Mapping Coniferous Forest Distribution in a Semi-Arid Area Based on Multi-Classifier Fusion and Google Earth Engine Combining Gaofen-1 and Sentinel-1 Data: A Case Study in Northwestern Liaoning, China

Mapping Coniferous Forest Distribution in a Semi-Arid Area Based on Multi-Classifier Fusion and Google Earth Engine Combining Gaofen-1 and Sentinel-1 Data: A Case Study in Northwestern Liaoning, China

Information about the distribution of coniferous forests holds significance for enhancing forestry efficiency and making informed policy decisions. Accurately identifying and mapping coniferous forests can expedite the achievement of Sustainable Development Goal (SDG) 15, aimed at managing forests s...

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Bibliographic Details
Main Authors: Lizhi Liu, Qiuliang Zhang, Ying Guo, Yu Li, Bing Wang, Erxue Chen, Zengyuan Li, Shuai Hao
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Forests
Subjects:
coniferous forests
semi-arid
multi-classifier fusion
Gaofen-1
Sentinel-1
Google Earth Engine
Online Access:https://www.mdpi.com/1999-4907/15/2/288

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