A global map of rainfed cropland areas (GMRCA) at the end of last millennium using remote sensing. - Chandrashekhar M. Biradar; Prasad S. Thenkabail; Praveen Noojipady; Yuanjie Li; Venkateswarlu Dheeravath; Hugh Turral; Naga Manohar Velpuri; Murali K. Gumma; Obi Reddy P. Gangalakunta; Xueliang L. Cai; Xiangming Xiao; Mitchell Schull; et al. (Int. J. Appl. Earth Obs. Geoinformation, 2009)

Irrigated Area Maps and Statistics of India Using Remote Sensing and National Statistics. - Prasad S. Thenkabail; Venkateswarlu Dheeravath; Chandrashekhar M. Biradar; Obi Reddy P. Gangalakunta; Praveen Noojipady; Chandrakantha Gurappa; Naga Manohar Velpuri; Muralikrishna Gumma; Yuanjie Li (Remote. Sens., 2009)

Decadal Variations in NDVI and Food Production in India. - Cristina Milesi; Arindam Samanta; Hirofumi Hashimoto; K. Krishna Kumar; Sangram Ganguly; Prasad S. Thenkabail; Ashok N. Srivastava; Ramakrishna R. Nemani; Ranga B. Myneni (Remote. Sens., 2010)

Global Croplands and their Importance for Water and Food Security in the Twenty-first Century: Towards an Ever Green Revolution that Combines a Second Green Revolution with a Blue Revolution. - Prasad S. Thenkabail (Remote. Sens., 2010)

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. - Prasad S. Thenkabail; Munir A. Hanjra; Venkateswarlu Dheeravath; Muralikrishna Gumma (Remote. Sens., 2010)

Earth Observing Data and Methods for Advancing Water Harvesting Technologies in the Semi-arid Rain-Fed Environments of India. - Chilka Sharma; Prasad S. Thenkabail; J. R. Sharma (GHTC, 2011)

Improving Water Productivity for Agriculture - Predicting and Preventing Crisis in Irrigated Water Use in a Changing Climate. - Prasad S. Thenkabail (GHTC, 2011)

Mapping Irrigated Areas of Ghana Using Fusion of 30 m and 250 m Resolution Remote-Sensing Data. - Muralikrishna Gumma; Prasad S. Thenkabail; Fujii Hideto; Andrew Nelson 003; Venkateswarlu Dheeravath; Dawuni Busia; Arnel B. Rala (Remote. Sens., 2011)

Remote Sensing Open Access Journal: Leading a New Paradigm in Publishing. - Prasad S. Thenkabail (Remote. Sens., 2011)

An Automated Cropland Classification Algorithm (ACCA) for Tajikistan by Combining Landsat, MODIS, and Secondary Data. - Prasad S. Thenkabail; Zhuoting Wu (Remote. Sens., 2012)

Remote Sensing Best Paper Award 2013. - Prasad S. Thenkabail (Remote. Sens., 2013)

Selection of Hyperspectral Narrowbands (HNBs) and Composition of Hyperspectral Twoband Vegetation Indices (HVIs) for Biophysical Characterization and Discrimination of Crop Types Using Field Reflectance and Hyperion/EO-1 Data. - Prasad S. Thenkabail; Isabella Mariotto; Murali K. Gumma; Elizabeth M. Middleton; David R. Landis; Karl Fred Huemmrich (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2013)

Global Land Cover Mapping: A Review and Uncertainty Analysis. - Russell G. Congalton; Jianyu Gu; Kamini Yadav; Prasad S. Thenkabail; Mutlu Ozdogan (Remote. Sens., 2014)

Remote Sensing Best Paper Award for the Year 2014. - Prasad S. Thenkabail (Remote. Sens., 2014)

Remote Sensing Open Access Journal: Increasing Impact through Quality Publications. - Prasad S. Thenkabail (Remote. Sens., 2014)

A support vector machine to identify irrigated crop types using time-series Landsat NDVI data. - Baojuan Zheng; Soe W. Myint; Prasad S. Thenkabail; Rimjhim M. Aggarwal (Int. J. Appl. Earth Obs. Geoinformation, 2015)

Developing in situ Non-Destructive Estimates of Crop Biomass to Address Issues of Scale in Remote Sensing. - Michael T. Marshall; Prasad S. Thenkabail (Remote. Sens., 2015)

Remote Sensing Best Paper Award for the Year 2015. - Prasad S. Thenkabail (Remote. Sens., 2015)

A Unified Cropland Layer at 250 m for Global Agriculture Monitoring. - François Waldner; Steffen Fritz; Antonio Di Gregorio; Dmitry Plotnikov; Sergey A. Bartalev; Nataliia Kussul; Peng Gong 002; Prasad S. Thenkabail; Gerard W. Hazeu; Igor Klein; Fabian Löw; Jukka Miettinen; et al. (Data, 2016)

Mapping rice-fallow cropland areas for short-season grain legumes intensification in South Asia using MODIS 250 m time-series data. - Murali K. Gumma; Prasad S. Thenkabail; Pardharsadhi Teluguntla; Mahesh N. Rao; Irshad A. Mohammed; Anthony M. Whitbread (Int. J. Digit. Earth, 2016)

Spectral matching techniques (SMTs) and automated cropland classification algorithms (ACCAs) for mapping croplands of Australia using MODIS 250-m time-series (2000-2015) data. - Pardhasaradhi Teluguntla; Prasad S. Thenkabail; Jun Xiong 004; Muralikrishna Gumma; Russell G. Congalton; Adam J. Oliphant; Justin Poehnelt; Kamini Yadav; Mahesh N. Rao; Richard Massey (Int. J. Digit. Earth, 2017)

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. - Jun Xiong 004; Prasad S. Thenkabail; James C. Tilton; Murali K. Gumma; Pardhasaradhi Teluguntla; Adam J. Oliphant; Russell G. Congalton; Kamini Yadav; Noel Gorelick (Remote. Sens., 2017)

Accuracies Achieved in Classifying Five Leading World Crop Types and their Growth Stages Using Optimal Earth Observing-1 Hyperion Hyperspectral Narrowbands on Google Earth Engine. - Itiya P. Aneece; Prasad S. Thenkabail (Remote. Sens., 2018)

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. - Adam J. Oliphant; Prasad S. Thenkabail; Pardhasaradhi Teluguntla; Jun Xiong 004; Murali Krishna Gumma; Russell G. Congalton; Kamini Yadav (Int. J. Appl. Earth Obs. Geoinformation, 2019)

Remote Sensing 10th Anniversary Best Paper Award. - Prasad S. Thenkabail (Remote. Sens., 2019)

A Bibliometric Profile of the Remote Sensing Open Access Journal Published by MDPI between 2009 and 2018. - YuYing Zhang; Prasad S. Thenkabail; Peng Wang 040 (Remote. Sens., 2019)

A meta-analysis of global crop water productivity of three leading world crops (wheat, corn, and rice) in the irrigated areas over three decades. - Daniel J. Foley; Prasad S. Thenkabail; Itiya P. Aneece; Pardhasaradhi Teluguntla; Adam J. Oliphant (Int. J. Digit. Earth, 2020)

Remote Sensing Open Access Journal of MDPI: Current Progress and Future Vision. - Prasad S. Thenkabail (Remote. Sens., 2020)

DESIS and PRISMA: A study of a new generation of spaceborne hyperspectral sensors in the study of world crops. - Itiya P. Aneece; Prasad S. Thenkabail (IGARSS, 2021)

Classifying Crop Types Using Two Generations of Hyperspectral Sensors (Hyperion and DESIS) with Machine Learning on the Cloud. - Itiya P. Aneece; Prasad S. Thenkabail (Remote. Sens., 2021)

New Generation and Old Generation Hyperspectral Remote Sensing Data and their Comparisons with Multispectral Data in the Study of Global Agriculture and Vegetation. - Prasad S. Thenkabail; Itiya P. Aneece; Pardhasaradhi Teluguntla; Adam J. Oliphant; Daniel J. Foley (IGARSS, 2022)

New Generation Hyperspectral Data From DESIS Compared to High Spatial Resolution PlanetScope Data for Crop Type Classification. - Itiya P. Aneece; Daniel J. Foley; Prasad S. Thenkabail; Adam J. Oliphant; Pardhasaradhi Teluguntla (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

Mapping Vegetation Index-Derived Actual Evapotranspiration across Croplands Using the Google Earth Engine Platform. - Neda Abbasi; Hamideh Nouri; Kamel Didan; Armando Barreto-Muñoz; Sattar Chavoshi Borujeni; Christian Opp; Pamela L. Nagler; Prasad S. Thenkabail; Stefan Siebert 001 (Remote. Sens., 2023)

Crop Water Productivity from Cloud-Based Landsat Helps Assess California's Water Savings. - Daniel J. Foley; Prasad S. Thenkabail; Adam J. Oliphant; Itiya P. Aneece; Pardhasaradhi Teluguntla (Remote. Sens., 2023)

Automated Cropland Fallow Algorithm (ACFA) for the Northern Great Plains of USA. - Adam J. Oliphant; Prasad S. Thenkabail; Pardhasaradhi Teluguntla; Itiya P. Aneece; Daniel J. Foley; Richard L. McCormick (Int. J. Digit. Earth, 2024)

Field-scale irrigated winter wheat mapping using a novel cross-region slope length index in 3D canopy hydrothermal and spectral feature space. - Youming Zhang; Guijun Yang; Prasad S. Thenkabail; Zhenhong Li 001; Wenbin Wu; Xiaodong Yang; Xiaoyu Song; Huiling Long; Miao Liu; Jing Zhang; Lijun Zuo; Yang Meng 001; et al. (Int. J. Appl. Earth Obs. Geoinformation, 2025)