| Application of vegetation indices for agricultural crop yield prediction using neural network techniques SS Panda, DP Ames, S Panigrahi Remote sensing 2 (3), 673-696, 2010 | 444 | 2010 |
| Assessment of storm direct runoff and peak flow rates using improved SCS-CN models for selected forested watersheds in the Southeastern United States A Walega, DM Amatya, P Caldwell, D Marion, S Panda Journal of Hydrology: Regional Studies 27, 100645, 2020 | 97 | 2020 |
| Remote sensing and geospatial technological applications for site-specific management of fruit and nut crops: A review SS Panda, G Hoogenboom, JO Paz Remote Sensing 2 (8), 1973-1997, 2010 | 90 | 2010 |
| Artificial neural networks application in lake water quality estimation using satellite imagery SS Panda, V Garg, I Chaubey Journal of Environmental Informatics 4 (2), 65-74, 2004 | 66 | 2004 |
| Distinguishing blueberry bushes from mixed vegetation land use using high resolution satellite imagery and geospatial techniques SS Panda, G Hoogenboom, J Paz Computers and Electronics in Agriculture 67 (1-2), 51-58, 2009 | 56 | 2009 |
| Site-specific management of common olive: Remote sensing, geospatial, and advanced image processing applications O Noori, SS Panda Computers and electronics in agriculture 127, 680-689, 2016 | 34 | 2016 |
| Application of LiDAR data for hydrologic assessments of low-gradient coastal watershed drainage characteristics D Amatya, C Trettin, S Panda, H Ssegane Scientific Research Publishing, 2013 | 30 | 2013 |
| 2016 billion-ton report: advancing domestic resources for a thriving bioeconomy, volume 2: environmental sustainability effects of select scenarios from volume 1 RA Efroymson, MH Langholtz, K Johnson, B Stokes, CC Brandt, MR Davis, ... Oak Ridge National Lab.(ORNL), Oak Ridge, TN (United States), 2017 | 22 | 2017 |
| Application of vegetation indices for agricultural crop yield prediction using neural network techniques. Remote Sens 2: 673–696 SS Panda, DP Ames, S Panigrahi | 18 | 2010 |
| Remote Sensing Systems—Platforms and Sensors: Aerial, Satellite, UAV, Optical, Radar, and LiDAR SS Panda, MN Rao Remotely Sensed Data Characterization, Classification, and Accuracies, 37-92, 2015 | 17 | 2015 |
| Automating arc hydro for watershed delineation C Kraemer, SS Panda Proceedings of the 2009 Georgia water resources conference, held at the …, 2009 | 17 | 2009 |
| Assessment of spatial and temporal variation of potential evapotranspiration estimated by four methods for South Carolina DM Amatya, A Muwamba, S Panda, T Callahan, S Harder, CA Pellett Journal of South Carolina Water Resources 5 (1), 5, 2018 | 15 | 2018 |
| Crop yield forecasting from remotely sensed aerial images with self-organizing maps SS Panda, S Panigrahi, DP Ames Transactions of the ASABE 53 (2), 323-338, 2010 | 15 | 2010 |
| Estimates of precipitation IDF curves and design discharges for road-crossing drainage structures: case study in four small forested watersheds in the Southeastern US DM Amatya, S Tian, DA Marion, P Caldwell, S Laseter, MA Youssef, ... Journal of Hydrologic Engineering 26 (4), 05021004, 2021 | 12 | 2021 |
| Assessment of miscanthus yield potential from strip-mined lands (SML) and its impacts on stream water quality K Sahoo, AM Milewski, S Mani, N Hoghooghi, SS Panda Water 11 (3), 546, 2019 | 12 | 2019 |
| Forests, land use change, and water DM Amatya, G Sun, CG Rossi, HS Ssegane, JE Nettles, S Panda Impact of Climate Change on Water Resources in Agriculture, 2015 | 12 | 2015 |
| Blueberry crop growth analysis using climatologic factors and multi-temporal remotely sensed imageries SS Panda, J Martin, G Hoogenboom Georgia Institute of Technology, 2011 | 12 | 2011 |
| Site-specific forage management of sericea lespedeza: Geospatial technology-based forage quality and yield enhancement model development SS Panda, TH Terrill, AK Mahapatra, B Kelly, ER Morgan, JA Wyk Agriculture 10 (9), 419, 2020 | 11 | 2020 |
| Intermolecular interaction of dextran with urea S Panda, AP Mahapatra International Journal of Innovative Technology and Exploring Engineering 8 …, 2019 | 10 | 2019 |
| Stomatal Conductance, Canopy Temperature, and Leaf Area Index Estimation Using Remote Sensing and OBIA techniques. S Panda, DM Amatya, G Hoogenboom Journal of Spatial Hydrology 12 (1), 2014 | 10 | 2014 |
