祁连山地区Landsat 5TM/7ETM+/8OLI影像合成的30m分辨率年最大NDVI数据集（1986-2019年）

基于Landsat 5TM/7ETM+/8OLI 地表反射率集合中的遥感影像，分别使用LEDAPS和LaSRC算法，进行大气辐射校正，并通过CFMASK算法去除的云、雪等影响，然后通过红色波段和近红外波段计算各幅图像的NDVI值，最后合成每年5月到9月间祁连山地区每个像元最大NDVI值。本数据集数据，空间分...

This dataset is developed from remote sensing images in the surface reflectance collections of Landsat 5TM, 7ETM+ and 8OLI. Atmospheric radiative correction was performed using the LEDAPS and LaSRC algorithms respectively, and disturbances such as clouds and snow were removed via the CFMASK algorithm. Subsequently, the Normalized Difference Vegetation Index (NDVI) was calculated for each image using the red and near-infrared bands. Finally, the maximum NDVI value for each pixel in the Qilian Mountains region from May to September of each year was composited. The data of this dataset has spatial

搜集汇总

背景与挑战

背景概述

该数据集提供了祁连山地区1986-2019年的30米分辨率年最大NDVI数据，适用于大尺度植被指数时间序列对比分析。数据经过大气辐射校正和云雪去除处理，但由于Landsat源图像质量问题，部分年份数据存在缺失。