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Reconstructing historical forest fire risk in the non-satellite era using the improved forest fire danger index and long short-term memory deep learning-a case study in Sichuan Province, southwestern China
Research article (Forest Ecosystems, 2024) · cited 17× · AI/ML
Reconstructing historical forest fire risk in the non-satellite era using the improved forest fire danger index and long short-term memory deep learning-a case study in Sichuan Province, southwestern China
Summary
Reconstructing historical forest fire risk in the non-satellite era using the improved forest fire danger index and long short-term memory deep learning-a case study in Sichuan Province, southwestern China is a scholarly article[1].
Key Facts
Reconstructing historical forest fire risk in the non-satellite era using the improved forest fire danger index and long short-term memory deep learning-a case study in Sichuan Province, southwestern China'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). Reconstructing historical forest fire risk in the non-satellite era using the improved forest fire danger index and long short-term memory deep learning-a case study in Sichuan Province, southwestern China. Retrieved May 24, 2026, from https://4ort.xyz/entity/reconstructing-historical-forest-fire-risk-in-the-non-satellite-era-using-the-improved-forest-fire-danger-index-and-long
MLA“Reconstructing historical forest fire risk in the non-satellite era using the improved forest fire danger index and long short-term memory deep learning-a case study in Sichuan Province, southwestern China.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/reconstructing-historical-forest-fire-risk-in-the-non-satellite-era-using-the-improved-forest-fire-danger-index-and-long.
BibTeX@misc{4ortxyz_reconstructing-historical-forest-fire-risk-in-the-non-satellite-era-using-the-improved-forest-fire-danger-index-and-long_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Reconstructing historical forest fire risk in the non-satellite era using the improved forest fire danger index and long short-term memory deep learning-a case study in Sichuan Province, southwestern China}}, year = {2026}, url = {https://4ort.xyz/entity/reconstructing-historical-forest-fire-risk-in-the-non-satellite-era-using-the-improved-forest-fire-danger-index-and-long}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Reconstructing historical forest fire risk in the non-satellite era using the improved forest fire danger index and long short-term memory deep learning-a case study in Sichuan Province, southwestern China — https://4ort.xyz/entity/reconstructing-historical-forest-fire-risk-in-the-non-satellite-era-using-the-improved-forest-fire-danger-index-and-long (retrieved 2026-05-24)
