Using a multistructural object-based LiDAR approach to estimate vascular plant richness in mediterranean forests with complex structure

IEEE Geoscience and Remote Sensing Letters

Volumn 12, Issue 5, 2015, Pages 1008-1012

  Lopatin, Javier ^a   Galleguillos, Mauricio ^a   Fassnacht, Fabian E ^b   Ceballos, Andrés ^a   Hernández, Jaime ^a  

^a UNIVERSITY OF CHILE   (Chile)

^b KARLSRUHE INSTITUTE OF TECHNOLOGY   (Germany)

Author keywords

Bootstrapping; LiDAR; object based analysis; partial least squares path model (PLS PM); vascular plant richness

Indexed keywords

FORECASTING; IMAGE SEGMENTATION; LEAST SQUARES APPROXIMATIONS; MEAN SQUARE ERROR; OPTICAL RADAR;

BOOTSTRAPPING; MULTIRESOLUTION SEGMENTATION; OBJECT BASED IMAGE ANALYSIS (OBIA); OBJECT-BASED ANALYSIS; PARTIAL LEAST SQUARE (PLS); PATH MODELS; ROOT MEAN SQUARE ERRORS; VASCULAR PLANT RICHNESS;

FORESTRY;

FORESTS; IMAGE ANALYSIS; RADAR; SPECIES IDENTIFICATION;

EID: 84922939269     PISSN: 1545598X     EISSN: None     Source Type: Journal    
DOI: 10.1109/LGRS.2014.2372875     Document Type: Article

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