Spatio-temporal dynamic evolution of ecological environment quality in Xinfengjiang River Basin based on improved remote sensing ecological index
In response to the intensifying ecological damage caused by the acceleration of urbanization construction in the Xinfengjiang River Basin,it is necessary to use remote sensing technology to monitor changes in the ecological environment quality in the basin. The remote sensing ecological index (RSEI),which reflects regional environmental quality from the perspective of natural factors,has a significant effect in natural regional ecological environment research,but it ignores the impact of human activities on the ecological environment and fails to fully reflect the interference of human factors on the ecological environment. This article took the Xinfengjiang River Basin from 2010 to 2020 as the research area and integrated point of interest (POI) data with human activity attributes into the RSEI to construct an improved human activity-intensity RSEI (HRSEI) for spatiotemporal analysis of ecological environment quality in the research area. The research has shown that:① there has been a large-scale development and construction in the basin over the past decade,but with the increasing implementation of the "Two Mountains" Theory (2015orynt),the ecological environment quality in the basin has reversed from a decrease to an increase;② The HRSEI integrated with POI data has better applicability to the perception of ecological environment quality in areas with intensive human construction activities in the basin;③ There continue to be large-scale construction activities within the basin,but the "decline-rise" evolution of ecological environment quality reflects the impro-vement of ecological management methods within the territory. The research results can provide suggestions and references for the ecological environment governance and restoration work in the Xinfengjiang River Basin in eastern Guangdong.
improved human-activity-intensity RSEI (HRSEI)ecological environment qualityspatio-temporal changespoints of interest (POI)
万方数据
维普
