|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
|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
|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
|A Global Irrigated Area Map (GIAM) using remote sensing at the end of the last millennium|
PS Thenkabail, CM Biradar, P Noojipady, V Dheeravath, YJ Li, M Velpuri, ...
International Water Management Institute, 2008
|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
|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
|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
|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
|Influence of resolution in irrigated area mapping and area estimation|
NM Velpuri, PS Thenkabail, MK Gumma, C Biradar, V Dheeravath, ...
Photogrammetric Engineering & Remote Sensing 75 (12), 1383-1395, 2009
|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
|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|
P Thenkabail, M Hanjra, V Dheeravath, M Gumma
Remote sensing 2 (1), 211-261, 2010
|Irrigated areas of India derived using MODIS 500 m time series for the years 2001–2003|
V Dheeravath, PS Thenkabail, G Chandrakantha, P Noojipady, ...
ISPRS Journal of Photogrammetry and Remote Sensing 65 (1), 42-59, 2010
|Water scarcity effects on equitable water distribution and land use in a major irrigation project—case study in India|
A Gaur, TW Biggs, MK Gumma, G Parthasaradhi, H Turral
Journal of irrigation and Drainage Engineering 134 (1), 26-35, 2008
|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
|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
|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, ZT Wu, ...
PE&RS, Photogrammetric Engineering & Remote Sensing 78 (8), 773-782, 2012
|Temporal changes in rice-growing area and their impact on livelihood over a decade: A case study of Nepal|
MK Gumma, D Gauchan, A Nelson, S Pandey, A Rala
Agriculture, Ecosystems & Environment 142 (3-4), 382-392, 2011
|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, P Thenkabail, J Tilton, M Gumma, P Teluguntla, A Oliphant, ...
Remote Sensing 9 (10), 1065, 2017
|Remote sensing of global croplands for food security|
P Thenkabail, JG Lyon, H Turral, C Biradar
CRC Press, 2009
|Closing of the Krishna basin: irrigation, streamflow depletion and macroscale hydrology|
T Biggs, A Gaur, C Scott, P Thenkabail, P Gangadhara Rao, MK Gumma, ...