Assessment of Remote Sensing Ecological Quality by Introducing Water and Air Quality Indicators：A Case Study of Wuhan, China

Keywords: Ecological Quality, Remote Sensing, Water Region, Geographical Weighted Regression, Wuhan
Abstract Type: Virtual Paper Abstract

Abstract

This paper proposes a comprehensive assessment method for regional ecological quality. Based on Landsat TM+OLI/TIRS images, remote sensing indexes WET, NDVI, NDBSI and LST representing terrestrial ecological quality are constructed, and remote sensing indexes chlorophyll and solid suspended solids representing water quality were constructed. Air quality is characterized based on Aerosol Optical Depth in MCD19A2. A remote sensing ecological index (WIRSEI) improved for water area assessment was established through principal component analysis, and the driving force of WIRSEI change was analyzed using geographical weighted regression(GWR) model, which was applied to Wuhan from 2000 to 2020. The results showed that: (1) WIRSEI in 7 central urban areas was significantly lower than that in 6 remote urban areas, and the ecological quality of lakes was higher than that of rivers. (2) From 2000 to 2020, Wuhan's overall WIRSEI showed a trend of "rising - falling - rising - stable". In most regions, the degree of ecological quality change was relatively small, most of the grades were ‘No change’, ‘Slightly better’ and ‘Slightly worse’, accounting for 88-93% of the total area. (3) The change of WIRSEI from 2000 to 2020 is closely related to urban expansion, population change and economic development. The impact of land use, economic and social variables on WIRSEI has obvious spatial heterogeneity. Compared with the driving factors, land use dynamics (LUCD) has a great impact on WIRSEI changes, while GDP and population (POP) are very small.The research results can be used for effective monitoring of regional ecological quality.