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...

詳細記述

書誌詳細

出版年:	Remote Sensing
主要な著者:	Pan Liu, Chunying Ren, Zongming Wang, Mingming Jia, Wensen Yu, Huixin Ren, Chenzhen Xia
フォーマット:	論文
言語:	英語
出版事項:	MDPI AG 2024-01-01
主題:	tree species classification monthly dataset Sentinel-2 machine learning topography mountainous forest
オンライン･アクセス:	https://www.mdpi.com/2072-4292/16/2/293