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Number of items: 4.

C

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.

T

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

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

X

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

This list was generated on Thu Mar 28 23:45:34 2024 UTC.