Vegetation Mapping with Random Forest Using Sentinel 2 and GLCM Texture Feature—A Case Study for Lousã Region, Portugal

Vegetation Mapping with Random Forest Using Sentinel 2 and GLCM Texture Feature—A Case Study for Lousã Region, Portugal

Vegetation mapping requires accurate information to allow its use in applications such as sustainable forest management against the effects of climate change and the threat of wildfires. Remote sensing provides a powerful resource of fundamental data at different spatial resolutions and spectral reg...

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Bibliographic Details
Main Authors: Pegah Mohammadpour, Domingos Xavier Viegas, Carlos Viegas
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Remote Sensing
Subjects:
vegetation classification
Sentinel 2
Random Forest
accuracy assessment
independent variables
GLCM texture feature
Online Access:https://www.mdpi.com/2072-4292/14/18/4585

Internet

https://www.mdpi.com/2072-4292/14/18/4585

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