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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.
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 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 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.
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.
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 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.