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Spectral matching techniques (SMTs) and automated cropland classification algorithms (ACCAs) for mapping croplands of Australia using MODIS 250-m time-series (2000-2015) data.

P. Teluguntla, P. Thenkabail, J. Xiong, M. Gumma, R. Congalton, A. Oliphant, J. Poehnelt, K. Yadav, M. Rao, and R. Massey. Int. J. Digit. Earth, 10 (9): 944-977 (2017)

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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.A. Oliphant, P. Thenkabail, P. Teluguntla, J. Xiong, M. Gumma, R. Congalton, and K. Yadav. Int. J. Appl. Earth Obs. Geoinformation, (2019)A meta-analysis of global crop water productivity of three leading world crops (wheat, corn, and rice) in the irrigated areas over three decades.D. Foley, P. Thenkabail, I. Aneece, P. Teluguntla, and A. Oliphant. Int. J. Digit. Earth, 13 (8): 939-975 (2020)Spectral matching techniques (SMTs) and automated cropland classification algorithms (ACCAs) for mapping croplands of Australia using MODIS 250-m time-series (2000-2015) data.P. Teluguntla, P. Thenkabail, J. Xiong, M. Gumma, R. Congalton, A. Oliphant, J. Poehnelt, K. Yadav, M. Rao, and R. Massey. Int. J. Digit. Earth, 10 (9): 944-977 (2017)Mapping Flooded Rice Paddies Using Time Series of MODIS Imagery in the Krishna River Basin, India.P. Teluguntla, D. Ryu, B. George, J. Walker, and H. Malano. Remote Sensing, 7 (7): 8858-8882 (2015)Crop Water Productivity from Cloud-Based Landsat Helps Assess California's Water Savings.D. Foley, P. Thenkabail, A. Oliphant, I. Aneece, and P. Teluguntla. Remote. Sens., 15 (19): 4894 (October 2023)New Generation Hyperspectral Data From DESIS Compared to High Spatial Resolution PlanetScope Data for Crop Type Classification.I. Aneece, D. Foley, P. Thenkabail, A. Oliphant, and P. Teluguntla. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2022)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.J. Xiong, P. Thenkabail, J. Tilton, M. Gumma, P. Teluguntla, A. Oliphant, R. Congalton, K. Yadav, and N. Gorelick. Remote. Sens., 9 (10): 1065 (2017)New Generation and Old Generation Hyperspectral Remote Sensing Data and their Comparisons with Multispectral Data in the Study of Global Agriculture and Vegetation.P. Thenkabail, I. Aneece, P. Teluguntla, A. Oliphant, and D. Foley. IGARSS, page 5744-5745. IEEE, (2022)

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