CLDI Land Degradation Validation & Source Datasets

This dataset supports the study "The Comprehensive Land Degradation Index (CLDI): A Process-Based Framework for Land Degradation Diagnosis in Semi-Arid Sandy Lands", and consists of 3 core files: Data Sources.docx (Word document) Records all multi-source data used in the study, including remote sensing, climate, land-cover, soil, topographic, socioeconomic, and grazing datasets, with details on spatial resolution, temporal coverage, and official access links. Field survey data of land degradation degree (table file) Contains 1000 field sampling points with explicit land degradation grade attributes, serving as ground reference samples for CLDI model validation. GEE-based visual interpretation data of land degradation degree (table file) Contains 5000 validation points generated via stratified random sampling on Google Earth high-resolution imagery. These points were visually interpreted using surface texture, vegetation canopy cover, bare sand patch proportion, and wind erosion features. Both field and interpretation data are classified into 5 degradation levels (non-degraded to extremely severely degraded) following the Chinese National Ecological Environment Standards (2023) and relevant literature.本数据集支撑研究《综合土地退化指数（Comprehensive Land Degradation Index，CLDI）：半干旱沙区土地退化诊断的基于过程框架》，包含3个核心文件： 1. Data Sources.docx（Word文档）：记录本研究使用的全部多源数据，涵盖遥感、气候、土地覆被、土壤、地形、社会经济及放牧数据集，并详细标注了各数据集的空间分辨率、时间覆盖范围及官方获取链接。 2. 土地退化程度野外调查数据（表格文件）：包含1000个带有明确土地退化等级属性的野外采样点，作为CLDI模型验证的地面参考样本。 3. 基于谷歌地球引擎（Google Earth Engine，GEE）的土地退化程度目视解译数据（表格文件）：包含通过分层随机抽样在谷歌地球高分辨率影像上生成的5000个验证点位。这些点位通过地表纹理、植被冠层覆盖度、裸沙斑块占比及风蚀特征开展目视解译。野外调查数据与目视解译数据均依据《中国国家生态环境标准（2023年版）》及相关文献，划分为5个退化等级（未退化至极严重退化）。