Quantifying Leaf Phenology of Individual Trees and Species in a Tropical Forest Using Unmanned Aerial Vehicle (UAV) Images

Tropical forests exhibit complex but poorly understood patterns of leaf phenology. Understanding species- and individual-level phenological patterns in tropical forests requires datasets covering large numbers of trees, which can be provided by Unmanned Aerial Vehicles (UAVs). In this paper, we test...

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Bibliographic Details

Published in:	Remote Sensing
Main Authors:	John Y. Park, Helene C. Muller-Landau, Jeremy W. Lichstein, Sami W. Rifai, Jonathan P. Dandois, Stephanie A. Bohlman
Format:	Article
Language:	English
Published:	MDPI AG 2019-06-01
Subjects:	phenology seasonality drones Unmanned Aerial Vehicles (UAV), texture features tropical forest species diversity machine learning near-surface remote-sensing
Online Access:	https://www.mdpi.com/2072-4292/11/13/1534