• 研究论文 •

### 基于RSEI模型的昆明市生态环境质量动态监测

1. 1云南师范大学旅游与地理科学学院， 昆明 650500；2云南省高校资源与环境遥感重点实验室， 昆明 650500；3云南省地理空间信息技术工程技术研究中心， 昆明 650500）
• 发布日期:2020-06-10

### Dynamic monitoring of ecological environment quality in Kunming based on RSEI model.

NONG Lan-ping1,2,3, WANG Jin-liang1,2,3*

1. (1College of Tourism and Geographic Sciences, Yunnan Normal University, Kunming 650500, China; 2Key Laboratory of Resources and Environmental Remote Sensing for Universities in Yunnan, Kunming 650500, China; 3Center for Geospatial Information Engineering and Technology of Yunnan Province, Kunming 650500, China).
• Published:2020-06-10

Abstract: Using remote sensing technology to monitor ecological environment is a good way to quickly acquire the changes of ecological environment. Based on the data of Landsat TM and OLI images, we constructed a model of Remote Sensing Ecological Index (RSEI) with four indicators (greenness, humidity, dryness and heat) by using principal component analysis. This model was used to evaluate the ecological environment quality of Kunming during 2000-2018. The results showed that RSEI can well indicate the quality of regional ecological environment. RSEI was mainly affected by dryness, followed by humidity and greenness, with heat having the least influence. From 2000 to 2018, the five-year average of RSEI in Kunming was 0.51, and the ecological environment quality was in a general state (0.4-0.6). The quality of ecological environment showed a fluctuating trend of “rise-down-rise-down” over time. The quality of ecological environment was better in the western Kunming than in the eastern part, with the best in the southwest corner of Kunming.