Canopy Height Estimation in French Guiana with LiDAR ICESat/GLAS Data Using Principal Component Analysis and Random Forest Regressions

Canopy Height Estimation in French Guiana with LiDAR ICESat/GLAS Data Using Principal Component Analysis and Random Forest Regressions

Estimating forest canopy height from large-footprint satellite LiDAR waveforms is challenging given the complex interaction between LiDAR waveforms, terrain, and vegetation, especially in dense tropical and equatorial forests. In this study, canopy height in French Guiana was estimated using multipl...

Full description

Bibliographic Details
Main Authors: Ibrahim Fayad, Nicolas Baghdadi, Jean-Stéphane Bailly, Nicolas Barbier, Valéry Gond, Mahmoud El Hajj, Frédéric Fabre, Bernard Bourgine
Format: Article
Language:English
Published: MDPI AG 2014-11-01
Series:Remote Sensing
Subjects:
LiDAR
ICESat/GLAS
canopy height
tropical forest
French Guiana
Online Access:http://www.mdpi.com/2072-4292/6/12/11883

Internet

http://www.mdpi.com/2072-4292/6/12/11883

Similar Items