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)

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)

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)

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)

Mapping Asian Cropping Intensity With MODIS. - Josh M. Gray; Mark A. Friedl; Steve Frolking; Navin Ramankutty; Andrew Nelson 003; Muralikrishna Gumma (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014)

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)

Priority regions for research on dryland cereals and legumes. - Glenn Hyman; Elizabeth Barona; Chandrashekhar M. Biradar; Edward Guevara; John Dixon; Steve Beebe; Silvia Elena Castano; Tunrayo Alabi; Murali Krishna Gumma; Shoba Sivasankar; Ovidio Rivera; Herlin Espinosa; et al. (F1000Research, 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)

Urban Sprawl and Adverse Impacts on Agricultural Land: A Case Study on Hyderabad, India. - Muralikrishna Gumma; Irshad A. Mohammed; Swamikannu Nedumaran; Anthony M. Whitbread; Carl Johan Lagerkvist (Remote. Sens., 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)

Surface Freshwater Limitation Explains Worst Rice Production Anomaly in India in 2002. - Matteo Zampieri; Gema Carmona Garcia; Frank Dentener; Murali K. Gumma; Peter Salamon; Lorenzo Seguini; Andrea Toreti (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)

Monitoring Changes in the Cultivation of Pigeonpea and Groundnut in Malawi Using Time Series Satellite Imagery for Sustainable Food Systems. - Murali Krishna Gumma; Takuji W. Tsusaka; Irshad A. Mohammed; Geoffrey Chavula; N. V. P. R. Ganga Rao; Patrick Okori; Christopher O. Ojiewo; Rajeev K. Varshney; Moses Siambi; Anthony M. Whitbread (Remote. Sens., 2019)

Characterizing and mapping cropping patterns in a complex agro-ecosystem: An iterative participatory mapping procedure using machine learning algorithms and MODIS vegetation indices. - Gudina Legese Feyisa; Leo Kris Palao; Andy Nelson 001; Murali Krishna Gumma; Ambica Paliwal; Khin Thawda Win; Khin Htar Nge; David E. Johnson 003 (Comput. Electron. Agric., 2020)

Identifying Suitable Watersheds across Nigeria Using Biophysical Parameters and Machine Learning Algorithms for Agri-Planning. - Pranay Panjala; Murali Krishna Gumma; Hakeem Ayinde Ajeigbe; Murtala Muhammad Badamasi; Kumara Charyulu Deevi; Ramadjita Tabo (ISPRS Int. J. Geo Inf., 2022)

A framework for disaggregating remote-sensing cropland into rainfed and irrigated classes at continental scale. - Afua Owusu; Stefanie Kagone; Mansoor Leh; Naga Manohar Velpuri; Murali Krishna Gumma; Benjamin Ghansah; Paranamana Thilina-Prabhath; Komlavi Akpoti; Kirubel Mekonnen; Primrose Tinonetsana; Ismail Mohammed (Int. J. Appl. Earth Obs. Geoinformation, 2024)

Spatial Distribution of Cropping Systems in South Asia Using Time-Series Satellite Data Enriched with Ground Data. - Murali Krishna Gumma; Pranay Panjala; Sunil K. Dubey; Deepak K. Ray; C. S. Murthy; Dakshina Murthy Kadiyala; Ismail Mohammed; Yamano Takashi (Remote. Sens., 2024)

Dryland cropping in different Land uses of Senegal using Sentinel-2 and hybrid ML method. - Murali Krishna Gumma; Pranay Panjala; Pardhasaradhi Teluguntla (Int. J. Digit. Earth, 2024)