Murali Krishna Gumma

Overview

Best Publications

• 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;Pardhasaradhi Teluguntla;Prasad S. Thenkabail;Adam Oliphant;Jun N. Xiong

  533
  Citations

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

  Prasad S. Thenkabail;Chandrashekhar M. Biradar;Praveen Noojipady;Venkateswarlu Dheeravath

  529
  Citations

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

  Jun N. Xiong;Prasad S. Thenkabail;Murali Krishna Gumma;Pardhasaradhi G. Teluguntla

  516
  Citations

• 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 N. Xiong;Prasad S. Thenkabail;James C. Tilton;Murali Krishna Gumma

  407
  Citations

• Mapping rice areas of South Asia using MODIS multitemporal data

  Murali Krishna Gumma;Andrew Nelson;Prasad S. Thenkabail;Amrendra N. Singh

  291
  Citations

• 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

  P. S. Thenkabail;I. Mariotto;M. K. Gumma;E. M. Middleton

  264
  Citations

• 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

  238
  Citations

• Mapping seasonal rice cropland extent and area in the high cropping intensity environment of Bangladesh using MODIS 500 m data for the year 2010

  Murali Krishna Gumma;Murali Krishna Gumma;Prasad S. Thenkabail;Aileen Maunahan;Saidul Islam;Saidul Islam

  233
  Citations

• 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;Pardhasaradhi Teluguntla;Jun Xiong;Jun Xiong

  212
  Citations

• Irrigated area mapping in heterogeneous landscapes with MODIS time series, ground truth and census data, Krishna Basin, India

  Trent W. Biggs;Prasad S. Thenkabail;Murali K. Gumma;Christopher A. Scott

  184
  Citations

• Mapping of groundwater potential zones across Ghana using remote sensing, geographic information systems, and spatial modeling.

  Murali Krishna Gumma;Paul Pavelic

  182
  Citations

• Mapping rice-fallow cropland areas for short-season grain legumes intensification in South Asia using MODIS 250 m time-series data

  Murali Krishna Gumma;Prasad S. Thenkabail;Pardhasaradhi G. Teluguntla;Mahesh N. Rao

  154
  Citations

• Hyperspectral Remote Sensing of Vegetation and Agricultural Crops

  P S Thenkabail;M K Gumma;P Teluguntla;I A Mohammed

  151
  Citations

• 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

  145
  Citations

• 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 G. Teluguntla;Adam Oliphant

  144
  Citations

• Assessing future risks to agricultural productivity, water resources and food security: How can remote sensing help?

  P. S. Thenkabail;J. W. Knox;M. Ozdogan;M. K. Gumma

  140
  Citations

• 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

  135
  Citations

• Irrigated areas of India derived using MODIS 500 m time series for the years 2001–2003

  Venkateswarlu Dheeravath;Prasad S. Thenkabail;G. Chandrakantha;P. Noojipady

  119
  Citations

• Influence of Resolution in Irrigated Area Mapping and Area Estimation

  N. M. Velpuri;Prasad S. Thenkabail;Murali K. Gumma;Chandrashekhar M. Biradar

  116
  Citations

• Temporal changes in rice-growing area and their impact on livelihood over a decade: A case study of Nepal

  Murali Krishna Gumma;Devendra Gauchan;Andrew Nelson;Sushil Pandey

  107
  Citations

• Assessing Future Risks to Agricultural Productivity, Water Resources and Food Security

  P.S. Thenkabail;J.w. Knox;M. Ozdogan;M.K. Gumma

  0
  Citations