Murali Krishna Gumma

Author

International Crops Research Institute for the Semi-Arid Tropics ORCID

Also Known As

Daniel Foley, Gumma, Gumma M. K., Gumma, Murali, Gumma, Murali, Gumma, Murali K., Gumma, Murali Krishna, Krishna Gumma, Murali, Krishna Murali Gumma, M. K. GUMMA

169

Publications

6.4K

Citations

H-Index

123

Concepts

All Affiliations

International Crops Research Institute for the Semi-Arid Tropics United States Geological Survey Astrogeology Science Center International Rice Research Institute Bay Area Environmental Research Institute

About

Murali Krishna Gumma is an author at International Crops Research Institute for the Semi-Arid Tropics specializing in engineering, geography, and land use.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	29	44	4.1K
2	Social Sciences	20	23	2.8K
3	Public Health	17	20	1.2K
4	Medicine	2	2	74
5	Natural Sciences	2	2	74

Murali Krishna Gumma

Publications

Citations

H-Index

Page 1

	Year	Citations
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, ISPRS Journal of Photogrammetry and Remote Sensing Precision AgricultureEnvironmental MonitoringEngineeringHigh ResolutionLand Use	2018	521
Automated cropland mapping of continental Africa using Google Earth Engine cloud computing Jun Xiong, Prasad S. Thenkabail, Murali Krishna Gumma, ISPRS Journal of Photogrammetry and Remote Sensing	2017	482
Global irrigated area map (GIAM), derived from remote sensing, for the end of the last millennium Prasad S. Thenkabail, Çhandrashekhar Biradar, Praveen Noojipady, International Journal of Remote Sensing Earth ObservationPrecision AgricultureEnvironmental MonitoringEngineeringGeomorphology	2009	476
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, Remote Sensing Precision AgricultureEnvironmental MonitoringEngineeringLand UseAgricultural Economics	2017	391
Mapping rice areas of South Asia using MODIS multitemporal data Murali Krishna Gumma Journal of Applied Remote Sensing	2011	257
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 Krishna Gumma, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing	2013	216
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, International Journal of Applied Earth Observation and Geoinformation	2019	213
Mapping seasonal rice cropland extent and area in the high cropping intensity environment of Bangladesh using MODIS 500m data for the year 2010 Murali Krishna Gumma, Prasad S. Thenkabail, A. Maunahan, ISPRS Journal of Photogrammetry and Remote Sensing ClimatologyPrecision AgricultureEngineeringDroughtLand Use	2014	200
A global map of rainfed cropland areas (GMRCA) at the end of last millennium using remote sensing Çhandrashekhar Biradar, Prasad S. Thenkabail, Praveen Noojipady, International Journal of Applied Earth Observation and Geoinformation ClimatologyGeospatial MappingPrecision AgricultureEngineeringDrought	2009	189
Irrigated area mapping in heterogeneous landscapes with MODIS time series, ground truth and census data, Krishna Basin, India Trent Biggs, Prasad S. Thenkabail, Murali Krishna Gumma, International Journal of Remote Sensing Precision AgricultureEnvironmental MonitoringModis Time SeriesSouthern IndiaGeomorphology	2006	175

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