青藏高原Landsat系列卫星遥感归一化差值植被指数（NDVI）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 includes long-time-series NDVI (Normalized Difference Vegetation Index) data of the Qinghai-Tibet Plateau in 2023 derived from Landsat satellite imagery.
2) Data Source and Processing Method: It is primarily produced based on the Landsat series satellite surface reflectance dataset of the Qinghai-Tibet Plateau, using the standard NDVI calculation formula. Specifically, vegetation growth status is quantified by calculating the difference between the near-infrared band and the red band.
3) Data Quality Description: Corresponding quality assessment (QA) files have been generated to identify clouds and snow/ice.
4) Data Application Achievements and Prospects: This index can reflect vegetation health conditions and growth trends. With its simple calculation and excellent indicative performance, it is widely applied in agriculture, forestry, ecological environment and other fields. Additionally, it acts as a critical input parameter for ecological physical parameter inversion, and is currently one of the most widely used vegetation indices.

搜集汇总

背景与挑战

背景概述

该数据集是2023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，空间分辨率在10米至100米之间，数据总量为369.79 GB。它基于地表反射率数据通过NDVI公式计算生成，包含质量标识文件（QA），用于定量评估植被生长状况，广泛应用于农业、林业和生态环境等领域。