Detecting Land Use Changes in Ordos City Using the Google Earth Engine Remote Sensing Cloud Platform

Zhigang Ye, Shan Yin and Yong Wang
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Zhigang Ye: Inner Mongolia Normal University, China
Shan Yin: Inner Mongolia Normal University, China
Yong Wang: Inner Mongolia Normal University, China

International Journal of Agricultural and Environmental Information Systems (IJAEIS), 2025, vol. 16, issue 1, 1-20

Abstract: This study leverages Google Earth Engine's remote sensing cloud platform to examine land use changes in Ordos City between 2000 and 2017. The analysis focuses on the quantitative shifts, intensity, and spatial structure of land use dynamics. Findings indicate significant land use transformation over the period, with woodland increasing by 56% at a rapid annual growth rate of 3.29%, while grassland, water areas, and unused land decreased. The development pace of various land types accelerated between 2010 and 2015, particularly for woodland, cultivated land, and construction land. Spatial disparities were evident among different types of land use changes, with more significant variations observed in the southeast compared to the northwest. Despite less noticeable differences from 2010 to 2017, land use diversity grew gradually. These results offer valuable data-driven insights for promoting sustainable land use and development strategies in the region.

Date: 2025
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