Detecting Spatially Non-Stationary between Vegetation and Related Factors in the Yellow River Basin from 1986 to 2021 Using Multiscale Geographically Weighted Regression Based on Landsat

• Published in: Remote sensing (Basel, Switzerland) Vol. 14; no. 24; p. 6276
• Main Authors: Wang, Xiaolei, Shi, Shouhai, Zhao, Xue, Hu, Zirong, Hou, Mei, Xu, Lei
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.12.2022
• Subjects: basins; China; climate; Climate change; climatic effects; Dependent variables; Distribution patterns; Drought; ecological restoration; Ecology; Evapotranspiration; evolution; Growth rate; Heterogeneity; humans; Independent variables; Landsat; landscapes; multiscale analysis; natural factors; normalized difference vegetation index; Normalized difference vegetative index; Precipitation; Rain; Regression; Remote sensing; River basins; Rivers; Social factors; Socioeconomic factors; Socioeconomics; Spatial analysis; Spatial distribution; Spatial heterogeneity; spatial non-stationarity; spatial variation; temperature; Terrain; Vegetation; vegetation change; Vegetation patterns; watersheds; Yellow River; Tibetan Plateau; China; Yellow River

As an important ecological barrier in northern China, the ecological environment of the Yellow River Basin (YRB) has been greatly improved in recent decades. However, due to spatially non-stationarity, the contribution of human activities and natural factors to vegetation restoration may exhibit dif...