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Detecting Forest Fires in Southwest China From Remote Sensing Nighttime Lights Using the Random Forest Classification Model
Research article (IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2024) · cited 21× · AI/ML
Detecting Forest Fires in Southwest China From Remote Sensing Nighttime Lights Using the Random Forest Classification Model
Summary
Detecting Forest Fires in Southwest China From Remote Sensing Nighttime Lights Using the Random Forest Classification Model is a scholarly article[1].
Key Facts
Detecting Forest Fires in Southwest China From Remote Sensing Nighttime Lights Using the Random Forest Classification Model'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). Detecting Forest Fires in Southwest China From Remote Sensing Nighttime Lights Using the Random Forest Classification Model. Retrieved May 24, 2026, from https://4ort.xyz/entity/detecting-forest-fires-in-southwest-china-from-remote-sensing-nighttime-lights-using-the-random-forest-classification-mo
MLA“Detecting Forest Fires in Southwest China From Remote Sensing Nighttime Lights Using the Random Forest Classification Model.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/detecting-forest-fires-in-southwest-china-from-remote-sensing-nighttime-lights-using-the-random-forest-classification-mo.
BibTeX@misc{4ortxyz_detecting-forest-fires-in-southwest-china-from-remote-sensing-nighttime-lights-using-the-random-forest-classification-mo_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Detecting Forest Fires in Southwest China From Remote Sensing Nighttime Lights Using the Random Forest Classification Model}}, year = {2026}, url = {https://4ort.xyz/entity/detecting-forest-fires-in-southwest-china-from-remote-sensing-nighttime-lights-using-the-random-forest-classification-mo}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Detecting Forest Fires in Southwest China From Remote Sensing Nighttime Lights Using the Random Forest Classification Model — https://4ort.xyz/entity/detecting-forest-fires-in-southwest-china-from-remote-sensing-nighttime-lights-using-the-random-forest-classification-mo (retrieved 2026-05-24)
