祁连山宏观生态系统格局及演变数据（1990-2015）

项目基于Landsat_TM30m遥感数据通过人工解译和机器学习算法完成了1990-2015年祁连山地区森林、农田、草地、湿地、聚落城市、荒漠六大类生态系统的空间格局分布信息提取，该套数据可以服务于研究区域生态系统宏观格局演变规律，生态系统服务功能评估，重大生态修复工程规划与效果评估。生态系统宏观格局演变是气候-社会经济耦合驱动的自然过程演变的宏观反应，也是土地利用与土地覆被变化的直接反映，更是区域可持续发展成效评估的重要数据基础。研究可为祁连山地区绿色发展指数评估提供数据基础。

Based on Landsat_TM 30m remote sensing data, this project utilized manual interpretation and machine learning algorithms to extract spatial pattern and distribution information of six major ecosystem types (forest, farmland, grassland, wetland, settlement/urban area, and desert) in the Qilian Mountains region from 1990 to 2015. This dataset can support studies on the macro spatio-temporal evolution patterns of regional ecosystems, ecosystem service function assessment, as well as the planning and effectiveness evaluation of major ecological restoration projects. The macro spatio-temporal evolution of ecosystems is a macroscopic reflection of natural processes driven by the coupling of climate and socio-economic factors, a direct indicator of land use and land cover change (LUCC), and a critical data foundation for evaluating the effectiveness of regional sustainable development. This work provides fundamental data support for the assessment of the green development index in the Qilian Mountains region.