GeoAI Dataset for Urbanized Area Segmentation from Landsat 8/9 Satellite Imagery and GEMS

GeoAI Dataset for Urbanized Area Segmentation from Landsat 8/9 Satellite Imagery and GEMS

In South Korea, air pollution has emerged as a pressing social issue, necessitating data-driven approaches to monitor sources of air pollutants. This study constructed a GEO AI dataset for detecting air pollution sources in urbanized areas, utilizing Landsat 8/9 satellite imagery, Geostationary Envi...

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Bibliographic Details
Main Authors: Sung-Hyun Gong, Hyung-Sup Jung, Geun-Han Kim, Geun-Hyouk Han, Il-Hoon Choi, Jin-Sung Hong
Format: Article
Language:English
Published: GeoAI Data Society 2024-12-01
Series:Geo Data
Subjects:
deep learning
urbanized area
ai dataset
landsat
air pollution
Online Access:http://geodata.kr/upload/pdf/GD-2024-0053.pdf
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http://geodata.kr/upload/pdf/GD-2024-0053.pdf

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