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Improving flood damage assessments in data-scarce areas by retrieval of building characteristics through UAV image segmentation and machine learning – a case study of the 2019 floods in southern Malawi

Research article (Natural hazards and earth system sciences, 2021) · cited 20× · AI/ML
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Improving flood damage assessments in data-scarce areas by retrieval of building characteristics through UAV image segmentation and machine learning – a case study of the 2019 floods in southern Malawi

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Improving flood damage assessments in data-scarce areas by retrieval of building characteristics through UAV image segmentation and machine learning – a case study of the 2019 floods in southern Malawi is a scholarly article[1].

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  • Improving flood damage assessments in data-scarce areas by retrieval of building characteristics through UAV image segmentation and machine learning – a case study of the 2019 floods in southern Malawi's instance of is recorded as scholarly article[2].

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Improving flood damage assessments in data-scarce areas by retrieval of building characteristics through UAV image segmentation and machine learning – a case study of the 2019 floods in southern Malawi. Retrieved May 24, 2026, from https://4ort.xyz/entity/improving-flood-damage-assessments-in-data-scarce-areas-by-retrieval-of-building-characteristics-through-uav-image-segme
MLA “Improving flood damage assessments in data-scarce areas by retrieval of building characteristics through UAV image segmentation and machine learning – a case study of the 2019 floods in southern Malawi.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/improving-flood-damage-assessments-in-data-scarce-areas-by-retrieval-of-building-characteristics-through-uav-image-segme.
BibTeX @misc{4ortxyz_improving-flood-damage-assessments-in-data-scarce-areas-by-retrieval-of-building-characteristics-through-uav-image-segme_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Improving flood damage assessments in data-scarce areas by retrieval of building characteristics through UAV image segmentation and machine learning – a case study of the 2019 floods in southern Malawi}}, year = {2026}, url = {https://4ort.xyz/entity/improving-flood-damage-assessments-in-data-scarce-areas-by-retrieval-of-building-characteristics-through-uav-image-segme}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Improving flood damage assessments in data-scarce areas by retrieval of building characteristics through UAV image segmentation and machine learning – a case study of the 2019 floods in southern Malawi — https://4ort.xyz/entity/improving-flood-damage-assessments-in-data-scarce-areas-by-retrieval-of-building-characteristics-through-uav-image-segme (retrieved 2026-05-24)

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