Semi-Supervised Classification and Landscape Metrics for Mapping and Spatial Pattern Change Analysis of Tropical Forest Types in Thua Thien Hue Province, Vietnam

Semi-Supervised Classification and Landscape Metrics for Mapping and Spatial Pattern Change Analysis of Tropical Forest Types in Thua Thien Hue Province, Vietnam

Research Highlights: In this study, we classified natural forest into four forest types using time-series multi-source remotely sensed data through a proposed semi-supervised model developed and validated for mapping forest types and assessing forest transition in Vietnam. Background and Objectives:...

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Bibliographic Details
Main Authors: Truong Thi Cat Tuong, Hiroshi Tani, Xiufeng Wang, Nguyen Quang Thang
Format: Article
Language:English
Published: MDPI AG 2019-08-01
Series:Forests
Subjects:
forest types classification
forest transition
semi-supervised model
landscape metrics
Landsat data
synthetic aperture radar
Online Access:https://www.mdpi.com/1999-4907/10/8/673

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https://www.mdpi.com/1999-4907/10/8/673

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