Mapping Above-Ground Biomass in a Tropical Forest in Cambodia Using Canopy Textures Derived from Google Earth

Mapping Above-Ground Biomass in a Tropical Forest in Cambodia Using Canopy Textures Derived from Google Earth

This study develops a modelling framework for utilizing very high-resolution (VHR) aerial imagery for monitoring stocks of above-ground biomass (AGB) in a tropical forest in Southeast Asia. Three different texture-based methods (grey level co-occurrence metric (GLCM), Gabor wavelets and Fourier-base...

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Bibliographic Details
Main Authors: Minerva Singh, Damian Evans, Daniel A. Friess, Boun Suy Tan, Chan Samean Nin
Format: Article
Language:English
Published: MDPI AG 2015-04-01
Series:Remote Sensing
Subjects:
above-ground biomass
Angkor Thom
Google Earth
Fourier-based textural ordination
machine learning
support vector regression
LiDAR
Online Access:http://www.mdpi.com/2072-4292/7/5/5057

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http://www.mdpi.com/2072-4292/7/5/5057

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