2015、2020、2025年郴州市森林覆盖及主要树种空间分布数据集 (30 m)

湖南省郴州市位于我国南岭山地丘陵区，两地地形复杂、森林类型多样。2015、2020、2025年郴州市森林覆盖度及主要树种空间分布数据集（30 m）以Landsat 7与Landsat 8卫星影像为数据源，采用机器学习分类方法生成。数据集将森林分为常绿针叶林、针阔混交林、落叶阔叶林和常绿阔叶林。数据空间分辨率为30米，时间覆盖2015年、2020年与2025年，可为区域森林资源监测、植被动态分析及生态保护评估提供基础数据支撑。Chenzhou City, Hunan Province is located in the Nanling Mountainous and Hilly Region of China, featuring complex terrain and diverse forest types. The spatial distribution dataset of forest coverage and main tree species in Chenzhou City for the years 2015, 2020 and 2025 (30 m resolution) was generated using Landsat 7 and Landsat 8 satellite imagery as data sources via machine learning classification methods. This dataset classifies forests into four categories: evergreen coniferous forest, coniferous and broad-leaved mixed forest, deciduous broad-leaved forest, and evergreen broad-leaved forest. With a spatial resolution of 30 meters and covering the years 2015, 2020 and 2025, the dataset can provide fundamental data support for regional forest resource monitoring, vegetation dynamic analysis and ecological protection assessment.

搜集汇总

背景与挑战

背景概述

该数据集基于Landsat 7/8影像和机器学习分类方法，生成了2015、2020、2025年郴州市30米分辨率的森林覆盖及主要树种空间分布数据，将森林划分为常绿针叶林、针阔混交林、落叶阔叶林和常绿阔叶林四类。数据集精度优于85%，可为区域森林资源监测、植被动态分析和生态保护评估提供基础数据支持。