Murali K. Gumma

According to our database, Murali K. Gumma authored at least 17 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A framework for disaggregating remote-sensing cropland into rainfed and irrigated classes at continental scale.

Afua Owusu, Stefanie Kagone, Mansoor Leh, Naga Manohar Velpuri, Murali Krishna Gumma, Benjamin Ghansah, Paranamana Thilina-Prabhath, Komlavi Akpoti, Kirubel Mekonnen, Primrose Tinonetsana, Ismail Mohammed

Int. J. Appl. Earth Obs. Geoinformation, February, 2024

2022

Identifying Suitable Watersheds across Nigeria Using Biophysical Parameters and Machine Learning Algorithms for Agri-Planning.

Pranay Panjala, Murali Krishna Gumma, Hakeem Ayinde Ajeigbe, Murtala Muhammad Badamasi, Kumara Charyulu Deevi, Ramadjita Tabo

ISPRS Int. J. Geo Inf., 2022

2020

Characterizing and mapping cropping patterns in a complex agro-ecosystem: An iterative participatory mapping procedure using machine learning algorithms and MODIS vegetation indices.

Gudina Legese Feyisa, Leo Kris Palao, Andy Nelson, Murali Krishna Gumma, Ambica Paliwal, Khin Thawda Win, Khin Htar Nge, David E. Johnson

Comput. Electron. Agric., 2020

2019

Monitoring Changes in the Cultivation of Pigeonpea and Groundnut in Malawi Using Time Series Satellite Imagery for Sustainable Food Systems.

Murali Krishna Gumma, Takuji W. Tsusaka, Irshad A. Mohammed, Geoffrey Chavula, N. V. P. R. Ganga Rao, Patrick Okori, Christopher O. Ojiewo, Rajeev K. Varshney, Moses Siambi, Anthony M. Whitbread

Remote. Sens., 2019

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, Jun Xiong, Murali Krishna Gumma, Russell G. Congalton, Kamini Yadav

Int. J. Appl. Earth Obs. Geoinformation, 2019

2018

Surface Freshwater Limitation Explains Worst Rice Production Anomaly in India in 2002.

Matteo Zampieri, Gema Carmona Garcia, Frank Dentener, Murali K. Gumma, Peter Salamon, Lorenzo Seguini, Andrea Toreti

Remote. Sens., 2018

2017

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, Murali K. Gumma, Pardhasaradhi Teluguntla, Adam J. Oliphant, Russell G. Congalton, Kamini Yadav, Noel Gorelick

Remote. Sens., 2017

Urban Sprawl and Adverse Impacts on Agricultural Land: A Case Study on Hyderabad, India.

Muralikrishna Gumma, Irshad A. Mohammed, Swamikannu Nedumaran, Anthony M. Whitbread, Carl Johan Lagerkvist

Remote. Sens., 2017

Spectral matching techniques (SMTs) and automated cropland classification algorithms (ACCAs) for mapping croplands of Australia using MODIS 250-m time-series (2000-2015) data.

Pardhasaradhi Teluguntla, Prasad S. Thenkabail, Jun Xiong, Muralikrishna Gumma, Russell G. Congalton, Adam J. Oliphant, Justin Poehnelt, Kamini Yadav, Mahesh N. Rao, Richard Massey

Int. J. Digit. Earth, 2017

2016

Priority regions for research on dryland cereals and legumes.

Glenn Hyman, Elizabeth Barona, Chandrashekhar M. Biradar, Edward Guevara, John Dixon, Steve Beebe, Silvia Elena Castano, Tunrayo Alabi, Murali Krishna Gumma, Shoba Sivasankar, Ovidio Rivera, Herlin Espinosa, Jorge Cardona

F1000Research, 2016

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

Murali K. Gumma, Prasad S. Thenkabail, Pardharsadhi Teluguntla, Mahesh N. Rao, Irshad A. Mohammed, Anthony M. Whitbread

Int. J. Digit. Earth, 2016

2014

Mapping Asian Cropping Intensity With MODIS.

Josh M. Gray, Mark A. Friedl, Steve Frolking, Navin Ramankutty, Andrew Nelson, Muralikrishna Gumma

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014

2013

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 K. Gumma, Elizabeth M. Middleton, David R. Landis, Karl Fred Huemmrich

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2013

2011

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, Venkateswarlu Dheeravath, Dawuni Busia, Arnel B. Rala

Remote. Sens., 2011

2010

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

Remote. Sens., 2010

2009

Irrigated Area Maps and Statistics of India Using Remote Sensing and National Statistics.

Prasad S. Thenkabail, Venkateswarlu Dheeravath, Chandrashekhar M. Biradar, Obi Reddy P. Gangalakunta, Praveen Noojipady, Chandrakantha Gurappa, Naga Manohar Velpuri, Muralikrishna Gumma, Yuanjie Li

Remote. Sens., 2009

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, Venkateswarlu Dheeravath, Hugh Turral, Naga Manohar Velpuri, Murali K. Gumma, Obi Reddy P. Gangalakunta, Xueliang L. Cai, Xiangming Xiao, Mitchell Schull, Ranjith D. Alankara, Sarath Gunasinghe, Sadir Mohideen

Int. J. Appl. Earth Obs. Geoinformation, 2009