Spatial and temporal dynamic change and influencing factors of ecological environment quality in Chaohu Lake basin based on GEE

doi:10.13474/j.cnki.11-2246.2023.0193

Abstract

Abstract: Taking Chaohu Lake basin as the research area, remote sensing ecological index (RSEI) is constructed through Google Earth Engine cloud computing platform, and large-scale and long-time dynamic monitoring analysis and evaluation of ecological environment quality in Chaohu Lake basin are carried out by means of spatial autocorrelation and geographic detectors based on Landsat TM/OLI series remote sensing data from 2000 to 2020. The results show that:①The average value of RSEI increased from 0.70 in 2000 to 0.74 in 2020, showing an overall improvement trend, and the ecological environment level is mainly excellent and good. ②The global Moran's I index of the study area is all greater than 0, and the ecological environment quality in Chaohu Lake basin presented a clustering trend on the global autocorrelation, with a significant spatial positive correlation. In the past 20 years, the low-low aggregation area had a trend of increasing firstly and then decreasing. ③The ecological environment is affected by many factors, among which human factors had a great impact on the ecological environment of Chaohu Lake basin in 2010, which leaded to the decline of ecological environment quality.

Key words: remote sensing, Google Earth Engine, Chaohu Lake basin, ecological environment quality, spatial autocorrelation, geographic detector

CLC Number:

P237

WANG Ying, LI Daiwei, ZHANG Fan, ZHU Huizi, LI Longwei, LI Nan. Spatial and temporal dynamic change and influencing factors of ecological environment quality in Chaohu Lake basin based on GEE[J]. Bulletin of Surveying and Mapping, 2023, 0(7): 7-13.

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