Spatio-Temporal Analysis of Ecological Vulnerability and Driving Factor Analysis in the Dongjiang River Basin, China, in the Recent 20 Years

The global ecological environment faces many challenges. Landsat thematic mapper time-series, digital elevation models, meteorology, soil types, net primary production data, socio-economic and auxiliary data were collected in order to construct a comprehensive evaluation system for vulnerability (EV) using multi-source remote sensing data. EV was divided into five levels: potential I, slight II, mild III, moderate IV, severe V. Then, we analyzed explored the spatio-temporal patterns driving mechanisms of region over past 20 years. Our research results showed that, from 2001 2019, DRB generally characterized as being class, with higher upstream downstream classes certain amount reduction midstream classes. Moreover, continues decrease. significantly influenced by relative humidity, average annual temperature, vegetation cover work can provide basis decision-making technical support ecosystem protection, restoration, management DRB.