Support vector machines regression for retrieval of leaf area index from multiangle imaging spectroradiometer SS Durbha, RL King, NH Younan Remote sensing of environment 107 (1-2), 348-361, 2007 | 330 | 2007 |
Semantics-enabled framework for knowledge discovery from Earth observation data archives SS Durbha, RL King IEEE Transactions on geoscience and remote sensing 43 (11), 2563-2572, 2005 | 113 | 2005 |
A machine learning based spatio-temporal data mining approach for detection of harmful algal blooms in the Gulf of Mexico B Gokaraju, SS Durbha, RL King, NH Younan IEEE Journal of selected topics in applied earth observations and remote …, 2011 | 92 | 2011 |
Interoperable agro-meteorological observation and analysis platform for precision agriculture: A case study in citrus crop water requirement estimation S Sawant, SS Durbha, A Jagarlapudi Computers and electronics in agriculture 138, 175-187, 2017 | 78 | 2017 |
PMU placement considerations—A roadmap for optimal PMU placement V Madani, M Parashar, J Giri, S Durbha, F Rahmatian, D Day, M Adamiak, ... 2011 IEEE/PES Power Systems Conference and Exposition, 1-7, 2011 | 69 | 2011 |
Time series forecasting of univariate agrometeorological data: a comparative performance evaluation via one-step and multi-step ahead forecasting strategies S Suradhaniwar, S Kar, SS Durbha, A Jagarlapudi Sensors 21 (7), 2430, 2021 | 51 | 2021 |
Semantics-enabled framework for spatial image information mining of linked earth observation data KR Kurte, SS Durbha, RL King, NH Younan, R Vatsavai IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2016 | 36 | 2016 |
Feature identification via a combined ICA–wavelet method for image information mining VP Shah, NH Younan, SS Durbha, RL King IEEE Geoscience and remote sensing letters 7 (1), 18-22, 2009 | 36 | 2009 |
A framework for semantic reconciliation of disparate earth observation thematic data SS Durbha, RL King, VP Shah, NH Younan Computers & Geosciences 35 (4), 761-773, 2009 | 36 | 2009 |
Knowledge mining in earth observation data archives: a domain ontology perspective SS Durbha, RL King IGARSS 2004. 2004 IEEE International Geoscience and Remote Sensing Symposium 1, 2004 | 35 | 2004 |
Evaluation of citrus gummosis disease dynamics and predictions with weather and inversion based leaf optical model MR Badnakhe, SS Durbha, A Jagarlapudi, RM Gade Computers and Electronics in Agriculture 155, 130-141, 2018 | 34 | 2018 |
Standards-based middleware and tools for coastal sensor web applications SS Durbha, RL King, SK Amanchi, S Bheemireddy, NH Younan IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2010 | 29 | 2010 |
High performance GPU computing based approaches for oil spill detection from multi-temporal remote sensing data U Bhangale, SS Durbha, RL King, NH Younan, R Vatsavai Remote Sensing of Environment 202, 28-44, 2017 | 28 | 2017 |
Nutrient fertilizer requirements for sustainable biomass supply to meet US bioenergy goal FX Han, RL King, JS Lindner, TY Yu, SS Durbha, NH Younan, DL Monts, ... biomass and bioenergy 35 (1), 253-262, 2011 | 27 | 2011 |
An information semantics approach for knowledge management and interoperability for the global earth observation system of systems SS Durbha, RL King, NH Younan IEEE Systems Journal 2 (3), 358-365, 2008 | 27 | 2008 |
An ensemble machine learning approach for determination of the optimum sampling time for evapotranspiration assessment from high-throughput phenotyping data S Kar, VK Purbey, S Suradhaniwar, LB Korbu, J Kholová, SS Durbha, ... Computers and Electronics in Agriculture 182, 105992, 2021 | 26 | 2021 |
Wrapper-based feature subset selection for rapid image information mining SS Durbha, RL King, NH Younan IEEE Geoscience and Remote Sensing Letters 7 (1), 43-47, 2009 | 26 | 2009 |
A systematic approach to wavelet-decomposition-level selection for image information mining from geospatial data archives VP Shah, NH Younan, SS Durbha, RL King IEEE transactions on geoscience and remote sensing 45 (4), 875-878, 2007 | 22 | 2007 |
Automated discretization of ‘transpiration restriction to increasing VPD’features from outdoors high-throughput phenotyping data S Kar, R Tanaka, LB Korbu, J Kholová, H Iwata, SS Durbha, ... Plant methods 16, 1-20, 2020 | 21 | 2020 |
A spatio-temporal ontological model for flood disaster monitoring KR Kurte, SS Durbha, RL King, NH Younan, AV Potnis 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2017 | 21 | 2017 |