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Flood mapping through principal component analysis of multitemporal satellite imagery considering the alteration of water spectral properties due to turbidity conditions
Research article (Geomatics Natural Hazards and Risk, 2016) · cited 29× · AI/ML
Flood mapping through principal component analysis of multitemporal satellite imagery considering the alteration of water spectral properties due to turbidity conditions
Summary
Flood mapping through principal component analysis of multitemporal satellite imagery considering the alteration of water spectral properties due to turbidity conditions is a scholarly article[1].
Key Facts
Flood mapping through principal component analysis of multitemporal satellite imagery considering the alteration of water spectral properties due to turbidity conditions's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Flood mapping through principal component analysis of multitemporal satellite imagery considering the alteration of water spectral properties due to turbidity conditions. Retrieved May 24, 2026, from https://4ort.xyz/entity/flood-mapping-through-principal-component-analysis-of-multitemporal-satellite-imagery-considering-the-alteration-of-wate
MLA“Flood mapping through principal component analysis of multitemporal satellite imagery considering the alteration of water spectral properties due to turbidity conditions.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/flood-mapping-through-principal-component-analysis-of-multitemporal-satellite-imagery-considering-the-alteration-of-wate.
BibTeX@misc{4ortxyz_flood-mapping-through-principal-component-analysis-of-multitemporal-satellite-imagery-considering-the-alteration-of-wate_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Flood mapping through principal component analysis of multitemporal satellite imagery considering the alteration of water spectral properties due to turbidity conditions}}, year = {2026}, url = {https://4ort.xyz/entity/flood-mapping-through-principal-component-analysis-of-multitemporal-satellite-imagery-considering-the-alteration-of-wate}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Flood mapping through principal component analysis of multitemporal satellite imagery considering the alteration of water spectral properties due to turbidity conditions — https://4ort.xyz/entity/flood-mapping-through-principal-component-analysis-of-multitemporal-satellite-imagery-considering-the-alteration-of-wate (retrieved 2026-05-24)
