Evaluating the Potential of Sentinel-2 Time Series Imagery and Machine Learning for Tree Species Classification in a Mountainous Forest

Evaluating the Potential of Sentinel-2 Time Series Imagery and Machine Learning for Tree Species Classification in a Mountainous Forest

Accurate and reliable information on tree species composition and distribution is crucial in operational and sustainable forest management. Developing a high-precision tree species map based on time series satellite data is an effective and cost-efficient approach. However, we do not quantitatively...

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Bibliographic Details
Main Authors:	Pan Liu, Chunying Ren, Zongming Wang, Mingming Jia, Wensen Yu, Huixin Ren, Chenzhen Xia
Format:	Article
Language:	English
Published:	MDPI AG 2024-01-01
Series:	Remote Sensing
Subjects:	tree species classification monthly dataset Sentinel-2 machine learning topography mountainous forest
Online Access:	https://www.mdpi.com/2072-4292/16/2/293

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