Work

Urbanization trend prediction and spatial resource optimization using optical remote sensing and machine learning

Year: 2025

Type: conference-paper

DOI: 10.1117/12.3075615

Author: Lin Ge

Institution: China University of Mining and Technology

Language: English

Topic: Remote Sensing and Land Use

Subfield: Atmospheric Science

Field: Earth and Planetary Sciences

Domain: Physical Sciences

SDGs: Sustainable cities and communities, Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4411412563

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