5): 569-576 https://doi.org/10.14358/PERS.75.5.569

  203. Mishra, D. R., (2009). High-resolution ocean color remote sensing of coral reefs and associated benthic habitats. In: X. Yang (ed.) Remote Sensing and GIS for Coastal Ecosystem Assessment and Management: Principles and Applications. XIV, 561 p., ISBN: 978-3-540-88182-7, Springer-Verlag GMBH, Germany.

  204. Mishra, S., D. R. Mishra, and W. Schluchter (2009). A novel model for predicting phycocyanin concentrations in cyanobacteria: A proximal hyperspectral remote sensing approach. Remote Sensing, 1(4), 758-775; https://doi.org/10.3390/rs1040758

  205. Narumalani, S., D. R. Mishra, R. Wilson, P. Reece, and A. Kohler (2009). Detecting and Mapping Four Invasive Species along the Floodplain of North Platte River, Nebraska. Weed Technology, 23:99-107, https://doi.org/10.1614/WT-08-007.1

  206. Rundquist, D., A. Gitelson, M. Lawson, G. Keydan, B. Leavitt, R. Perk, J. Keck, D. R. Mishra, and S. Narumalani (2009). Proximal sensing of coral features: spectral characterization of Siderastrea siderea. GIScience and Remote Sensing, 46(2): 139-160, https://doi.org/10.2747/1548-1603.46.2.139

  207. Wahid, A., M. Madden, F. Khalaf, I. Fathy (2009). Land suitability scenarios for arid coastal plains using GIS modeling: Southwestern Sinai Coastal Plain, Journal of Urban and Environmental Engineering, 3(2): 73-83 https://doi.org/10.4090/juee.2009.v3n2.073083

  208. Giraldo, M.A.*, D. Bosch, M. Madden, E.L. Usery and C. Kvien (2008). Landscape complexity and soil moisture variation in South Georgia, USA, for remote sensing applications, Journal of Hydrology, 357(3-4): 405-420 https://doi.org/10.1016/j.jhydrol.2008.05.029

  209. Hoffman, J. D., S. Narumalani, D. R. Mishra, P. Merani, and R. G. Wilson (2008). Predicting Potential Occurrence and Spread of Invasive Plant Species along the North Platte River, Nebraska. Invasive Plant Science and Management, 1:359-367, https://doi.org/10.1614/IPSM-07-048.1

  210. Juárez, R. I. N., Goulden, M. L., Myneni, R. B., Fu, R., Bernardes, S. & Gao, H. (2008). An empirical approach to retrieve monthly evapotranspiration over Amazonia. International Journal of Remote Sensing, 29(24), 7045-7063 https://doi.org/10.1080/01431160802226026

  211. Ling, Y.*, M. Ehlers, E.L. Usery and M. Madden (2008). Effects of spatial resolution ratio in image fusion, International Journal of Remote Sensing, 29(7):2157-2167 https://doi.org/10.1080/01431160701408345

  212. Ling, Y.*, M. Ehlers, E.L. Usery and M. Madden (2007). FFT-Enhanced IHS transform method for fusing high-resolution satellite images, ISPRS Journal of Photogrammetry and Remote Sensing, 61(6): 381-392 https://doi.org/10.1016/j.isprsjprs.2006.11.002

  213. Meng, Q., CJ. Cieszewski, M. Madden and B.E. Borders (2007). K nearest neighbor method for forest inventory using remote sensing data, GIScience & Remote Sensing, 44(2): 1-17 https://doi.org/10.2747/1548-1603.44.2.149

  214. Meng, Q., C.J. Cieszewski and M. Madden (2007). A linear mixed-effects model of biomass and volume of trees using Landsat ETM+ images, Forest Ecology and Management, 244 (1-3): 93-101 https://doi.org/10.1016/j.foreco.2007.03.056

  215. Mishra, D. R., S. Narumalani, D. Rundquist, M. P. Lawson, and R. Perk (2007). Enhancing the detection and classification of coral reef and associated benthic habitats: A hyperspectral remote sensing approach. Journal of Geophysical Research, 112, C08014, https://doi.org/10.1029/2006JC003892

  216. Slack, R.B. and R. Welch (2007). Soil Conservation Service Runoff Curve Number estimates from Landsat data. JAWRA Journal of the American Water Resources Association, 16(5), 887-893 https://doi.org/10.1111/j.1752-1688.1980.tb02504.x

  217. Mishra, D. R., S. Narumalani, D. Rundquist, and M. P. Lawson (2006). Benthic habitat mapping in tropical marine environments using QuickBird imegery. Photogrammetric Engineering and Remote Sensing, 72(9): 1037-1048, https://doi.org/10.14358/PERS.72.9.1037

  218. Mishra, D. R., S. Narumalani, R. Bahl, D. Rundquist, and M. P. Lawson (2006). Predicting the percent cover of corals: An in-situ remote sensing approach. Geophysical Research Letters, 33, L06603, https://doi.org/10.1029/2005GL025056

  219. Narumalani, S., D. R. Mishra, J. Burkholder, Paul B. T. Merani, and G. Wilson (2006). A comparative evaluation of ISODATA and Spectral Angle Mapping for the detection of Saltcedar using airborne hyperspectral imagery. Geocarto International, 21(2): 59-66, https://doi.org/10.1080/10106040608542384

  220. Madden, M. and Giraldo, M. (2005). Landscape modeling and geovisualization (Invited Paper), In, S. Nayak, Ed., Geospatial Today, 3(7):14-20 https://cgr.uga.edu/publications

  221. Mishra, D. R., S. Narumalani, D. Rundquist, and M. Lawson (2005). High resolution ocean color remote sensing of benthic habitats: A case study at the Roatan Island, Honduras. IEEE Transactions in Geosciences and Remote Sensing, 43 (7): 1592-1604, https://doi.org/10.1109/TGRS.2005.847790

  222. Mishra, D. R., S. Narumalani, D. Rundquist, and M. P. Lawson (2005). Characterizing the vertical diffuse attenuation coefficient for downwelling irradiance in coastal water: Implications for water penetration by high resolution satellite data. ISPRS Photogrammetry and Remote Sensing, 60: 48-64; https://doi.org/10.1016/j.isprsjprs.2005.09.003

  223. Narumalani, S., D. R. Mishra, M. Karabulut, and M. A. Palecki, (2005). An assessment of vegetation response to different moisture conditions using SPOT-XS data. International Journal of Geoinformatics, 1(2): 33-46.

  224. Singh, R. P., D. R. Mishra, A. K. Sahoo, and S. Dey (2005). Spatial and temporal variability of soil moisture over India using IRS P4 MSMR Data, International Journal of Remote Sensing, 26(10): 2241-2247; https://doi.org/10.1080/01431160500043723

  225. Madden, M. (2004). Remote sensing and GIS methodologies for vegetation mapping of invasive exotics, Weed Technology, 18:1457-1463 https://www.jstor.org/stable/3989671

  226. Madden, M. (2004). Vegetation modeling, analysis and visualization in U.S. National Parks In, M.O. Altan, Ed., International Archives of Photogrammetry and Remote Sensing, Vol. 35, Part 4B: 1287-1293, https://cgr.uga.edu/publications

  227. Mishra, D. R., S. Dey, and R. P. Singh (2004). Emissivity of various geological terrains using IRS P4 MSMR data. Journal of Geological Society of India, 63: 453-457.

  228. Mishra, D. R., S. Narumalani, M. P. Lawson, and D. C. Rundquist (2004). Deriving a bathymetric map using IKONOS multispectral data. Giscience and Remote Sensing, 41(4): 301-321; https://doi.org/10.2747/1548-1603.41.4.301

  229. Narumalani, S., D. R. Mishra, and R. Rothwell (2004). Change detection and landscape metrics for inferring anthropogenic processes at EFMO, Iowa. Remote Sensing of Environment, 91(3): 478-489; https://doi.org/10.1016/j.rse.2004.04.008

  230. Narumalani, S., D. R. Mishra, and R. Rothwell (2004). Integrating image interpretation and spatial pattern metrics to detect landscape structural change. GIScience and Remote Sensing, 41(1): 25-44, https://doi.org/10.2747/1548-1603.41.1.25

  231. Bacchus, S., D. Archibald, G. Brook, K. Britton, B. Haines, S. Rathbun and M. Madden (2003). Near infared spectroscopy of hydroecological indicator: New tool for determining sustainable yield for Floridan Aquifer System, Hydrological Processes, 17:1785-1809 https://doi.org/10.1002/hyp.1213

  232. Hirano, A., M. Madden and R. Welch (2003). Hyperspectral image data for mapping wetland vegetation, Wetlands, 23(2): 436-448 https://doi.org/10.1672/18-20

  233. Hirano, A., R. Welch and H. Lang (2003). Mapping from ASTER stereo image data: DEM validation and accuracy assessment. ISPRS Journal of Photogrammetry and Remote Sensing, 57, 356-370.

  234. Madden, M. (2003). Visualization and analysis of vegetation patterns in National Parks of the Southeastern United States, In, J. Schiewe, M. Hahn, M. Madden and M. Sester, Eds., Proceedings of Challenges in Geospatial Analysis, Integration and Visualization II, International Society for Photogrammetry and Remote Sensing Commission IV Joint Workshop, Stuttgart, Germany: 143-146 https://cgr.uga.edu/publications

  235. Mishra, D. R., A. K. Sahoo, R. Kanwar, and R. P. Singh (2002). Estimation of monthly rain rate over Indian Ocean region using MSMR data. Current Science, 83 (7): 877-880.

  236. Welch, R. and M. Madden (2002). Vegetation mapping from remotely sensed imagery, Invited Paper, In, Anders Boberg, Ed., Bildteknik/Image Science Nr 2002:1, Photogrammetry Meets Geoinformatics, Swedish Society for Photogrammetry and Remote Sensing, Stockholm, Sweden, pp. 201-206 https://cgr.uga.edu/publications

  237. Welch, R., M. Madden and T. Jordan (2002). Photogrammetric and GIS techniques for the development of vegetation databases of mountainous areas: Great Smoky Mountains National Park, ISPRS Journal of Photogrammetry and Remote Sensing, 57(1-2): 53-68 https://doi.org/10.1016/S0924-2716(02)00118-1

  238. Welch, R., M. Madden, and R. F. Doren (2002). Maps and GIS databases for environmental studies of the Everglades, Chapter 9. In, J. Porter and K. Porter (Eds.) The Everglades, Florida Bay and Coral Reefs of the Florida Keys: An Ecosystem Sourcebook, CRC Press, Boca Raton, Florida: 259-279 https://doi.org/10.1201/9781420039412

  239. Litts, T., H. Russell, A. Thomas and R. Welch (2001). Mapping irrigated lands in the ACF River Basin. In, K.J. Hatcher (Ed.), Proceedings of the 2001 Georgia Water Resources Conference, Institute of Ecology, The University of Georgia, Athens, Georgia, pp. 79-83.

  240. Welch, R., T. Jordan and M. Madden (2000). GPS surveys, DEMs and scanned aerial photographs for GIS database construction and thematic mapping of Great Smoky Mountains National Park. International Archives of Phtogrammetry and Remote Sensing, 33, Part B4/3, 1181-1183.

  241. Doren, R.F., K. Rutchey and R. Welch (1999). The Everglades: A perspective on the requirements and applications for vegetation map and database products. Photogrammetric Engineering and Remote Sensing, 65(2), 155-161.

  242. Madden, M. D. Jones and L. Vilchek (1999). Photointerpretation key for the Everglades Vegetation Classification System, Photogrammetric Engineering and Remote Sensing, 65(2): 171-177 https://www.asprs.org/wp-content/uploads/pers/1999journal/feb/1999_feb_171-177.pdf

  243. Welch, R., Madden, M. and R. Doren (1999). Mapping the Everglades, Photogrammetric Engineering and Remote Sensing, 65(2): 163-170 https://www.asprs.org/wp-content/uploads/pers/1999journal/feb/1999_feb_163-170.pdf

  244. Welch, R., T. Jordan, H. Lang and H. Murakami (1998). ASTER as a source for topographic data in the Late 1990's. IEEE Transactions on Geoscience and Remote Sensing, 36(4), 1282-1289.

  245. Welch, R. and A. Homsey (1997). Datum shifts for UTM coordinates. Photogrammetric Engineering and Remote Sensing, 63(4), 371-375.

  246. Welch, R. and T. Jordan (1997). Comparative mapping from high resolution satellite images and scanned aerial photographs. Proceedings of ACSM/ASPRS Anual Convention and Exposition Technical Papers, Seattle, Washington, 3, 483-484.

  247. Lang, H. and R. Welch (1996). Algorithm Theoretical Basis Document for ASTER Digital Elevation Models. Jet Propulsion Laboratory, Pasadena, California Publication JPL D-13751, ver 2, 63 p..

  248. Lang, H.R., R. Welch, Y. Miyazaki, B. Bailey and G. Kelley (1996). The ASTER along-track stero experiment - A potential source of global DEM data in the late 1990's. In, Proceedings of the Society of Photo-Optical Instrumentation Engineers SPIE, 2817, 95-97.

  249. Welch, R. and T. Jordan (1996). Using scanned aerial photographs. In, S. Morain and S. Lopez Baros (Eds.), Raster Imagery in Geographic Information Systems, Onword Press, Santa Fe, New Mexico, pp. 55-69.

  250. Welch, R. and T. Jordan (1996). Digital orthophoto production in a desktop environment. GIM Magazine, 10(7), 26-27.

  251. Welch, R. and M. Remillard (1996). GPS, photogrammetry and GIS for resource mapping applications. In, C.W. Greve (Ed.), Digital Photogrammetry: An Addendum to the Manual of Photogrammetry, American Society for Photogrammetry and Remote Sensing, Bethesda, Maryland, pp. 183-194.

  252. Welch, R. (1995). Emergin technologies for low cost, integrated GPS, remote sensing and GIS applications. Proceedings of the Cambridge Conference for National Mapping Organizations, Cambridge, England, 6 p..

  253. Thomas, A.W., R. Welch, S.S. Fung and T. R. Jordan (1995). Photogrammetric Measurement of Ephemeral Gully Erosion. U.S. Department of Agriculture, Agricultural Research Service, , ARS-131, 84 p..

  254. Welch, R., M. Remillard and R.F. Doren (1995). GIS database development for South Florida's National Parks and Preserves. Photogrammetric Engineering and Remote Sensing, 61(11), 1371-1381.

  255. Welch, R. and H. Lang (1994). ASTER as a source for topographic data in the Late 1990's. International Archives of Photogrammetry and Remote Sensing, 30(4), 222-224.

  256. Welch, R. and M. Remillard (Eds.) (1994). Integration of GPS, digital images processing and GIS for resource mapping applications. Proceedings of the ISPRS Commission IV Symposium on Mapping and Geographic Information Systems, R. Welch and M. Remillard (Eds.), International Archives of Photogrammetry and Remote Sensing, 30(Part 4), 10-14.

  257. Remillard, M. and R. Welch (1993). GIS technologies for aquatic macrophyte studies: II. Modeling applications. Landscape Ecology, 8(3), 163-175.

  258. Welch, R. (1993). Low-cost softcopy photogrammetry. Geodetical Info Magazine, 7(12), 55-57.

  259. Welch, R., N. Fernandes and T. Jordan (1993). GIS modeling of nonpoint source pollution with remotely sensed data. Proceedings of the 1993 Georgia Water Resources Conference, K.J. Hatcher (Ed.), Institute of Natural Resources, University of Georgia, Athens, Georgia, pp. 142-143.

  260. Welch, R., M. Remillard and J. Alberts (1992). Integration of GPS, remote sensing and GIS techniques for coastal resource management. Photogrammetric Engineering and Remote Sensing, 58(11), 1571-1578.

  261. Welch, R. and D. Papacharalampos (1992). Three-dimensional terrain visualization on personal computers: An application with stereo SIR-B images. Photogrammetric Engineering and Remote Sensing, 58(1), 71-75.

  262. Remillard, M. and R. Welch (1992). GIS technologies for aquatic macrophyte studies: I. Database development and changes in the aquatic environment. Landscape Ecology, 7(3), 151-162.

  263. Welch, R. (1992). Photogrammetry in transition - Analytical to digital. Geodetical Info Magazine, 6(7), 39-41.

  264. Welch, R., M. Remillard and J. Alberts (1991). Integrated re­source databases for coastal management. GIS World, 86-89.

  265. Welch, R. and M. Remillard (1991). Remote sensing/GIS for water resource management applications in the Southeast. Proceedings of the 1991 Georgia Water Resources Conference, University of Georgia, Athens GA, 3 p..

  266. Welch, R., M. Remillard and R. Slack (1991). Remote sensing and geographic information system techniques for aquatic resource evaluation - Reprinted. Geographical Information Systems and Remote Sensing in Inland Fisheries and Aquaculture, G.J. Meaden and J.M. Kapetsky (Eds.), FAO Fisheries Technical Papers 318, Food and Agricultural Organization of the United Nations, New York, New York: 243-246..

  267. Welch, R. (1990). 3-D terrain modeling for GIS applications. GIS World, 3(5), 26-30.

  268. Welch, R., T. Jordan and J.C. Luvall (1990). Geocoding and stereo display of tropical forest multisensor datasets. Photogrammetric Engineering and Remote Sensing, 56(10), 1389-1392.

  269. Welch, R. and D. Papacharalampos (1990). Computation and display of terrain models from stereo imaging radar data. Remote Sensing for the Nineties, Proceedings of the IEEE10th Annual International Geoscience & Remote Sensing Symposium, College Park, Maryland, 3, 1967-1969.

  270. Ursey, E.L., and R. Welch (1989). A raster approach to topographic map revision. Photogrammetric Engineering and Remote Sensing, 55(1), 55-59.

  271. Welch, R., M. Remillard and R. Slack (1989). Remote sensing and geographic information system techniques for aquatic resource evaluation - Reprinted. In, Fundamentals of Geographic Information Systems: A Compendium, Ripple, W.J. (Ed.), American Society for Photogrammetry and Remote Sensing, Bethesda, Maryland, 185-193.

  272. Welch, R. (1989). Desktop mapping with personal computers. Photogrammetric Engineering and Remote Sensing, 55(11), 1651-1662.

  273. Thomas, A. and R. Welch (1988). Measurement of ephemeral gully erosion. Transactions of the American Society of Agricultural Engineering ASAE, 31(6), 1723-1728 https://doi: 10.13031/2013.30927

  274. Welch, R. and M. Ehlers (1988). Cartographic feature extraction with integrated SIR-B and Landsat TM images. International Journal of Remote Sensing, 9(5), 873-889.

  275. Welch, R., M. Remillard and R. Slack (1988). Remote sensing and geographic information system techniques for aquatic resource evaluation . Photogrammetric Engineering and Remote Sensing, 54(2), 177-185.

  276. Welch, R.A. (1987). Integration of photogrammetric, remote sensing and database technologies for mapping applications. Photogrammetric Record, 12(70), 409-428.

  277. Ehlers, M. and R. Welch (1987). Stereo correlation of Landsat TM images. Photogrammetric Engineering and Remote Sensing, 53(9), 1231-1237.

  278. Welch, R. and M. Ehlers (1987). Merging multiresolution SPOT HRV and Landsat TM Data. Photogrammetric Engineering and Remote Sensing, 53(3), 301-303.

  279. Welch, R., M. Remillard, S.S. Fung and R.B. Slack (1986). Monitoring aquatic vegetation and water quality with a geographic information system. Proceedings of Geographic Information Systems Workshop, Atlanta, Georgia, pp. 302-303.

  280. Thomas, A., R. Welch and T. Jordan (1986). Quantifying concentrated-flow erosion on cropland with aerial photogrammetry. Journal of Soil and Water Conservation, 41(4), 249-252.

  281. Welch, R., T. Jordan and M. Ehlers (1985). Comparative evaluations of the geodetic accuracy and cartographic potential of Landsat-4 and Landsat-5 TM Thematic Mapper image data. Photogrammetric Engineering and Remote Sensing, 51(9), 1249-1262.

  282. Welch, R. (1985). Cartographic potential of SPOT image data. Photogrammetric Engineering and Remote Sensing, 51(8), 1085-1091.

  283. Welch, R. and A. Thomas (1985). Aerial photogrammetry: A potential technology for monitoring soil erosion. Imaging Technology in Research and Development - Photomethods, 28(5), 4-7.

  284. Welch, R. (1984). Merging Landsat 4 and SIR-A image data in digital formats. Imaging Technology Research and Development,Supplement to Photomethods, pp. 11-12.

  285. Welch, R. (1984). Mapping the Earth from space inthe 1980s. Proceedings of the Society of Photo-Optical Instrumentation Engineers SPIE, 475, 136-146.

  286. Welch, R., T. Jordan and A. Thomas (1984). A photogrammetric technique for measuring soil erosion. Journal of Soil and Water Conservation, 39(3), 191-194. https://doi.org/10.1080/00224561.1984.12455758

  287. Welch, R. and E.L. Usery (1984). Cartographic accuracy of Landsat-4 MSS and TM image data. IEEE Transactions on Geoscience and Remote Sensing, GE-22(3), 281-288.

  288. Welch, R. and T. Jordan (1983). Analytical non-metric close-range photogrammetry for monitoring stream channel erosion. Photogrammetric Engineering and Remote Sensing, 49(3), 367-374.

  289. Welch, R., T. Jordan and E.L. Usery (1983). Microcomputers in the mapping sciences. Computer Graphics World, 6(2), 33-42.

  290. Welch, R. and T. Jordan (1982). Simple analytical procedures for mapping terrain features from close range photographs. Proceedings of the Amercian Society for Photogrammetry, Falls Church, Virginia, pp. 425-428.

  291. Welch, R. and C.W. Pannell (1982). Comparative resolution of Landsat-3 MSS and RBV image data of China. The Photogrammetric Record, 10(59), 575-586.

  292. Aniya, M. and R. Welch (1981). Morphometric analyses of Antarctic cirques from photogrammetric measurements. Geografiska Annaler, 63(2), 41-53 https://doi.org/10.1080/04353676.1981.11880017

  293. Welch, R. and W. Marko (1981). Cartographic potential of a spacecraft line-array camera systemL Sterosat. Photogrammetric Engineering and Remote Sensing, 47(8), 1173-1185.

  294. Welch, R. (1980). Monitoring urban population and energy utilization patterns from satellite data. Remote Sensing of Environment, 9(1), 1-9.

  295. Welch, R. and S. Zupko (1980). Urbanized area energy utilization patterns from DMSP data. Photogrammetric Engineering and Remote Sensing, 46(2), 201-207.

  296. Welch, R. (1980). Measurements from Linear Array Camera images. Photogrammetric Engineering and Remote Sensing, 46(3), 315-318.

  297. Pannell, C.W. and R. Welch (1980). Recent growth and structural change in Chinese cities. Urban Geography, 1(1), 68-80 https://doi.org/10.2747/0272-3638.1.1.68

  298. Slack, R.B. and R. Welch (1980). Soil Conservation Service Runoff Curve Number estimates from Landsat data. Water Resources Bulletin, Paper No. 80055.

  299. Welch, R. (1979). Acquisition of remote sensor data with linear arrays. Photogrammetric Engineering and Remote Sensing, 45(1), 45-46.

  300. Welch, R. (1979). International Society for Potogrammetry Symposium, 1978 - Data acquisition and improvement of image quality and geometry. Photogrammetric Record, IX(53), 679-683.

  301. Welch, R. (1979). Inter-Congress Symposia of the International Society for Photogrammetry, Commission I. Photogrammetric Engineering and Remote Sensing, 45(4), 477-480.

  302. Welch, R., H.C. Lo and C.W. Pannell (1979). Mapping China's new agricultural lands. Photogrammetric Engineering and Remote Sensing, 45(9), 1211-1228.

  303. Welch, R. (1978). Geographic remote sensing at the University of Georgia. Remote Sensing of the Electromagetic Spectrum, 5(1), 1-12.

  304. Welch, R. (1978). Modulation Transfer Function (MTF) analysis for post-flight image evaluation. Society of Photo-Optical Instrumentation Engineers Airborne Reconnaissance, III, 137, 13-17.

  305. Welch, R., P.N. Slater, H. Tiziani and J.C. Trinder (1978). Summary report of the Image Quality Working Group (WG-1) 1976-1978. Proceedings of the International Society for Photogrammetry Commission I Symposium on Data Acquisition and Improvement of Image Quality and Image Geometry, Tokyo, Japan, 3 p..

  306. Welch, R. (1978). Monitoring urban population and energy utilization patterns from satellite data. Proceedings of the International Symposium on Remote Sensing for Observation and Inventory of Earth Resources and the Endangered Environment, Freiburg, FRG, II, 875-883.

  307. Welch, R. (1978). Report of the Primary Data Acquisition Division. Photogrammetric Engineering and Remote Sensing, 44(7), 939-940.

  308. Welch, R. and K. Dikkers (1978). Educational and research aspects of non-metric close range analogue photogrammetry. Photogrammetric Record, 9(52), 537-547.

  309. Welch, R. (1977). XIII Congress of the International Society for Photogrammetry, Commission I Report. Photogrammetric Engineering and Remote Sensing, 43(3), 311-313.

  310. Norton, C.L., G.C. Brock and R. Welch (1977). Optical and Modulation Transfer Functions. Photogrammetric Engineering and Remote Sensing, 43(5), 613-636.

  311. Lo, C.P., C.W. Pannell and R. Welch (1977). Land use changes and city planning in Shenyang and Canton. Geographical Review, 67(3), 268-283.

  312. Welch, R. (1977). Progress in the specification and analysis of image quality. Photogrammetric Engineering and Remote Sensing, 43(6), 709-719.

  313. Lo, C.P., and R. Welch (1977). Chinese urban population estimates. Annals, Association of American Geographers, 67(2), 246-253.

  314. Welch, R. and C.P. Lo (1977). Heigh measurements from satellite images. Photogrammetric Engineering and Remote Sensing, 43(10), 1233-1242.

  315. Welch, R. (1977). Landsat cartographic applications. Proceedings; CENTO Workshop on Applications of Remote Sensing Data and Methods, Lahore, Pakistan, U.S. Geologcial Survey Open File Report 77-488, 112-124.

  316. Pannell, C.W. and R. Welch (1976). Recent satellite coverage of China. China Geographer, 3, 21-33.

  317. Welch, R. (1976). Skylab S-1908 ETC photo quality. Photogrammetric Engineering and Remote Sensing, 42(8), 1057-1060.

  318. Welch, R. (1976). Progress in the specification and analysis of image quality. International Archives of Photogrammetry, 17, 15 p..

  319. Welch, R. and J. Halliday (1975). Image quality controls for aerial photography. Photogrammetric Record, 8(5), 317-325.

  320. Welch, R. (1975). Photogrammetric image evaluation techniques. Photogrammetria, 31(5), 161-190.

  321. Welch, R., C.W. Pannell and C.P. Lo (1975). Land use in Northeast China, 1973 - A view from Landsat-1. Annals, Association of American Geographers, 65(4), 595-596, Map Suppliment number 19.

  322. Welch, R. (1974). Skylab photo evaluation. Proceedings of the American Society of Photogrammetry 40th Annual Meeting, St. Louis, 35-40.

  323. Welch, R. (1974). MTF analysis techniques applied to ERTS-1 and Skylab-2 imagery. Proceedings of the Society of Photo-Optical Instrumentation Engineers, 46, 258-262.

  324. Welch, R. (1974). Skylab-2 photo evaluation. Photogrammetric Engineering, 40(10), 1221-1224.

  325. Welch, R. (1973). Cartographic quality of ERTS-1 images. Proceedings of Symposium on Significant Results Obtained from ERTS-1, NASA Goddard Space Flight Center, Greenbelt, Maryland, I, ppp. 879-886.

  326. Welch, R. and J. Halliday (1973). Imaging characteristics of photogrammetric cameras. Photogrammetria, 29, 1-43.

  327. Welch, R. (1972). Quality and applications of aerospace imagery. Photogrammetric Engineering, 38(4), 379-398.

  328. Welch, R. (1972). The prediction of resolving power of air and space photographic systems. Image Technology, 14(5), 25-32.

  329. Welch, R. (1972). Photomap image quality. The Cartographic Journal, 9(2), 87-92.

  330. Welch, R. (1972). ERTS-1 image quality. Proceedings of the Eighth International Symposium on Remote Sensing of Environment, University of Michigan, pp. 1411-1423.

  331. Welch, R. (1971). Modulation transfer functions. Photogrammetric Engineering, 37(3), 247-259.

  332. Welch, R. (1971). Earth satellite camera systems: Resolution estimates and mapping applications. The Photogrammetric Record, 7(38), 237-246.

  333. Welch, R. (1971). Remote sensing for water pollution control. Photogrammetric Engineering, 37(12), 1285-1286.

Edited Journal Issues

  1. Women’s Special Issue Series: Remote Sensing. Madden, M., Coffin, A. and Rivero, R. (Guest Editors), 2023-2024. Remote Sensing. (link)

  2. Geodata Science and Spatial Analysis with Remote Sensing, Special Issue. Qiangqiang Y., Bin G., and Bernardes, S. (Guest Editors). 2023-2024. Remote Sensing. (link)

  3. Recent Advantages in Geospatial Techniques for Monitoring and Mitigating Climate Change Effects on Human Health. Madden, M. and M.N.K. Boulos, (Guest Editors), 2023-2024. International Journal of Health Geographics. (link)

  4. Remote Sensing of the Amazon Region. Special Issue. Funatsu, B. and Bernardes, S. (Guest Editors). 2022-2023. Remote Sensing. (link)

  5. Deep Learning and Computer Vision for GeoInformation Sciences, Haworth, J., S. Dragicevic, M. Wang, H. Huang and M. Madden (Guest Editors), 2019-2021. ISPRS Journal of Geo-Information, (link)

  6. Application of Geospatial Science in Disaster Mitigation and Conflict Resolution in Africa, Musakwa, W., F. Ujoh, M. Madden and A. Van Niekerk (Guest Editors), 2021. Geo-Spatial Information Science (GSIS),

  7. Integrating GIS and Internet of Things (IoT) in Sustainable Cities, Madden, M., M. Wang, D. Raj Paudyal and G. Vacca (Guest Editors.), 2019-2020. ISPRS Journal of Geo-Information, (link)

Authored Books and Book Sections

  1. Howard, A., Bernardes, S. Virtual Perception and the Accessible Implementation of VR/AR Technology in Psychology Education. In Ethical Considerations of Virtual Reality in the College Classroom: Cross-Disciplinary Case Studies of Immersive Technology Implementation. Routledge Publishing. (link)

  2. Bernardes, S. & Madden, M. 2021. Digital Preservation of Historical Heritage Using 3D Models and Augmented Reality. In: Fundamentals of Capturing and Processing Drone Imagery and Data (Frazier, A. and Kunwar, S., Editors). CRC Press. (link)

  3. Bernardes, S. 2020. Domain Transforms and Analyses using Fourier and Wavelets. In, Moran, S., Renslow, M. & Budge, A. (Ed). Manual of Remote Sensing (4th Edition). American Society for Photogrammetry and Remote Sensing - ASPRS, Bethesda, Maryland. (link)

  4. Bernardes, S. & Madden, M. 2020. Current status and Future Developments in Image Processing and Analysis. In, Moran, S., Renslow, M. & Budge, A. (Ed). Manual of Remote Sensing (4th Edition). American Society for Photogrammetry and Remote Sensing - ASPRS, Bethesda, Maryland. (link)

  5. Cotten, D., Jordan, T., Madden, M. & Bernardes, S. 2020. Structure from Motion and 3D Reconstruction. In, Moran, S., Renslow, M. & Budge, A. (Ed). Manual of Remote Sensing (4th Edition). American Society for Photogrammetry and Remote Sensing - ASPRS, Bethesda, Maryland. (link)

  6. Zhang, Q., Yao, T., Sun, G. & Bernardes, S. 2020. Vegetation Radiative Transfer Theory and Modeling with PROSAIL2. In, Moran, S., Renslow, M. & Budge, A. (Ed). Manual of Remote Sensing (4th Edition). American Society for Photogrammetry and Remote Sensing - ASPRS, Bethesda, Maryland. (link)

  7. Madden, M., Jordan, T., Bernardes, S., Goetcheus, C., Olson K., & Cotten,D. 2019. Small Unmanned Aerial Systems (sUAS) and Structure from Motion (SfM) for Identifying, Documenting and Monitoring Cultural and Natural Resources, Invited Chapter, In, J.B. Sharma (Ed), Applications of Small Unmanned Aircraft Systems: Best Practices and Case Studies, CRC Press Taylor & Francis Group, Boca Raton, Florida. (link)

  8. Madden, M., Jordan, T., Bernardes, S., Cotten, D. L., O’Hare, N. & Pasqua, A. (2015) Unmanned Aerial Systems (UAS) and Structure from Motion (SfM) Revolutionize Wetlands Mapping. In: Remote Sensing of Wetlands: Applications and Advances. Tiner, R. W., Lang, M. W. & Klemas, V. V. (Ed.). CRC Press. (link)

Edited Books and Book Sections

  1. Image Processing and Analysis Methods. (2020) Bernardes, S. & Madden, M. (Chapter Editors). In, Moran, S., Renslow, M. & Budge, A. (Editors). Manual of Remote Sensing (4th Edition). American Society for Photogrammetry and Remote Sensing - ASPRS, Bethesda, Maryland. (link)

  2. Ecology, Conservation, and Restoration of Chilika Lagoon, India (2020). C. Max Finlayson, G. Rastogi, D. R. Mishra and A. Pattnaik. 1st Edition, pp. 438, ISBN: 978-3-030-33423-9, Springer, Switzerland. (link)

  3. Bio-Optical Modeling and Remote Sensing of Inland Waters (2017). D. R. Mishra, I. Ogashawara and A. A. Gitelson. 1st Edition, pp. 332, ISBN: 978-0-128-04644-9, Elsevier, Waltham, MA. (link)

  4. The Manual of Geographic Information Systems (2009). Madden, M. (Editor). American Society for Photogrammetry and Remote Sensing, Bethesda, Maryland, 62 chapters, 1330 p. (link)

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