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Enhancing wildfire mapping accuracy using mono-temporal Sentinel-2 data: A novel approach through qualitative and quantitative feature selection with explainable AI
Research article (Ecological Informatics, 2024) · cited 26× · AI/ML
Enhancing wildfire mapping accuracy using mono-temporal Sentinel-2 data: A novel approach through qualitative and quantitative feature selection with explainable AI
Summary
Enhancing wildfire mapping accuracy using mono-temporal Sentinel-2 data: A novel approach through qualitative and quantitative feature selection with explainable AI is a scholarly article[1].
Key Facts
Enhancing wildfire mapping accuracy using mono-temporal Sentinel-2 data: A novel approach through qualitative and quantitative feature selection with explainable AI'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). Enhancing wildfire mapping accuracy using mono-temporal Sentinel-2 data: A novel approach through qualitative and quantitative feature selection with explainable AI. Retrieved May 24, 2026, from https://4ort.xyz/entity/enhancing-wildfire-mapping-accuracy-using-mono-temporal-sentinel-2-data-a-novel-approach-through-qualitative-and-quantit
MLA“Enhancing wildfire mapping accuracy using mono-temporal Sentinel-2 data: A novel approach through qualitative and quantitative feature selection with explainable AI.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/enhancing-wildfire-mapping-accuracy-using-mono-temporal-sentinel-2-data-a-novel-approach-through-qualitative-and-quantit.
BibTeX@misc{4ortxyz_enhancing-wildfire-mapping-accuracy-using-mono-temporal-sentinel-2-data-a-novel-approach-through-qualitative-and-quantit_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Enhancing wildfire mapping accuracy using mono-temporal Sentinel-2 data: A novel approach through qualitative and quantitative feature selection with explainable AI}}, year = {2026}, url = {https://4ort.xyz/entity/enhancing-wildfire-mapping-accuracy-using-mono-temporal-sentinel-2-data-a-novel-approach-through-qualitative-and-quantit}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Enhancing wildfire mapping accuracy using mono-temporal Sentinel-2 data: A novel approach through qualitative and quantitative feature selection with explainable AI — https://4ort.xyz/entity/enhancing-wildfire-mapping-accuracy-using-mono-temporal-sentinel-2-data-a-novel-approach-through-qualitative-and-quantit (retrieved 2026-05-24)
