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U-net-based semantic classification for flood extent extraction using SAR imagery and GEE platform: A case study for 2019 central US flooding
Research article (The Science of The Total Environment, 2023) · cited 106× · AI/ML
U-net-based semantic classification for flood extent extraction using SAR imagery and GEE platform: A case study for 2019 central US flooding
Summary
U-net-based semantic classification for flood extent extraction using SAR imagery and GEE platform: A case study for 2019 central US flooding is a scholarly article[1].
Key Facts
U-net-based semantic classification for flood extent extraction using SAR imagery and GEE platform: A case study for 2019 central US flooding'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). U-net-based semantic classification for flood extent extraction using SAR imagery and GEE platform: A case study for 2019 central US flooding. Retrieved May 24, 2026, from https://4ort.xyz/entity/u-net-based-semantic-classification-for-flood-extent-extraction-using-sar-imagery-and-gee-platform-a-case-study-for-2019
MLA“U-net-based semantic classification for flood extent extraction using SAR imagery and GEE platform: A case study for 2019 central US flooding.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/u-net-based-semantic-classification-for-flood-extent-extraction-using-sar-imagery-and-gee-platform-a-case-study-for-2019.
BibTeX@misc{4ortxyz_u-net-based-semantic-classification-for-flood-extent-extraction-using-sar-imagery-and-gee-platform-a-case-study-for-2019_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{U-net-based semantic classification for flood extent extraction using SAR imagery and GEE platform: A case study for 2019 central US flooding}}, year = {2026}, url = {https://4ort.xyz/entity/u-net-based-semantic-classification-for-flood-extent-extraction-using-sar-imagery-and-gee-platform-a-case-study-for-2019}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): U-net-based semantic classification for flood extent extraction using SAR imagery and GEE platform: A case study for 2019 central US flooding — https://4ort.xyz/entity/u-net-based-semantic-classification-for-flood-extent-extraction-using-sar-imagery-and-gee-platform-a-case-study-for-2019 (retrieved 2026-05-24)
