Investigating the robustness of the new Landsat-8 Operational Land Imager derived texture metrics in estimating plantation forest aboveground biomass in resource constrained areas

ISPRS Journal of Photogrammetry and Remote Sensing

Volumn 108, Issue , 2015, Pages 12-32

  Dube, Timothy ^a   Mutanga, Onisimo ^a  

^a UNIVERSITY OF KWAZULU NATAL   (South Africa)

Author keywords

Band texture ratios; Estimation accuracy; Landsat 8 OLI texture metrics; Pushbroom sensor; Regression ensemble; Signal to noise ratio; Swath width

Indexed keywords

DATA HANDLING; FORESTRY; INFRARED DETECTORS; LINEAR REGRESSION; PARAMETER ESTIMATION; REGRESSION ANALYSIS; REMOTE SENSING; SIGNAL TO NOISE RATIO; STOCHASTIC MODELS; STOCHASTIC SYSTEMS; TEXTURES; VEGETATION;

BAND TEXTURE RATIOS; LANDSAT; PUSHBROOM SENSORS; REGRESSION ENSEMBLE; SWATH WIDTH;

IMAGE TEXTURE;

ABOVEGROUND BIOMASS; COMMUNITY STRUCTURE; CONIFEROUS TREE; DECIDUOUS TREE; ESTIMATION METHOD; EVERGREEN TREE; FOREST CANOPY; LANDSAT; PLANTATION FORESTRY; REMOTE SENSING; RESOLUTION; SIGNAL-TO-NOISE RATIO; SPECTRAL REFLECTANCE;

BIOMASS; FORESTS; IMAGE ANALYSIS; INFORMATION RETRIEVAL; PLANTATIONS; REMOTE SENSING;

KWAZULU-NATAL; SOUTH AFRICA;

EUCALYPTUS; EUCALYPTUS GRANDIS; PINUS TAEDA;

EID: 84935033969     PISSN: 09242716     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.isprsjprs.2015.06.002     Document Type: Article

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