fused map.zip
收藏DataCite Commons2025-08-19 更新2025-09-08 收录
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https://figshare.com/articles/dataset/fused_map_zip/29939480/1
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资源简介：
To improve the spatial and temporal reliability of LC patterns in ecologically heterogeneous regions, we adopted a multi-source data fusion approach based on the RF classification algorithm implemented on the GEE platform. RF is widely recognized for its robustness and ability to handle noisy or imbalanced training data,making it well-suited for LC mapping in complex and diverse landscapes. In this study, 30-meter LC maps for 2000, 2010, and 2020 were mapped by integrating multi-temporal Landsat imagery (±2 years) with training samples derived from the eight LC datasets.CodeType1Cropland2Forest3Shrub/Grassland4Water Bodies5Impervious Surfaces6Wetlands7Bare Land
提供机构：
figshare
创建时间：
2025-08-19
