Murali Krishna Gumma

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

Pardhasaradhi Teluguntla, Prasad S. Thenkabail, Adam Oliphant et al. · ISPRS Journal of Photogrammetry and Remote Sensing · 2018 · 521 citations · Full text

Precision Agriculture, Environmental Monitoring, Engineering +26

Automated cropland mapping of continental Africa using Google Earth Engine cloud computing

Jun Xiong, Prasad S. Thenkabail, Murali Krishna Gumma et al. · ISPRS Journal of Photogrammetry and Remote Sensing · 2017 · 482 citations · Full text

Global irrigated area map (GIAM), derived from remote sensing, for the end of the last millennium

Prasad S. Thenkabail, Çhandrashekhar Biradar, Praveen Noojipady et al. · International Journal of Remote Sensing · 2009 · 476 citations

Earth Observation, Precision Agriculture, Environmental Monitoring +27

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, Prasad S. Thenkabail, James C. Tilton et al. · Remote Sensing · 2017 · 391 citations · Full text

Precision Agriculture, Environmental Monitoring, Engineering +22

Mapping rice areas of South Asia using MODIS multitemporal data

Murali Krishna Gumma · Journal of Applied Remote Sensing · 2011 · 257 citations · Full text