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. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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.

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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.

  18. 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

  19. 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

  20. 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

  21. 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

  22. 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

  23. 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

  24. 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

  25. 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

  26. 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

  27. 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

  28. 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

  29. 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

  30. 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

  31. 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

  32. 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

  33. 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

  34. 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

  35. 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

  36. 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

  37. 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

  38. 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

  39. 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

  40. 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

  41. 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

  42. 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

  43. 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

  44. 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

  45. 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

  46. 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

  47. 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

  48. 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

  49. 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

  50. 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

  51. 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

  52. 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

  53. 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

  54. 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

  55. 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

  56. 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

  57. 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

  58. 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

  59. 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

  60. 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

  61. 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

  62. 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.

  63. 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

  64. 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

  65. 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

  66. 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

  67. 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

  68. 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

  69. 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

  70. 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

  71. 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

  72. 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.

  73. 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

  74. 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

  75. 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

  76. 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.

  77. 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

  78. 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

  79. 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

  80. 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

  81. 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

  82. 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

  83. 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

  84. 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

  85. 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

  86. 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

  87. 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

  88. 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

  89. 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.

  90. 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

  91. 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

  92. 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

  93. 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

  94. 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

  95. 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.

  96. 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

  97. 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

  98. 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

  99. 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

  100. 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

  101. 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

  102. 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

  103. 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

  104. 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

  105. 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

  106. 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

  107. 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

  108. 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

  109. 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

  110. 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

  111. 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

  112. 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

  113. 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

  114. 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

  115. 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/

  116. 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

  117. 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

  118. 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

  119. 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

  120. 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.

  121. 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.

  122. 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.

  123. 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.

  124. 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.

  125. 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

  126. 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

  127. 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

  128. 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

  129. 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

  130. 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

  131. 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

  132. 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

  133. 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

  134. 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

  135. 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

  136. 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

  137. 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.

  138. 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.

  139. 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

  140. 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

  141. 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

  142. 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

  143. 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

  144. 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

  145. 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

  146. 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

  147. 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

  148. 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

  149. 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

  150. 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

  151. 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

  152. 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

  153. 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

  154. 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

  155. 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.

  156. 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

  157. 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

  158. 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

  159. 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.

  160. 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

  161. 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

  162. 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

  163. 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

  164. 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

  165. 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

  166. 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

  167. 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

  168. 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

  169. 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

  170. 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

  171. 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

  172. 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

  173. 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

  174. 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

  175. 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

  176. 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

  177. 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

  178. 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

  179. 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

  180. 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

  181. 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

  182. 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

  183. 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

  184. 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

  185. 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

  186. 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

  187. 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

  188. 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

  189. 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.

  190. 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

  191. 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

  192. 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

  193. 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

  194. 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

  195. 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

  196. 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

  197. 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

  198. 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

  199. 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

  200. 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

  201. 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

  202. 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

  203. 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

  204. 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

  205. 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

  206. 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

  207. 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

  208. 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.

  209. 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

  210. 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

  211. 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

  212. 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.

  213. 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

  214. 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

  215. 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

  216. 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

  217. 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

  218. 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

  219. 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.

  220. 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

  221. 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

  222. 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

  223. 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

  224. 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

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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