A Planted Forest Mapping Method Based on Long-Term Change Trend Features Derived from Dense Landsat Time Series in an Ecological Restoration Region

A Planted Forest Mapping Method Based on Long-Term Change Trend Features Derived from Dense Landsat Time Series in an Ecological Restoration Region

Planted forests provide a variety of meaningful ecological functions and services, which is a major approach for ecological restoration, especially in arid areas. However, mapping planted forests with remote-sensed data remains challenging due to the similarities in canopy spectral and structure cha...

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Bibliographic Details
Main Authors: Yuanyuan Meng, Caiyong Wei, Yanpei Guo, Zhiyao Tang
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Remote Sensing
Subjects:
planted forests
long-term change trend features
Landsat time series
Google Earth Engine
random forest
NDVI
Online Access:https://www.mdpi.com/2072-4292/14/4/961

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