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Time Series of Landsat Imagery Shows Vegetation Recovery in Two Fragile Karst Watersheds in Southwest China from 1988 to 2016.

, , , , , , , , , , , , , and . Remote. Sens., 11 (17): 2044 (2019)

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Development of S-NPP VIIRS global surface type classification map using support vector machines., , , , and . Int. J. Digit. Earth, 11 (2): 212-232 (2018)Time Series of Landsat Imagery Shows Vegetation Recovery in Two Fragile Karst Watersheds in Southwest China from 1988 to 2016., , , , , , , , , and 4 other author(s). Remote. Sens., 11 (17): 2044 (2019)Characterizing the Patterns and Trends of Urban Growth in Saudi Arabia's 13 Capital Cities Using a Landsat Time Series., , and . Remote. Sens., 14 (10): 2382 (2022)Early- and in-season crop type mapping without current-year ground truth: generating labels from historical information via a topology-based approach., , , , , and . CoRR, (2021)Improving global land cover characterization through data fusion., , and . Geo-spatial Information Science, 20 (2): 141-150 (2017)Integrating Activity-Based Geographic Information and Long-Term Remote Sensing to Characterize Urban Land Use Change., , and . Remote Sensing, 11 (24): 2965 (2019)Annual Detection of Forest Cover Loss Using Time Series Satellite Measurements of Percent Tree Cover., , , , and . Remote Sensing, 6 (9): 8878-8903 (2014)Assessment of the three factors affecting Myanmar's forest cover change using Landsat and MODIS vegetation continuous fields data., , , , , , , , , and 3 other author(s). Int. J. Digit. Earth, 9 (6): 562-585 (2016)The future of global land change monitoring.. Int. J. Digit. Earth, 16 (1): 2279-2300 (December 2023)A time-series model for characterizing continuous land cover change.. IGARSS, page 3426-3429. IEEE, (2016)