青藏高原Landsat系列卫星遥感归一化差值植被指数（NDVI）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NDVI。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NDVI的计算公式进行生产的，即通过计算近红外波段和红波段之间的差异来定量化植被的生长状况；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：该指数可反映植被的健康情况及植被的长势，由于计算简单，指示性好，被广泛应用于农业、林业、生态环境等领域，同时也是生态物理参数反演的重要输入参数，是目前应用最为广泛的植被指数之一。

1) Data Content: This dataset contains long-time-series Normalized Difference Vegetation Index (NDVI) data over the Qinghai-Tibet Plateau in 2022 derived from Landsat satellites.
2) Data Source and Processing Method: It is primarily generated based on the Landsat series satellite surface reflectance dataset of the Qinghai-Tibet Plateau, using the standard NDVI calculation formula, which quantifies vegetation growth status by calculating the difference between the near-infrared band and the red band.
3) Data Quality Description: Corresponding Quality Assessment (QA) files were produced to identify clouds, snow and ice.
4) Data Application Achievements and Prospects: This index can reflect vegetation health and growth conditions. With its simple calculation and excellent indicative performance, it has been widely applied in agriculture, forestry, ecological environment and other fields. Additionally, it serves as a critical input parameter for ecophysical parameter inversion, and is one of the most widely used vegetation indices at present.

搜集汇总

背景与挑战

背景概述

该数据集是2022年青藏高原地区的Landsat系列卫星遥感归一化差值植被指数（NDVI）产品，时间分辨率为月，空间分辨率为10米至100米，数据总量达353.01 GB，以开放获取方式共享。它通过计算近红外和红波段差异来量化植被生长状况，包含质量标识文件（QA）用于标识云和冰雪，广泛应用于农业、林业和生态环境监测等领域。