雅鲁藏布江流域气候变化驱动的土地利用预测数据集（2030、2060）

该数据集提供了气候变化驱动的雅鲁藏布江流域2030年和2060年土地利用预测数据，包含土地利用文件及示例文件，空间分辨率500m。该数据基于集成随机森林算法的气候–NDVI–土地利用耦合模型预测获得，能够刻画气候变化对土地利用格局的影响。整体预测精度为0.90，Kappa系数为0.75，能够较好反映未来土地利用的空间分布及变化趋势。该数据为雅鲁藏布江流域未来气候相关的研究提供了下垫面数据，支撑多学科过程模拟与综合评估，服务于流域尺度的资源调控和可持续发展决策。

This dataset provides land use prediction data for the Yarlung Zangbo River Basin in 2030 and 2060 driven by climate change, including land use files and sample files, with a spatial resolution of 500 meters. This data was obtained via predictions using a coupled climate-NDVI-land use model integrated with the ensemble random forest algorithm, and can characterize the impacts of climate change on land use patterns. The overall prediction accuracy reaches 0.90, and the Kappa coefficient is 0.75, which can well reflect the spatial distribution and change trends of future land use. This dataset provides underlying surface data for climate-related future research in the Yarlung Zangbo River Basin, supports interdisciplinary process simulation and comprehensive assessment, and serves resource regulation and sustainable development decision-making at the basin scale.