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

ISPRS International Journal of Geo-Information

Guangjiu Qin¹  Jian Li²  Yong Liang²  Yaohui Liu³  Mingshui Zhu³  Jian Cui³ 

[1] Department of Assets, Shandong Jianzhu University, Jinan 250101, China;Ji’nan Institute of Survey and Investigation, Jinan 250101, China;School of Surveying and Geo-Informatics, Shandong Jianzhu University, Jinan 250101, China;

关键词: Google Earth Engine (GEE);    land use/land cover;    random forest (RF);    geographical detector;    Yellow River Basin;   

DOI  :  10.3390/ijgi11030163

来源: DOAJ

【 摘 要 】

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

【 授权许可】

Unknown