Estimation and mapping of above-ground biomass of mangrove forests and their replacement land uses in the Philippines using Sentinel imagery

ISPRS Journal of Photogrammetry and Remote Sensing

Volumn 134, Issue , 2017, Pages 70-85

  Castillo, Jose Alan A ^a,c   Apan, Armando A ^a   Maraseni, Tek N ^a   Salmo, Severino G ^b  

^a UNIVERSITY OF SOUTHERN QUEENSLAND   (Australia)

^b ATENEO DE MANILA UNIVERSITY   (Philippines)

^c Mangrove and Beach Forests Research Section   (Philippines)

Author keywords

Biomass; Biomass mapping; Land use change; Mangrove; Philippines; Sentinel imagery

Indexed keywords

DEFORESTATION; FORECASTING; LAKES; LAND USE; LEARNING ALGORITHMS; LEARNING SYSTEMS; MEAN SQUARE ERROR; OPTICAL REMOTE SENSING; SYNTHETIC APERTURE RADAR; TROPICS; VEGETATION MAPPING;

ABOVEGROUND BIOMASS; BIOMASS MAPPING; LANDUSE CHANGE; MANGROVE; MANGROVE FOREST; MULTI-SPECTRAL; PHILIPPINES; RED EDGE; SENTINEL IMAGERY; SENTINEL-1;

BIOMASS;

ABOVEGROUND BIOMASS; ALGORITHM; BACKSCATTER; BIOMASS; LAND USE CHANGE; LEAF AREA INDEX; MACHINE LEARNING; MANGROVE; SATELLITE IMAGERY; SENTINEL; VEGETATION COVER; VEGETATION INDEX;

PHILIPPINES;

RHIZOPHORACEAE;

EID: 85032959466     PISSN: 09242716     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.isprsjprs.2017.10.016     Document Type: Article

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