Machine Learning Based Building Damage Mapping from the ALOS-2/PALSAR-2 SAR Imagery: Case Study of 2016 Kumamoto Earthquake

Research article (Journal of Disaster Research, 2017) · cited 43× · AI/ML
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Machine Learning Based Building Damage Mapping from the ALOS-2/PALSAR-2 SAR Imagery: Case Study of 2016 Kumamoto Earthquake

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Machine Learning Based Building Damage Mapping from the ALOS-2/PALSAR-2 SAR Imagery: Case Study of 2016 Kumamoto Earthquake is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Machine Learning Based Building Damage Mapping from the ALOS-2/PALSAR-2 SAR Imagery: Case Study of 2016 Kumamoto Earthquake. Retrieved May 24, 2026, from https://4ort.xyz/entity/machine-learning-based-building-damage-mapping-from-the-alos-2-palsar-2-sar-imagery-case-study-of-2016-kumamoto-earthqua
MLA “Machine Learning Based Building Damage Mapping from the ALOS-2/PALSAR-2 SAR Imagery: Case Study of 2016 Kumamoto Earthquake.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/machine-learning-based-building-damage-mapping-from-the-alos-2-palsar-2-sar-imagery-case-study-of-2016-kumamoto-earthqua.
BibTeX @misc{4ortxyz_machine-learning-based-building-damage-mapping-from-the-alos-2-palsar-2-sar-imagery-case-study-of-2016-kumamoto-earthqua_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Machine Learning Based Building Damage Mapping from the ALOS-2/PALSAR-2 SAR Imagery: Case Study of 2016 Kumamoto Earthquake}}, year = {2026}, url = {https://4ort.xyz/entity/machine-learning-based-building-damage-mapping-from-the-alos-2-palsar-2-sar-imagery-case-study-of-2016-kumamoto-earthqua}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Machine Learning Based Building Damage Mapping from the ALOS-2/PALSAR-2 SAR Imagery: Case Study of 2016 Kumamoto Earthquake — https://4ort.xyz/entity/machine-learning-based-building-damage-mapping-from-the-alos-2-palsar-2-sar-imagery-case-study-of-2016-kumamoto-earthqua (retrieved 2026-05-24)

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