High density biomass estimation: Testing the utility of vegetation indices and the random forest regression algorithm

34th International Symposium on Remote Sensing of Environment - The GEOSS Era: Towards Operational Environmental Monitoring

Volumn , Issue , 2011, Pages

  Mutanga, O ^a   Adam, E ^a  

^a UNIVERSITY OF KWAZULU NATAL   (South Africa)

Author keywords

Ecosystem; Environment; Hyperspectral; Saturation; Vegetation

Indexed keywords

ABOVE GROUND BIOMASS; ENVIRONMENT; HYPERSPECTRAL; MONITORING AND MANAGEMENT SYSTEMS; MULTISPECTRAL REMOTE SENSING; NORMALIZED DIFFERENCE VEGETATION INDEX; REGRESSION ALGORITHMS; ROBUST FEATURE SELECTION;

DECISION TREES; ECOSYSTEMS; ENVIRONMENTAL ENGINEERING; ESTIMATION; FORESTRY; REMOTE SENSING; SATURATION (MATERIALS COMPOSITION); VEGETATION; WETLANDS;

BIOMASS;

EID: 84879738498     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (18)

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