A SVM-based model for predicting distribution of the invasive tree Miconia calvescens in tropical rainforests

Ecological Modelling

Volumn 222, Issue 15, 2011, Pages 2631-2641

  Pouteau, Robin ^a   Meyer, Jean Yves ^b   Stoll, Benoît ^a  

^a UNIVERSITÉ DE LA POLYNÉSIE FRANÇAISE   (French Polynesia)

^b Delegation a la Recherche   (French Polynesia)

Author keywords

Digital elevation model (DEM); Distribution model; Invasive species; Rainforest; Support vector machines (SVM); Vegetation mapping

Indexed keywords

DIGITAL ELEVATION MODEL; DISTRIBUTION MODELS; INVASIVE SPECIES; RAINFOREST; SUPPORT VECTOR; VEGETATION MAPPING;

ANIMALS; DIGITAL INSTRUMENTS; ECOSYSTEMS; FORESTRY; GEOMORPHOLOGY; PLANT EXTRACTS; REMOTE SENSING; SUPPORT VECTOR MACHINES; SURVEYING;

POPULATION DISTRIBUTION;

ACCURACY ASSESSMENT; BIOPHYSICS; CANOPY ARCHITECTURE; CLIMATE CHANGE; DETECTION METHOD; DIGITAL ELEVATION MODEL; ENDEMIC SPECIES; HERB; INVASIVE SPECIES; MAPPING METHOD; NUMERICAL MODEL; OVERSTORY; POPULATION DISTRIBUTION; QUICKBIRD; RAINFALL; RAINFOREST; RARE SPECIES; REMOTE SENSING; SPATIAL RESOLUTION; SPECTRAL ANALYSIS; TROPICAL FOREST; VEGETATION STRUCTURE;

ECOSYSTEMS; FORESTS; MAPPING; MATHEMATICAL MODELS; RAIN; REMOTE SENSING; TROPICAL ATMOSPHERES;

SOCIETY ISLANDS; TAHITI; WINDWARD ISLANDS [SOCIETY ISLANDS];

ANIMALIA; MICONIA CALVESCENS;

EID: 79959675693     PISSN: 03043800     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ecolmodel.2011.04.030     Document Type: Article

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