Predicting Leaf Phenology in Forest Tree Species Using UAVs and Satellite Images: A Case Study for European Beech (<i>Fagus sylvatica</i> L.)

Understanding forest tree phenology is essential for assessing forest ecosystem responses to environmental changes. Observations of phenology using remote sensing devices, such as satellite imagery and Unmanned Aerial Vehicles (UAVs), along with machine learning, are promising techniques. They offer...

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Bibliographic Details
Main Authors: Mihnea Ioan Cezar Ciocîrlan, Alexandru Lucian Curtu, Gheorghe Raul Radu
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/14/24/6198