The utilization of Python in urban modeling analysis

潘 毅

doi:10.14866/ajg.2024s.0_265

Annual Meeting of the Association of Japanese Geographers, Spring 2024

Session ID : P067

DOI https://doi.org/10.14866/ajg.2024s.0_265

Conference information

Host: The Association of Japanese Geographers

Name : Annual Meeting of the Association of Japanese Geographers, Spring 2024

Date : March 19, 2024 - March 21, 2024

The utilization of Python in urban modeling analysis

*Yi Pan

Author information

Keywords: urban modeling, landcover, land surface temperature, geo-segmentation

CONFERENCE PROCEEDINGS FREE ACCESS

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Abstract

For urban analysis, both 2D landcover data and 3D urban building data are necessary, especially for urban microclimate analysis.

The purpose of this study is to efficiently process remote sensing data and extract urban buildings by using Python packages such as 'geemap' and 'leafmap’.

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