Discriminating Urban Forest Types from Sentinel-2A Image Data through Linear Spectral Mixture Analysis: A Case Study of Xuzhou, East China

Urban forests are an important component of the urban ecosystem. Urban forest types are a key piece of information required for monitoring the condition of an urban ecosystem. In this study, we propose an urban forest type discrimination method based on linear spectral mixture analysis (LSMA) and a...

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Bibliographic Details
Main Authors: Xisheng Zhou, Long Li, Longqian Chen, Yunqiang Liu, Yifan Cui, Yu Zhang, Ting Zhang
Format: Article
Language:English
Published: MDPI AG 2019-05-01
Series:Forests
Subjects:
SVM
Online Access:https://www.mdpi.com/1999-4907/10/6/478