Fusing multi-season UAS images with convolutional neural networks to map tree species in Amazonian forests

Research article (Ecological Informatics, 2022) · cited 51× · AI/ML
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Fusing multi-season UAS images with convolutional neural networks to map tree species in Amazonian forests

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Fusing multi-season UAS images with convolutional neural networks to map tree species in Amazonian forests is a scholarly article[1].

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  • Fusing multi-season UAS images with convolutional neural networks to map tree species in Amazonian forests's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Fusing multi-season UAS images with convolutional neural networks to map tree species in Amazonian forests. Retrieved May 24, 2026, from https://4ort.xyz/entity/fusing-multi-season-uas-images-with-convolutional-neural-networks-to-map-tree-species-in-amazonian-forests
MLA “Fusing multi-season UAS images with convolutional neural networks to map tree species in Amazonian forests.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/fusing-multi-season-uas-images-with-convolutional-neural-networks-to-map-tree-species-in-amazonian-forests.
BibTeX @misc{4ortxyz_fusing-multi-season-uas-images-with-convolutional-neural-networks-to-map-tree-species-in-amazonian-forests_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Fusing multi-season UAS images with convolutional neural networks to map tree species in Amazonian forests}}, year = {2026}, url = {https://4ort.xyz/entity/fusing-multi-season-uas-images-with-convolutional-neural-networks-to-map-tree-species-in-amazonian-forests}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Fusing multi-season UAS images with convolutional neural networks to map tree species in Amazonian forests — https://4ort.xyz/entity/fusing-multi-season-uas-images-with-convolutional-neural-networks-to-map-tree-species-in-amazonian-forests (retrieved 2026-05-24)

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