首页|基于Google Earth Engine的洱海流域建成区范围及生态质量变化分析

基于Google Earth Engine的洱海流域建成区范围及生态质量变化分析

Analysis of built-up area range and ecological quality changes in the Erhai Basin based on Google Earth Engine

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以洱海流域为研究区,借助Google Earth Engine云平台,利用Landsat 8 OLI系列影像,合成研究区域的增强的指数型建筑指数(EIBI)并对洱海流域建成区进行提取,再对研究区域遥感生态指数进行合成,通过对建成区范围与流域范围内遥感生态指数进行空间相关分析,从而对2014-2021年洱海流域及其建成区进行生态评估.结果表明,EIBI可有效增强建筑信息,使用EIBI可有效、准确地提取研究区域建成区,经过EIBI提取,洱海流域2014-2021年建成区扩张面积共14.712 km2;2014-2021年洱海流域生态明显改善,遥感生态指数增加0.008,其上升速率为0.001/年,流域内超过65%的区域生态得到改善;洱海流域建成区与生态未得到改善区域大致匹配,建成区经过生态修复后生态质量未见显著提升,且建成区生态质量呈逐年下降趋势,说明建成区对环境改善具有阻力.
Taking Erhai Basin as the research area,with the help of Google Earth Engine cloud platform and Landsat 8 OLI series im-ages,the enhanced index-based build-up index(EIBI)of the research area was synthesized and the built-up areas in Erhai Basin was extracted.Then,the remote sensing-based ecological index of the study area was synthesized.Through the spatial correlation anal-ysis of the remote sensing-based ecological index of the built-up area and the basin,the ecological assessment of Erhai Basin and its built-up area from 2014 to 2021 was carried out.The results showed that the EIBI could effectively enhance the building information.Using EIBI could effectively and accurately extract the built-up area of the study area.After EIBI extraction,the expansion area of the built-up area of Erhai Basin from 2014 to 2021 was 14.712 km2.From 2014 to 2021,the ecology of Erhai Basin was significantly im-proved,the remote sensing ecological index increased by 0.008,with an increase rate of 0.001/year,and more than 65%of the region-al ecology in the basin was improved.The built-up area in Erhai Basin roughly matched the area where the ecology had not been im-proved.The ecological quality of the built-up area had not been significantly improved after ecological restoration,and the ecological quality of the built-up area showed a downward trend year by year,indicating that the built-up area had resistance to environmental improvement.

Erhai Basinenhanced index-based built-up indexremote sensing-based ecological indexGoogle Earth Engineba-sin environment

郑舒元、陈星宇、海燕、王建雄

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云南农业大学,昆明 650201

云南省高校农业遥感与精准农业工程研究中心,昆明 650201

西南林业大学经济管理学院,昆明 650224

洱海流域 增强的指数型建筑指数 遥感生态指数 Google Earth Engine 流域环境

国家自然科学基金项目

41867040

2024

湖北农业科学
湖北省农业科学院 华中农业大学 长江大学 黄冈师范学院

湖北农业科学

CSTPCD
影响因子:0.442
ISSN:0439-8114
年,卷(期):2024.63(2)
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