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Identifying mangroves through knowledge extracted from trained random forest models: An interpretable mangrove mapping approach (IMMA)
Research article (ISPRS Journal of Photogrammetry and Remote Sensing, 2023) · cited 69× · AI/ML
Identifying mangroves through knowledge extracted from trained random forest models: An interpretable mangrove mapping approach (IMMA)
Summary
Identifying mangroves through knowledge extracted from trained random forest models: An interpretable mangrove mapping approach (IMMA) is a scholarly article[1].
Key Facts
Identifying mangroves through knowledge extracted from trained random forest models: An interpretable mangrove mapping approach (IMMA)'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). Identifying mangroves through knowledge extracted from trained random forest models: An interpretable mangrove mapping approach (IMMA). Retrieved May 24, 2026, from https://4ort.xyz/entity/identifying-mangroves-through-knowledge-extracted-from-trained-random-forest-models-an-interpretable-mangrove-mapping-ap
MLA“Identifying mangroves through knowledge extracted from trained random forest models: An interpretable mangrove mapping approach (IMMA).” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/identifying-mangroves-through-knowledge-extracted-from-trained-random-forest-models-an-interpretable-mangrove-mapping-ap.
BibTeX@misc{4ortxyz_identifying-mangroves-through-knowledge-extracted-from-trained-random-forest-models-an-interpretable-mangrove-mapping-ap_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Identifying mangroves through knowledge extracted from trained random forest models: An interpretable mangrove mapping approach (IMMA)}}, year = {2026}, url = {https://4ort.xyz/entity/identifying-mangroves-through-knowledge-extracted-from-trained-random-forest-models-an-interpretable-mangrove-mapping-ap}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Identifying mangroves through knowledge extracted from trained random forest models: An interpretable mangrove mapping approach (IMMA) — https://4ort.xyz/entity/identifying-mangroves-through-knowledge-extracted-from-trained-random-forest-models-an-interpretable-mangrove-mapping-ap (retrieved 2026-05-24)
