基于FY-3D NDVI的西藏自治区植被分类250 m栅格数据集(2020)

250 m Raster Dataset of Vegetation Classification in the Xizang Autonomous Region Based on FY-3D NDVI(2020)

西藏自治区的植被类型复杂多样,其植被分布对于理解和监测生态系统的健康状况具有重要意义。作者基于GEE(Google Earth Engine)平台,采用地形、气候和FY-3D(风云三号D星)NDVI数据,通过随机森林分类算法研发了西藏自治区植被分类250 m栅格数据集(2020),总体精度为81.5%,Kappa系数为0.79。结果表明,风云遥感数据可以满足高精度区域植被制图的需求。该数据集为理解西藏自治区的植被特征、生态变化及其对气候的响应提供了宝贵的数据资源。数据集内容包括:(1)植被分类体系表;(2)西藏自治区250 m分辨率植被分布数据(2020)。数据集存储为.xlsx和.tif格式,由2个数据文件组成,数据量为3.16 MB(压缩为1个文件,2.73 MB)。

Understanding the complex vegetation types in the Xizang Autonomous Region is vital for assessing and monitoring ecosystem health.This study developed the 250 m raster dataset of vegetation classification in the Xizang Autonomous Region(2020)utilizing the Google Earth Engine(GEE)platform,the random forest(RF)classification algorithm,and data encompassing terrain,climate,and FY-3D NDVI data.This map,with a 250 m spatial resolution,achieved an overall accuracy(OA)of 81.5%and a Kappa coefficient of 0.79.The results showed that the FY satellite data demonstrates high precision in regional vegetation mapping.This dataset is essential for comprehending the characteristics of Xizang Autonomous Region's vegetation,the ecological changes within the region,and how they respond to climatic factors.The dataset includes:(1)vegetation classification system table,and(2)vegetation distribution data in 250 m raster in 2020.The dataset is archived in.xlsx and.tif formats,and consists of 2 data files with data size of 3.16 MB(compressed to one single file with 2.73 MB).