青藏高原Landsat系列卫星遥感土壤调节植被指数（SAVI）产品（2022）

1）数据内容：本数据集包含2022年青藏高原地区Landsat长时序SAVI。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 over the Qinghai-Tibet Plateau in 2022, generated using Landsat satellite data.
2) Data Source and Processing Method: This dataset is primarily produced based on the Landsat series satellite surface reflectance dataset of the Qinghai-Tibet Plateau, via 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 accounts for the bidirectional reflectance characteristics of the land surface. Consequently, this SAVI dataset not only eliminates atmospheric interference, but also reduces reflectance differences caused by varying solar elevation angles, thereby achieving better consistency.
3) Data Quality Description: Corresponding quality assessment (QA) files are generated to identify clouds and snow/ice.
4) Data Application Achievements and Prospects: This index performs relatively stably in sparsely vegetated areas, while being insensitive in densely vegetated regions.

搜集汇总

背景与挑战

背景概述

该数据集为2022年青藏高原地区的Landsat SAVI产品，通过土壤调节因子S计算，消除了大气和太阳高度角的影响，具有月时间分辨率和10m-100m空间分辨率。数据集包含质量标识文件，适用于植被稀疏区域的研究。