Mauritia flexuosa palm trees airborne mapping with deep convolutional neural network

Accurately mapping individual tree species in densely forested environments is crucial to forest inventory. When considering only RGB images, this is a challenging task for many automatic photogrammetry processes. The main reason for that is the spectral similarity between species in RGB scenes, whi...

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Bibliographic Details
Published in:	Scientific reports Vol. 11; no. 1; pp. 19619 - 13
Main Authors:	Arce, Luciene Sales Dagher, Osco, Lucas Prado, Arruda, Mauro dos Santos de, Furuya, Danielle Elis Garcia, Ramos, Ana Paula Marques, Aoki, Camila, Pott, Arnildo, Fatholahi, Sarah, Li, Jonathan, Araújo, Fábio Fernando de, Gonçalves, Wesley Nunes, Marcato Junior, José
Format:	Journal Article
Language:	English
Published:	London Nature Publishing Group UK 04.10.2021 Nature Publishing Group Nature Portfolio
Subjects:	631/114 631/158 Deep learning Forests Humanities and Social Sciences Local communities Mapping Mauritia flexuosa multidisciplinary Neural networks Photogrammetry Plant species Science Science (multidisciplinary) Species Trees Water resources
ISSN:	2045-2322, 2045-2322
Online Access:	Get full text
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