Land Use/Land Cover Change and Their Driving Factors in the Yellow River Basin of Shandong Province Based on Google Earth Engine from 2000 to 2020

As the convenient outlet to Bo Sea and major region of economic development in Yellow River Basin, Shandong Province China has undergone large changes land use/land cover (LULC) past two decades with rapid urbanization population growth. The analysis LULC change patterns its driving factors section Basin can provide a scientific basis for rational planning ecological protection resources Basin. In this manuscript, we analyzed spatial pattern temporal 2000, 2010, 2020 by using random forest classification algorithm Google Earth Engine platform multi-temporal Landsat TM/OLI data. were also quantified factor detector interaction geodetector. Results show that decades, types study area are mainly farmland construction land, among which proportion decreased increased from 19.4% 29.7%. Based on results detector, it be concluded elevation, slope, soil type key affecting area. between elevation slope type, temperature precipitation strong explanatory power variation research data support environmental protection, sustainable, high-quality help local governments take corresponding measures achieve coordinated sustainable socioeconomic development.