Bright: a globally distributed multimodal building damage assessment dataset with very-high-resolution for all-weather disaster response

Research article (Earth system science data, 2025) · cited 23× · AI/ML
Press Enter · cited answer in seconds

Bright: a globally distributed multimodal building damage assessment dataset with very-high-resolution for all-weather disaster response

Summary

Bright: a globally distributed multimodal building damage assessment dataset with very-high-resolution for all-weather disaster response is a scholarly article[1].

Key Facts

  • Bright: a globally distributed multimodal building damage assessment dataset with very-high-resolution for all-weather disaster response's instance of is recorded as scholarly article[2].

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Bright: a globally distributed multimodal building damage assessment dataset with very-high-resolution for all-weather disaster response. Retrieved May 24, 2026, from https://4ort.xyz/entity/bright-a-globally-distributed-multimodal-building-damage-assessment-dataset-with-very-high-resolution-for-all-weather-di
MLA “Bright: a globally distributed multimodal building damage assessment dataset with very-high-resolution for all-weather disaster response.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/bright-a-globally-distributed-multimodal-building-damage-assessment-dataset-with-very-high-resolution-for-all-weather-di.
BibTeX @misc{4ortxyz_bright-a-globally-distributed-multimodal-building-damage-assessment-dataset-with-very-high-resolution-for-all-weather-di_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Bright: a globally distributed multimodal building damage assessment dataset with very-high-resolution for all-weather disaster response}}, year = {2026}, url = {https://4ort.xyz/entity/bright-a-globally-distributed-multimodal-building-damage-assessment-dataset-with-very-high-resolution-for-all-weather-di}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Bright: a globally distributed multimodal building damage assessment dataset with very-high-resolution for all-weather disaster response — https://4ort.xyz/entity/bright-a-globally-distributed-multimodal-building-damage-assessment-dataset-with-very-high-resolution-for-all-weather-di (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/bright-a-globally-distributed-multimodal-building-damage-assessment-dataset-with-very-high-resolution-for-all-weather-di · Last refreshed: