2026-10-15T01:21:28Z https://www.scidb.cn/oai

10.57760/sciencedb.j00001.01185 2025-07-27T06:24:12Z

2025-07-27 30-meter Resolution Cropland Distribution Dataset of the YarlungZangbo-Lhasa-Nyangqv River Region, Tibet Autonomous Region, 1990-2023 doi:10.57760/sciencedb.j00001.01185 en The spatial distribution dataset of cropland in the Yarlung-Zangbo-Lhasa-Nyangqv River region from 1990 to 2023 was extracted based on Landsat 5 Level 2, Collection 2, Tier 1 and Landsat 8 Level 2, Collection 2, Tier 1 data. High-resolution images were used for the cropland sample labeling in 2023, and for generating validation point sets in 2015 and 2020. The ResUnet model was applied to extract cropland information from Landsat data. The model underwent fine-tuning to adapt to the characteristics of Landsat 5 data, ensuring consistency in accuracy across different sensors and years. Eight year’s products were finally obtained, corresponding to the distribution of cropland in the region in 1990, 1995, 2000, 2005, 2010, 2015, 2020 and 2023. YarlungZangbo-Lhasa-Nyangqv River Region; Long time series; cropland distribution; Landsat data Chen Huiling He Guojin Peng Xueli Wang Guizhou Yin Ranyu PUBLIC https://creativecommons.org/licenses/by-nc/4.0/ dataset http://www.doi.org/10.11922/11-6035.csd.2024.0088.zh Science Data Bank