疏勒河流域长时间序列SpotVegetation植被指数数据集（1998-2008）

由欧洲联盟委员会赞助的VEGETATION传感器于1998年3月由SPOT-4搭载升空，从1998年4月开始接收用于全球植被覆盖观察的 SPOTVGT数据，该数据由瑞典的Kiruna地面站负责接收，由位于法国Toulouse的图像质量监控中心负责图像质量并提供相关参数（如定标系 数），最终由比利时弗莱芒技术研究所（Flemish Institute for Technological Research，Vito）VEGETATION影像处理中心（VEGETATION processing Centre，CTIV）负责预处理成逐日1km 全球数据。预处理包括大气校正，辐射校正，几何校正，生产10天最大化合成的NDVI数据，并将-1到-0.1的值设置为-0.1，再通过公式DN= (NDVI+0.1)/0.004转换到0-250的DN值。
该数据集为疏勒河长时间序列植被指数数据集是主要针对归一化植被指数（NDVI），包含1998-2008年每10天合成的四个波段的光谱反射率及10天最大化NDVI，空间分辨率为1km，时间分辨率为旬。

The VEGETATION sensor, sponsored by the European Commission, was launched aboard SPOT-4 in March 1998. SPOTVGT data for global vegetation cover monitoring was received starting from April 1998. This data was received by the Kiruna Ground Station in Sweden; the Image Quality Monitoring Center located in Toulouse, France, was responsible for image quality assessment and provided relevant parameters such as calibration coefficients. Finally, the VEGETATION processing Centre (CTIV) under the Flemish Institute for Technological Research (VITO) in Belgium preprocessed the data into daily 1 km global datasets. The preprocessing included atmospheric correction, radiometric correction, and geometric correction, and produced 10-day maximum composite NDVI data. Values ranging from -1 to -0.1 were set to -0.1, and then converted to DN values ranging from 0 to 250 using the formula DN = (NDVI + 0.1)/0.004. This dataset is the Shule River long-term time series vegetation index dataset, which primarily focuses on the Normalized Difference Vegetation Index (NDVI). It contains 10-day composite four-band spectral reflectance data and 10-day maximum NDVI values from 1998 to 2008, with a spatial resolution of 1 km and a temporal resolution of 10 days (dekad).