基于RSEI模型的成都市生态环境遥感评价  

Remote Sensing Evaluation of Ecological Environment in Chengdu City Based on RSEI Model

作　　者：杨惠麟 张存波 赵祺 Yang Huilin;Zhang Cunbo;Zhao Qi(School of Earth Sciences,Chengdu University of Technology,Chengdu,China)

机构地区：[1]成都理工大学地球科学学院,四川成都

出　　处：《科学技术创新》2024年第8期38-41,共4页Scientific and Technological Innovation

摘　　要：城市生态环境是评价区域发展的重要指标,而遥感技术可以提供一种高效的监测手段。本文以成都市为例,基于遥感生态指数(RSEI)模型,通过Google Earth Engine(GEE)云计算平台对城市生态环境质量进行监测和评估。文章采取了一种适用于盆地平原地区的遥感生态指数,结合绿度指数(NDVI)、热度指数(LST)、湿度指数(WET)和干度指数(NDBSI)来评估区域的生态环境质量水平。结果表明,该方法可以快速、高效地进行城市生态环境监测,填补了仅基于有限地面环境站点监测的不足,有助于城市生态环境的高质量建设和区域可持续发展。Urban ecological environment is an important indicator for evaluating regional development,and remote sensing technology can provide an efficient monitoring tool.In this paper,based on the Remote Sensing Ecological Index(RSEI) model in Chengdu city,the quality of urban ecological environment is monitored and evaluated by Google Earth Engine(GEE) cloud computing platform.The article adopts a remote sensing ecological index applicable to the basin plain region,combining greenness index(NDVI),heat index(LST),humidity index(WET) and dryness index(NDBSI) to assess the ecological environment quality level of the region.The results show that the method can carry out urban ecological environment monitoring quickly and efficiently,filling the shortage of monitoring based only on limited ground-based environmental sites,and contributing to the high-quality construction of urban ecological environment and sustainable development of the region.

关 键 词：遥感生态指数 MODIS 生态环境评价 成都市 

分 类 号：X3[环境科学与工程—环境工程] TP79[自动化与计算机技术—检测技术与自动化装置]