| Hyperspectral remote sensing of vegetation and agricultural crops PS Thenkabail, MK Gumma, P Teluguntla, AM Irshad Photogrammetric Engineering & Remote Sensing (TSI) 80 (8), 695-723, 2014 | 927* | 2014 |
| Automated cropland mapping of continental Africa using Google Earth Engine cloud computing J Xiong, PS Thenkabail, MK Gumma, P Teluguntla, J Poehnelt, ... ISPRS Journal of Photogrammetry and Remote Sensing 126, 225-244, 2017 | 561 | 2017 |
| A 30-m landsat-derived cropland extent product of Australia and China using random forest machine learning algorithm on Google Earth Engine cloud computing platform P Teluguntla, P Thenkabail, A Oliphant, J Xiong, MK Gumma, ... ISPRS Journal of Photogrammetry and Remote Sensing 144, 325-340, 2018 | 520 | 2018 |
| Global irrigated area map (GIAM), derived from remote sensing, for the end of the last millennium PS Thenkabail, CM Biradar, P Noojipady, V Dheeravath, Y Li, M Velpuri, ... International Journal of Remote Sensing 30 (14), 3679-3733, 2009 | 495 | 2009 |
| Nominal 30-m cropland extent map of continental Africa by integrating pixel-based and object-based algorithms using Sentinel-2 and Landsat-8 data on Google Earth Engine J Xiong, PS Thenkabail, JC Tilton, MK Gumma, P Teluguntla, A Oliphant, ... Remote Sensing 9 (10), 1065, 2017 | 439 | 2017 |
| Mapping rice areas of South Asia using MODIS multitemporal data MK Gumma, A Nelson, PS Thenkabail, AN Singh Journal of Applied Remote Sensing 5 (1), 053547-053547-26, 2011 | 299 | 2011 |
| Selection of hyperspectral narrowbands (HNBs) and composition of hyperspectral twoband vegetation indices (HVIs) for biophysical characterization and discrimination of crop … PS Thenkabail, I Mariotto, MK Gumma, EM Middleton, DR Landis, ... IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2013 | 274 | 2013 |
| A global map of rainfed cropland areas (GMRCA) at the end of last millennium using remote sensing CM Biradar, PS Thenkabail, P Noojipady, Y Li, V Dheeravath, H Turral, ... International journal of applied earth observation and geoinformation 11 (2 …, 2009 | 250 | 2009 |
| Mapping seasonal rice cropland extent and area in the high cropping intensity environment of Bangladesh using MODIS 500m data for the year 2010 MK Gumma, PS Thenkabail, A Maunahan, S Islam, A Nelson ISPRS Journal of Photogrammetry and Remote Sensing 91 (5), 98-113, 2014 | 234 | 2014 |
| Mapping cropland extent of Southeast and Northeast Asia using multi-year time-series Landsat 30-m data using a random forest classifier on the Google Earth Engine Cloud AJ Oliphant, PS Thenkabail, P Teluguntla, J Xiong, MK Gumma, ... International Journal of Applied Earth Observation and Geoinformation 81 …, 2019 | 220 | 2019 |
| Spectral matching techniques to determine historical land-use/land-cover (LULC) and irrigated areas using time-series 0.1-degree AVHRR Pathfinder datasets P Thenkabail, P GangadharaRao, T Biggs, MK Gumma, H Turral Photogrammetric Engineering & Remote Sensing 73 (10), 1029-1040, 2007 | 211 | 2007 |
| Mapping rice-fallow cropland areas for short-season grain legumes intensification in South Asia using MODIS 250 m time-series data MK Gumma, PS Thenkabail, P Teluguntla, MN Rao, IA Mohammed, ... International Journal of Digital Earth 9 (10), 981-1003, 2016 | 182 | 2016 |
| Mapping of groundwater potential zones across Ghana using remote sensing, geographic information systems, and spatial modeling MK Gumma, P Pavelic Environmental monitoring and assessment 185 (4), 3561-3579, 2013 | 178 | 2013 |
| Tactile sensor based on piezoelectric resonance GM Krishna, K Rajanna IEEE sensors journal 4 (5), 691-697, 2004 | 175 | 2004 |
| Irrigated area mapping in heterogeneous landscapes with MODIS time series, ground truth and census data, Krishna Basin, India TW Biggs, PS Thenkabail, MK Gumma, CA Scott, GR Parthasaradhi, ... International Journal of Remote Sensing 27 (19), 4245-4266, 2006 | 172 | 2006 |
| Agricultural cropland extent and areas of South Asia derived using Landsat satellite 30-m time-series big-data using random forest machine learning algorithms on the Google … MK Gumma, PS Thenkabail, PG Teluguntla, A Oliphant, J Xiong, C Giri, ... GIScience & Remote Sensing 57 (3), 302-322, 2020 | 165 | 2020 |
| Assessing future risks to agricultural productivity, water resources and food security: How can remote sensing help? PS Thenkabail, JW Knox, M Ozdogan, MK Gumma, RG Congalton, Z Wu, ... Photogrammetric Engineering & Remote Sensing 78 (8), 2012 | 158 | 2012 |
| Mapping irrigated areas of Ghana using fusion of 30 m and 250 m resolution remote-sensing data MK Gumma, PS Thenkabail, F Hideto, A Nelson, V Dheeravath, D Busia, ... Remote Sensing 3 (4), 816-835, 2011 | 150 | 2011 |
| A holistic view of global croplands and their water use for ensuring global food security in the 21st century through advanced remote sensing and non-remote sensing approaches PS Thenkabail, MA Hanjra, V Dheeravath, M Gumma Remote sensing 2 (1), 211-261, 2010 | 141 | 2010 |
| Remotely Sensed Data Characterization, Classification, and Accuracies PS Thenkabail CRC Press, 2015 | 131 | 2015 |
Prasad ThenkabailSenior Scientist (ST) the United States Geological Survey (USGS)Bestätigte E-Mail-Adresse bei usgs.gov
