Classifying Forest Types over a Mountainous Area in Southwest China with Landsat Data Composites and Multiple Environmental Factors

Classifying Forest Types over a Mountainous Area in Southwest China with Landsat Data Composites and Multiple Environmental Factors

Accurate information about forest type and distribution is critical for many scientific applications. It is possible to make a forest type map from the satellite data in a cost effective way. However, forest type mapping over a large and mountainous geographic area is still challenging, due to compl...

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Bibliographic Details
Main Authors: Ruonan Li, Panfei Fang, Weiheng Xu, Leiguang Wang, Guanglong Ou, Wanqiu Zhang, Xin Huang
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Forests
Subjects:
forest type classification
multi-seasonal image composite
Landsat
Google Earth Engine
random forest
Online Access:https://www.mdpi.com/1999-4907/13/1/135

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