Pardhasaradhi Teluguntla

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

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 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 Oliphant, Prasad S. Thenkabail, Pardhasaradhi Teluguntla et al. · International Journal of Applied Earth Observation and Geoinformation · 2019 · 213 citations · Full text

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 Earth Engine cloud

Murali Krishna Gumma, Prasad S. Thenkabail, Pardhasaradhi Teluguntla et al. · GIScience & Remote Sensing · 2019 · 151 citations · Full text

Earth Observation, Precision Agriculture, Engineering +26