Mapping Distinct Forest Types Improves Overall Forest Identification Based on Multi-Spectral Landsat Imagery for Myanmar’s Tanintharyi Region

We investigated the use of multi-spectral Landsat OLI imagery for delineating mangrove, lowland evergreen, upland evergreen and mixed deciduous forest types in Myanmar’s Tanintharyi Region and estimated the extent of degraded forest for each unique forest type. We mapped a total of 16 natural and hu...

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Detalhes bibliográficos

Principais autores:	Grant Connette, Patrick Oswald, Melissa Songer, Peter Leimgruber
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2016-10-01
coleção:	Remote Sensing
Assuntos:	remote sensing forest types forest classification Landsat 8 OLI satellite imagery wildlife habitat tropical forest mangrove
Acesso em linha:	http://www.mdpi.com/2072-4292/8/11/882
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