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GlobeLand30 shows little cropland area loss but greater fragmentation in China.

, , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2018)

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A Remote Sensing Approach to Estimating Cropland Sustainability in the Lateritic Red Soil Region of China., , , , , and . Remote. Sens., 16 (6): 1069 (March 2024)From meta-studies to modeling: Using synthesis knowledge to build broadly applicable process-based land change models., , , , , , , , , and 3 other author(s). Environ. Model. Softw., (2015)An Improved Subpixel Mapping Algorithm Based on a Combination of the Spatial Attraction and Pixel Swapping Models for Multispectral Remote Sensing Imagery., , , , , , and . IEEE Geosci. Remote. Sens. Lett., 15 (7): 1070-1074 (2018)Extending the Pairwise Separability Index for Multicrop Identification Using Time-Series MODIS Images., , , , , , , and . IEEE Trans. Geosci. Remote. Sens., 54 (11): 6349-6361 (2016)eFarm: A Tool for Better Observing Agricultural Land Systems., , , , , , and . Sensors, 17 (3): 453 (2017)Exploring the Use of Google Earth Imagery and Object-Based Methods in Land Use/Cover Mapping., , , , , , and . Remote Sensing, 5 (11): 6026-6042 (2013)GlobeLand30 shows little cropland area loss but greater fragmentation in China., , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2018)Mapping the Complex Crop Rotation Systems in Southern China Considering Cropping Intensity, Crop Diversity, and Their Seasonal Dynamics., , , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2022)An interactive and iterative method for crop mapping through crowdsourcing optimized field samples., , , , , , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (August 2023)