Accuracy of small footprint airborne LiDAR in its predictions of tropical moist forest stand structure

Remote Sensing of Environment

Volumn 125, Issue , 2012, Pages 23-33

  Vincent, G ^a   Sabatier, D ^a   Blanc, L ^b   Chave, J ^c   Weissenbacher, E ^b   Pelissier R ^a   Fonty, E ^d   Molino, J F ^a   Couteron, P ^a  

^a UMR AMAP   (France)

^b Campus Agronomique   (France)

^c CNRS   (France)

^d ONF Direction territoriale Franche Comté   (France)

Author keywords

Basal area; Lidar; Tropical moist forest

Indexed keywords

AIRBORNE LIDAR; ANTHROPOGENIC EFFECTS; BASAL AREA; CANOPY HEIGHT MODELS; DATA COLLECTION; FOREST STRUCTURE; FRENCH GUIANA; GEOLOGICAL SUBSTRATES; GLOBAL MODELS; MULTIPLE REGRESSIONS; OPTIMAL SOLUTIONS; QUADRATIC MEAN DIAMETER; ROOT MEAN SQUARED ERRORS; SITE-SPECIFIC; SMALL-FOOTPRINT LIDARS; STAND BASAL AREA; STEM DENSITY; TROPICAL FOREST; TROPICAL MOIST FOREST;

ERRORS; FORECASTING; OPTICAL RADAR;

FORESTRY;

ANTHROPOGENIC EFFECT; BASAL AREA; LIDAR; NUMERICAL MODEL; SATELLITE DATA; STAND STRUCTURE; TROPICAL FOREST;

BASAL AREA; DATA PROCESSING; DIAMETER; ERRORS; FORESTS; FRENCH GUIANA; REGRESSION ANALYSIS; REMOTE SENSING;

EID: 84864198570     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2012.06.019     Document Type: Article

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