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10 February 2023 Assessment of spatial-temporal changes in ecological environment quality based on RSEI and GEE: a case study in a demonstration area in the Yangtze River Delta on ecologically friendly development
Ting He, Haiyan Sun
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Proceedings Volume 12552, International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022); 125523F (2023) https://doi.org/10.1117/12.2667676
Event: International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022), 2022, Kunming, China
Abstract
With the increasing impact of human activities on the natural ecological environment, it is of great significance to realize the dynamic monitoring of ecological quality status and obtain effective change information for sustainable development and regional space ecological environment protection. Based on the remote sensing cloud computing platform of Google Earth Engine (GEE), with the help of remote sensing based ecological index (RSEI) and taking the Landsat Image of a demonstration area in the Yangtze River Delta on ecologically friendly development from 2015 to 2021 as the data source, this paper monitored and evaluated the regional ecological environment quality. The results show that the average value of RSEI in the region decreased from 0.626 to 0.543 from 2015 to 2021, showing a downward trend. Spatially, the areas with good ecological grade are mainly concentrated in Qingpu District of Shanghai, the areas with poor and fair ecological grade are mainly distributed in Wujiang district and the south of Jiashan County in Suzhou City, and the areas with basically unchanged ecological grade mainly include the south of Qingpu District. The GEE platform benefits from its advantages of quick and easy data processing and better availability of remote sensing image data during the research period, which provides a reliable reference for the ecological environment quality assessment of a demonstration area in the Yangtze River Delta on ecologically friendly development.
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Ting He and Haiyan Sun "Assessment of spatial-temporal changes in ecological environment quality based on RSEI and GEE: a case study in a demonstration area in the Yangtze River Delta on ecologically friendly development", Proc. SPIE 12552, International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022), 125523F (10 February 2023); https://doi.org/10.1117/12.2667676
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KEYWORDS
Remote sensing
Clouds
Image quality
Vegetation
Cloud computing
Landsat
Principal component analysis
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