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Nune, R and George, B A and Teluguntla, P and Western, A W (2014) Relating Trends in Streamflow to Anthropogenic Influences: A Case Study of Himayat Sagar Catchment, India. Water Resources Management, 28 (06). pp. 1579-1595. ISSN 1573-1650
Thenkabail, P S and Gumma, M K and Teluguntla, P and Mohammed, I A (2014) Hyperspectral Remote Sensing of Vegetation and Agricultural Crops. Photogrammetric Engineering & Remote Sensing (PE&RS), 80 (8). pp. 697-723.
Thenkabail, P S and Gumma, M K and Teluguntla, P and Irshad, A M (2014) Hyperspectral remote sensing of vegetation and agricultural crops. Photogrammetric Engineering & Remote Sensing (TSI), 80 (8). pp. 695-723. ISSN 0099-1112
Teluguntla, P and Thenkabail, P S and Xiong, J and Gumma, M K and Giri, C and Milesi, C and Ozdogan, M and Congalton, R and Tilton, J and Sankey, T T and Massey, R and Phalke, A and Yadav, K (2015) Global Cropland Area Database (GCAD) derived from Remote Sensing in Support of Food Security in the Twenty-first Century: Current Achievements and Future Possibilities. In: Land Resources Monitoring, Modeling, and Mapping with Remote Sensing (Remote Sensing Handbook). Taylor & Francis, Boca Raton, Florida, 01-45.
Teluguntla, P and Thenkabail, P S and Xiong, J and Gumma, M K and Giri, C and Milesi, C and Ozdogan, M and Congalton, R G and Tilton, J (2015) Global Food Security Support Analysis Data (GFSAD) at Nominal 1 km (GCAD) Derived from Remote Sensing in Support of Food Security in the Twenty-First Century: Current Achievements and Future Possibilities. In: Land Resources Monitoring, Modeling, and Mapping with Remote Sensing. CRC Press, pp. 131-160. ISBN 9781482217957
Gumma, M K and Thenkabail, P S and Mohammed, I A and Teluguntla, P and Dheeravath, V (2015) Inland Valley Wetland Cultivation and Preservation for Africa’s Green and Blue Revolution Using Multi-Sensor Remote Sensing. In: Land Resources Monitoring, Modeling, and Mapping with Remote Sensing. CRC Press, pp. 227-256. ISBN 9781482217957
Thenkabail, P S and Teluguntla, P and Gumma, M K and Dheeravath, V (2015) Hyperspectral Remote Sensing for Terrestrial Applications. In: Land Resources Monitoring, Modeling, and Mapping with Remote Sensing. CRC Press, pp. 201-233. ISBN 9781482217957
Gumma, M K and Thenkabail, P S and Teluguntla, P and Ahmed, I and Ahmed, Ismail and Uppala, D and Whitbread, A M (2016) Monitoring of Spatio-temporal Dynamics of Rabi Rice Fallows in South-Asia using Remote Sensing. In: Geospatial Technologies in Land Resource Mapping, Monitoring and Management, August 05-25, 2016, NBSS & LUP, Nagpur, India. (Submitted)
Teluguntla, P and Thenkabail, P S and Xiong, J and Gumma, M K and Giri, C and Milesi, C and Ozdogan, M and Congalton, R and Tilton, J and Sankey, T and Massey, R and Phalke, A and Yadav, K (2016) NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Global Food Security Support Analysis Data (GFSAD) Crop Mask 2010 Global 1 km V001. Monograph. NASA EOSDIS Land Processes DAAC, South Dakota, USA.
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
Teluguntla, P and Thenkabail, P S and Xiong, J and Oliphant, A and Gumma, M K and Congalton, R and Yadav, K and Massey, R and Phalke, A and Tilton, J and Smith, C (2017) Mapping cropland extent and areas of Australia at 30-m resolution using multi-year time-series Landsat data and Random Forest machine learning algorithm through Google Earth Engine (GEE) Cloud Computing. In: 20th William T. Pecora Memorial Remote Sensing Symposium. Pecora 20 – “Observing a Changing Earth: Science for Decisions…Monitoring, Assessment, and Projection”, November 14-16, 2017, Sioux Falls, South Dakota, USA.
Teluguntla, P and Thenkabail, P S and Xiong, J and Gumma, M K and Congalton, R G and Oliphant, A and Poehnelt, J and Yadav, K and Rao, M and Massey, R (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. International Journal of Digital Earth. pp. 1-34. ISSN 1753-8947
Xiong, J and Thenkabail, P S and Gumma, M K and Teluguntla, P and Poehnelt, J and Congalton, R G and Yadav, K and Thau, D (2017) Automated cropland mapping of continental Africa using Google Earth Engine cloud computing. ISPRS Journal of Photogrammetry and Remote Sensing, 126. pp. 225-244. ISSN 0924-2716
Xiong, J and Thenkabail, P S and Tilton, J C and Gumma, M K and Teluguntla, P and Congalton, R G and Yadav, K and Dungan, J and Oliphant, A J and Poehnelt, J and Smith, C and Massey, R (2017) NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Global Food Security-support Analysis Data (GFSAD) Cropland Extent 2015 Africa 30 m V001. Monograph. NASA EOSDIS Land Processes DAAC, South Dakota, USA.
Congalton, R G and Yadav, K and McDonnell, K and Poehnelt, J and Stevens, B and Gumma, M K and Teluguntla, P and Thenkabail, P S (2017) Global Food Security-support Analysis Data (GFSAD) Cropland Extent 2015 Validation 30 m V001. Monograph. NASA EOSDIS Land Processes DAAC, South Dakota, USA.
Teluguntla, P and Thenkabail, P S and Xiong, J and Gumma, M K and Congalton, R G and Oliphant, J A and Sankey, T and Poehnelt, J and Yadav, K and Massey, R and Phalke, A and Smith, C (2017) NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Global Food Security-support Analysis Data (GFSAD) Cropland Extent 2015 Australia, New Zealand, China, Mongolia 30 m V001. Monograph. NASA EOSDIS Land Processes DAAC, South Dakota, USA.
Gumma, M K and Thenkabail, P S and Teluguntla, P and Oliphant, A and Xiong, J and Congalton, R G and Yadav, K and Smith, C (2017) NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Global Food Security-support Analysis Data (GFSAD) Cropland Extent 2015 South Asia, Afghanistan, Iran 30 m V001. Monograph. NASA EOSDIS Land Processes DAAC, South Dakota, USA.
Oliphant, A J and Thenkabail, P S and Teluguntla, P and Xiong, J and Congalton, R G and Yadav, K and Massey, R and Gumma, M K and Smith, C (2017) NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Global Food Security-support Analysis Data (GFSAD) Cropland Extent 2015 Southeast Asia 30 m V001. Monograph. NASA EOSDIS Land Processes DAAC, South Dakota, USA.
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
Xiong, J and Thenkabail, P S and Teluguntla, P and Oliphant, A and Congalton, R and Gumma, M K and Yadav, K and Massey, R and Tilton, J and Smith, C (2017) An Automated Crop Intensity Algorithm (ACIA) for global cropland intensity mapping at 30-m using multi-source time-series data and Google Earth Engine. In: 20th William T. Pecora Memorial Remote Sensing Symposium. Pecora 20 – “Observing a Changing Earth: Science for Decisions…Monitoring, Assessment, and Projection”, November 13-16, 2017, Sioux Falls, South Dakota, USA.
Xiong, J and Thenkabail, P S and Congalton, R and Yadav, K and Teluguntla, P and Oliphant, A and Gumma, M K and Massey, R and Smith, C (2017) CropRef: Reference Datasets and techniques to improve global cropland mapping. In: 20th William T. Pecora Memorial Remote Sensing Symposium. Pecora 20 – “Observing a Changing Earth: Science for Decisions…Monitoring, Assessment, and Projection”., November 13-16, 2017, Sioux Falls, South Dakota, USA.
Oliphant, A and Thenkabail, P S and Teluguntla, P and Congalton, R and Yadav, K and Gumma, M K and Xiong, J and Massey, R and Smith, C (2017) Mapping Croplands of Southeast Asia, Japan, and North and South Korea using Landsat 30-m time-series, random forest algorithm. In: 20th William T. Pecora Memorial Remote Sensing Symposium. Pecora 20 – “Observing a Changing Earth: Science for Decisions…Monitoring, Assessment, and Projection”., November 13-16, 2017, Sioux Falls, South Dakota, USA.
Gumma, M K and Thenkabail, P S and Teluguntla, P and Whitbread, A M (2018) Monitoring of Spatiotemporal Dynamics of Rabi Rice Fallows in South Asia Using Remote Sensing. In: Geospatial Technologies in Land Resources Mapping, Monitoring and Management. Geotechnologies and the Environment . Springer, pp. 425-448. ISBN 978-3-319-78710-7
Gumma, M K and Thenkabail, P S and Kumara Charyulu, D and Mohammed, I A and Teluguntla, P and Oliphant, A and Xiong, J and Aye, T and Whitbread, A M (2018) Mapping cropland fallow areas in Myanmar to scale up sustainable intensification of pulse crops in the farming system. GIScience & Remote Sensing (TSI), 55 (6). pp. 926-949. ISSN 1548-1603
Teluguntla, P and Thenkabail, P S and Oliphant, A and Xiong, J and Gumma, M K and Congalton, R G and Yadav, K and Huete, A (2018) 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. ISPRS Journal of Photogrammetry and Remote Sensing (TSI), 144. pp. 325-340. ISSN 09242716
Gumma, M K and Thenkabail, P S and Teluguntla, P and Whitbread, A M (2019) Indo-Ganges River Basin Land Use/Land Cover (LULC) and Irrigated Area Mapping. In: Indus River Basin: Water Security and Sustainability. Elsevier Inc, pp. 203-228. ISBN 978-0-12-812782-7
Oliphant, A J and Thenkabail, P S and Teluguntla, P and Xiong, J and Gumma, M K and Congalton, R G and Yadav, K (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. International Journal of Applied Earth Observation and Geoinformation (TSI), 81. pp. 110-124. ISSN 03032434
Panjala, P and Gumma, M K and Teluguntla, P (2021) Machine Learning Approaches and Sentinel-2 Data in Crop Type Mapping. In: Data Science in Agriculture and Natural Resource Management. Studies in Big Data, 96 . Springer, Singapore, pp. 161-180. ISBN 2197-6503
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
Gumma, M K and Panjala, P and Teluguntla, P (2024) Dryland cropping in different Land uses of Senegal using Sentinel-2 and hybrid ML method. International Journal of Digital Earth, 17 (1). pp. 1-18. ISSN 1753-8947