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An online tool with Google Earth Engine and cellular automata for seamlessly simulating global urban expansion at high resolutions.

Authors :
Meng, Xin
Hu, Guohua
Li, Mengya
Yao, Yuanzhi
Li, Xia
Source :
International Journal of Geographical Information Science. Jan2025, Vol. 39 Issue 1, p231-253. 23p.
Publication Year :
2025

Abstract

Projecting global urban expansion is crucial for environmental assessment under climate change scenarios. However, existing global future urban land products are typically provided at coarse resolutions (1 km) due to data and computing limitations. This hinders the accurate assessment of the impacts of global urban development at finer scales. Thus, we develop the first Cellular Automata (CA) online tool for simulating future global urban expansion in Google Earth Engine (GEE-CA), which can simulate future urban land change at a 30 m resolution under different SSP scenarios. GEE-CA enables seamless simulations of future urban land at high resolution through a partitioned parallel strategy. Seven large urban agglomerations are simulated under shared socioeconomic pathways as representative regions to present our fine-scale results. Comparatively, our datasets preserve significantly more spatial details than existing global urban land products. The improvement in resolution from 1 km to 30 m reduces errors by a range from 7.11% to 21.27% in the estimation of future urban area. So far, the proposed GEE-CA tool allows users to generate urban land projection maps for any defined region with a resolution as high as 30 m. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
13658816
Volume :
39
Issue :
1
Database :
Academic Search Index
Journal :
International Journal of Geographical Information Science
Publication Type :
Academic Journal
Accession number :
182244861
Full Text :
https://doi.org/10.1080/13658816.2024.2401914