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Murali Krishna Gumma
Murali Krishna Gumma
Principal Scientist &Cluster Leader – Geospatial Sciences and Big Data at ICRISAT (IRRI, IWMI, JNTU)
Verified email at cgiar.org - Homepage
Title
Cited by
Cited by
Year
Hyperspectral remote sensing of vegetation and agricultural crops
PS Thenkabail, MK Gumma, P Teluguntla, AM Irshad
Photogrammetric Engineering & Remote Sensing (TSI) 80 (8), 695-723, 2014
854*2014
Automated cropland mapping of continental Africa using Google Earth Engine cloud computing
J Xiong, PS Thenkabail, MK Gumma, P Teluguntla, J Poehnelt, ...
ISPRS Journal of Photogrammetry and Remote Sensing 126, 225-244, 2017
5102017
Global irrigated area map (GIAM), derived from remote sensing, for the end of the last millennium
PS Thenkabail, CM Biradar, P Noojipady, V Dheeravath, Y Li, M Velpuri, ...
International Journal of Remote Sensing 30 (14), 3679-3733, 2009
4682009
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
P Teluguntla, P Thenkabail, A Oliphant, J Xiong, MK Gumma, ...
ISPRS Journal of Photogrammetry and Remote Sensing 144, 325-340, 2018
4382018
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
J Xiong, PS Thenkabail, JC Tilton, MK Gumma, P Teluguntla, A Oliphant, ...
Remote Sensing 9 (10), 1065, 2017
3932017
Mapping rice areas of South Asia using MODIS multitemporal data
MK Gumma, A Nelson, PS Thenkabail, AN Singh
Journal of Applied Remote Sensing 5 (1), 053547-053547-26, 2011
2822011
Selection of hyperspectral narrowbands (HNBs) and composition of hyperspectral twoband vegetation indices (HVIs) for biophysical characterization and discrimination of crop …
PS Thenkabail, I Mariotto, MK Gumma, EM Middleton, DR Landis, ...
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2013
2562013
A global map of rainfed cropland areas (GMRCA) at the end of last millennium using remote sensing
CM Biradar, PS Thenkabail, P Noojipady, Y Li, V Dheeravath, H Turral, ...
International journal of applied earth observation and geoinformation 11 (2 …, 2009
2432009
Mapping seasonal rice cropland extent and area in the high cropping intensity environment of Bangladesh using MODIS 500m data for the year 2010
MK Gumma, PS Thenkabail, A Maunahan, S Islam, A Nelson
ISPRS Journal of Photogrammetry and Remote Sensing 91 (5), 98-113, 2014
2122014
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
AJ Oliphant, PS Thenkabail, P Teluguntla, J Xiong, MK Gumma, ...
International Journal of Applied Earth Observation and Geoinformation 81 …, 2019
1942019
Spectral matching techniques to determine historical land-use/land-cover (LULC) and irrigated areas using time-series 0.1-degree AVHRR Pathfinder datasets
P Thenkabail, P GangadharaRao, T Biggs, MK Gumma, H Turral
Photogrammetric Engineering & Remote Sensing 73 (10), 1029-1040, 2007
1922007
Irrigated area mapping in heterogeneous landscapes with MODIS time series, ground truth and census data, Krishna Basin, India
TW Biggs, PS Thenkabail, MK Gumma, CA Scott, GR Parthasaradhi, ...
International Journal of Remote Sensing 27 (19), 4245-4266, 2006
1672006
Tactile sensor based on piezoelectric resonance
GM Krishna, K Rajanna
IEEE sensors journal 4 (5), 691-697, 2004
1672004
Mapping rice-fallow cropland areas for short-season grain legumes intensification in South Asia using MODIS 250 m time-series data
MK Gumma, PS Thenkabail, P Teluguntla, MN Rao, IA Mohammed, ...
International Journal of Digital Earth 9 (10), 981-1003, 2016
1662016
Mapping of groundwater potential zones across Ghana using remote sensing, geographic information systems, and spatial modeling
MK Gumma, P Pavelic
Environmental monitoring and assessment 185 (4), 3561-3579, 2013
1662013
Assessing future risks to agricultural productivity, water resources and food security: How can remote sensing help?
PS Thenkabail, JW Knox, M Ozdogan, MK Gumma, RG Congalton, Z Wu, ...
Photogrammetric Engineering & Remote Sensing 78 (8), 2012
1472012
Mapping irrigated areas of Ghana using fusion of 30 m and 250 m resolution remote-sensing data
MK Gumma, PS Thenkabail, F Hideto, A Nelson, V Dheeravath, D Busia, ...
Remote Sensing 3 (4), 816-835, 2011
1442011
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 …
MK Gumma, PS Thenkabail, PG Teluguntla, A Oliphant, J Xiong, C Giri, ...
GIScience & Remote Sensing 57 (3), 302-322, 2020
1432020
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
PS Thenkabail, MA Hanjra, V Dheeravath, M Gumma
Remote sensing 2 (1), 211-261, 2010
1282010
An Irrigated Area Map of the World (1999), Derived from Remote Sensing
PS Thenkabail, CM Biradar, P Noojipady, V Dheeravath, Y Li, M Velpuri, ...
IWMI, 2006
1212006
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