Evaluating Environmental Quality and Its Driving Force in Northeastern China Using the Remote Sensing Ecological Index

作者：Enjun Gong, Fangxin Shi, Zhihui Wang, Qingfeng Hu, Zhang Jing, Hongxin Hai · 发表于：Sustainability · 年份：2022 · DOI：10.3390/su142316304 · 被引用次数：13 · 研究领域：Land Use and Ecosystem Services、Remote Sensing in Agriculture、Urban Heat Island Mitigation

As one of the three major black soil regions in the world, northeastern China has an important strategic position there. Since the 20th century, the local environment has undergone great changes under the influence of the natural economy, and it is particularly important to quantitatively assess the degree of change. However, there have been few long-term quantitative studies of environmental spatial-temporal variances in the three northeastern provinces. Therefore, in this study, four typical remote sensing indices of the normalized difference vegetation index (NDVI), land surface temperature (LST), normalized differential building–soil index (NDBSI) and wetness (WET) were employed to construct the remote sensing ecological index (RSEI) using a principal component analysis (PCA) method based on the Google Earth Engine (GEE) platform in northeastern China. The spatiotemporal variations in the eco-environmental quality were detected using linear slope and M–K test, and the direct and interactive effects of different influencing factors on the RSEI changes during 2000–2020 were explored based on geographic detection. The results show that the interannual variations in the RSEI show a fluctuating upward trend, with an increase percentage of 12.45% in the last two decades, indicating that the ecological quality of northeast China has gradually improved. Furthermore, that the western and eastern Heilongjiang provinces and western Jilin provinces contributed substantially to the im...