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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...
Autores principales: | Singh, Minerva, Evans, Damian, Chevance, Jean-Baptiste, Tan, Boun Suy, Wiggins, Nicholas, Kong, Leaksmy, Sakhoeun, Sakada |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6814064/ https://www.ncbi.nlm.nih.gov/pubmed/31660266 http://dx.doi.org/10.7717/peerj.7841 |
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