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Gumma, M K and Thenkabail, P S and Maunahan, A and Islam, S and Nelson, A (2014) Mapping seasonal rice cropland extent and area in the high cropping intensity environment of Bangladesh using MODIS 500 m data for the year 2010. ISPRS Journal of Photogrammetry and Remote Sensing, 91. pp. 98-113. ISSN 0924-2716
Thenkabail, P S and Dheeravath, V and Biradar, C M and Gangalakunta, O R P and Noojipady, P and Gurappa, C and Velpuri, M and Gumma, M K and Li, Y (2009) Irrigated Area Maps and Statistics of India Using Remote Sensing and National Statistics. Remote Sensing , 1 (2). pp. 50-67. ISSN 2072-4292
Velpuri, N M and Thenkabail, P S and Gumma, M K and Biradar, C M and Dheeravath, V and Noojipady, P and Yuanjie, L (2009) Influence of Resolution in Irrigated Area Mapping and Area Estimation. Photogrammetric Engineering & Remote Sensing , 75 (12). pp. 1383-1395. ISSN 0099-1112
Xiong, J and Thenkabail, P S and Tilton, J and Gumma, M K and Teluguntla, P and Oliphant, A and Congalton, R and Yadav, K and Gorelick, N (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. Remote Sensing, 9(10) (1065). pp. 1-27. ISSN 2072-4292
Gumma, M K and Thenkabail, P S and Teluguntla, P and Rao, M N and Mohammed, I A and Whitbread, A M (2016) Mapping rice-fallow cropland areas for short-season grain legumes intensification in South Asia using MODIS 250 m time-series data. International Journal of Digital Earth, 09 (10). pp. 981-1003. ISSN 1753-8947
Gumma, M K and Thenkabail, P S and Panjala, P and Teluguntla, P and Yamano, T and Mohammed, I (2022) Multiple agricultural cropland products of South Asia developed using Landsat-8 30 m and MODIS 250 m data using machine learning on the Google Earth Engine (GEE) cloud and spectral matching techniques (SMTs) in support of food and water security. GIScience & Remote Sensing, 59 (1). pp. 1048-1077. ISSN 1943-7226