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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
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
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 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
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
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.
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 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.
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.
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.
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.