青藏高原Landsat系列卫星遥感土壤调节植被指数（SAVI）产品（2023）

1）数据内容：本数据集包含2023年青藏高原地区Landsat长时序SAVI，空间分辨率为30m。2）数据来源及加工方法：主要是在青藏高原Landsat系列卫星地表反射率数据集的基础上，通过SAVI的计算公式进行生产的，即在NDVI计算公式的基础上引入了土壤调节因子S进行计算的；所依赖的地表反射率数据集考虑了地表的二向反射特征，因此该SAVI数据集不仅消除了大气的影响，也减小了不同太阳高度角引起的反射率差异，具有更好的一致性。3）数据质量描述：为了标识云、冰雪，并相应生产了质量标识文件（QA）。4) 数据应用成果及前景：该指数在植被稀疏区域较为稳定，而在植被覆盖茂盛区域不敏感。

1) Data Content: This dataset contains long-time series Soil-Adjusted Vegetation Index (SAVI) products of the Qinghai-Tibet Plateau in 2023, with a spatial resolution of 30 meters. 2) Data Source and Processing Method: The dataset is primarily generated based on the Landsat series satellite surface reflectance dataset of the Qinghai-Tibet Plateau, using the SAVI calculation formula, which introduces the soil adjustment factor S on the basis of the Normalized Difference Vegetation Index (NDVI) formula. The underlying surface reflectance dataset takes into account the bidirectional reflectance characteristics of the surface, so this SAVI dataset not only eliminates atmospheric effects but also reduces reflectance differences caused by varying solar elevation angles, resulting in better consistency. 3) Data Quality Description: A quality assessment (QA) file was produced correspondingly to identify clouds and snow/ice. 4) Data Application Achievements and Prospects: This index exhibits relatively stable performance in sparsely vegetated areas, but is less sensitive in densely vegetated regions.

搜集汇总

背景与挑战

背景概述

该数据集为2023年青藏高原地区的Landsat SAVI产品，空间分辨率30m，通过土壤调节因子计算，消除了大气影响和太阳高度角差异，适用于植被稀疏区域研究。数据集包含质量标识文件，总大小为353.89 GB。