Evaluating remote sensing datasets and machine learning algorithms for mapping plantations and successional forests in Phnom Kulen National Park of Cambodia

Evaluating remote sensing datasets and machine learning algorithms for mapping plantations and successional forests in Phnom Kulen National Park of Cambodia

This study develops a modelling framework by utilizing multi-sensor imagery for classifying different forest and land use types in the Phnom Kulen National Park (PKNP) in Cambodia. Three remote sensing datasets (Landsat optical data, ALOS L-band data and LiDAR derived Canopy Height Model (CHM)) were...

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Bibliographic Details
Main Authors: Minerva Singh, Damian Evans, Jean-Baptiste Chevance, Boun Suy Tan, Nicholas Wiggins, Leaksmy Kong, Sakada Sakhoeun
Format: Article
Language:English
Published: PeerJ Inc. 2019-10-01
Series:PeerJ
Subjects:
Tropical forests
Deforestation
Plantations
SE Asia
Remote sensing
Landsat
Online Access:https://peerj.com/articles/7841.pdf

Internet

https://peerj.com/articles/7841.pdf

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