Tree Species Classification in a Highly Diverse Subtropical Forest Integrating UAV-Based Photogrammetric Point Cloud and Hyperspectral Data

Tree Species Classification in a Highly Diverse Subtropical Forest Integrating UAV-Based Photogrammetric Point Cloud and Hyperspectral Data

The use of remote sensing data for tree species classification in tropical forests is still a challenging task, due to their high floristic and spectral diversity. In this sense, novel sensors on board of unmanned aerial vehicle (UAV) platforms are a rapidly evolving technology that provides new pos...

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Bibliographic Details
Main Authors: Camile Sothe, Michele Dalponte, Cláudia Maria de Almeida, Marcos Benedito Schimalski, Carla Luciane Lima, Veraldo Liesenberg, Gabriela Takahashi Miyoshi, Antonio Maria Garcia Tommaselli
Format: Article
Language:English
Published: MDPI AG 2019-06-01
Series:Remote Sensing
Subjects:
tree species mapping
tropical biodiversity
imaging spectroscopy
photogrammetry
support vector machine
Online Access:https://www.mdpi.com/2072-4292/11/11/1338

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