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Examining the Capability of Supervised Machine Learning Classifiers in Extracting Flooded Areas from Landsat TM Imagery: A Case Study from a Mediterranean Flood
Research article (Remote Sensing, 2015) · cited 104× · AI/ML
Examining the Capability of Supervised Machine Learning Classifiers in Extracting Flooded Areas from Landsat TM Imagery: A Case Study from a Mediterranean Flood
Summary
Examining the Capability of Supervised Machine Learning Classifiers in Extracting Flooded Areas from Landsat TM Imagery: A Case Study from a Mediterranean Flood is a scholarly article[1].
Key Facts
Examining the Capability of Supervised Machine Learning Classifiers in Extracting Flooded Areas from Landsat TM Imagery: A Case Study from a Mediterranean Flood's instance of is recorded as scholarly article[2].
References
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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.
APA4ort.xyz Knowledge Graph. (2026). Examining the Capability of Supervised Machine Learning Classifiers in Extracting Flooded Areas from Landsat TM Imagery: A Case Study from a Mediterranean Flood. Retrieved May 24, 2026, from https://4ort.xyz/entity/examining-the-capability-of-supervised-machine-learning-classifiers-in-extracting-flooded-areas-from-landsat-tm-imagery-
MLA“Examining the Capability of Supervised Machine Learning Classifiers in Extracting Flooded Areas from Landsat TM Imagery: A Case Study from a Mediterranean Flood.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/examining-the-capability-of-supervised-machine-learning-classifiers-in-extracting-flooded-areas-from-landsat-tm-imagery-.
BibTeX@misc{4ortxyz_examining-the-capability-of-supervised-machine-learning-classifiers-in-extracting-flooded-areas-from-landsat-tm-imagery-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Examining the Capability of Supervised Machine Learning Classifiers in Extracting Flooded Areas from Landsat TM Imagery: A Case Study from a Mediterranean Flood}}, year = {2026}, url = {https://4ort.xyz/entity/examining-the-capability-of-supervised-machine-learning-classifiers-in-extracting-flooded-areas-from-landsat-tm-imagery-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Examining the Capability of Supervised Machine Learning Classifiers in Extracting Flooded Areas from Landsat TM Imagery: A Case Study from a Mediterranean Flood — https://4ort.xyz/entity/examining-the-capability-of-supervised-machine-learning-classifiers-in-extracting-flooded-areas-from-landsat-tm-imagery- (retrieved 2026-05-24)
