Regional Scale Rain-Forest Height Mapping Using Regression-Kriging of Spaceborne and Airborne LiDAR Data: Application on French Guiana-Reference-Cited by-同舟云学术

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Regional Scale Rain-Forest Height Mapping Using Regression-Kriging of Spaceborne and Airborne LiDAR Data: Application on French Guiana

Published:2016-03-16 Issue:3 Volume:8 Page:240
ISSN:2072-4292
Container-title:Remote Sensing
language:en
Short-container-title:Remote Sensing

Author:

Fayad Ibrahim,Baghdadi Nicolas,Bailly Jean-Stéphane,Barbier Nicolas,Gond Valéry,Hérault Bruno,El Hajj Mahmoud,Fabre Frédéric,Perrin José

Publisher

MDPI AG

Subject

General Earth and Planetary Sciences

Link

http://www.mdpi.com/2072-4292/8/3/240/pdf

Reference42 articles.

1. Above-ground biomass estimation in closed canopy Neotropical forests using lidar remote sensing: factors affecting the generality of relationships

2. Tree allometry and improved estimation of carbon stocks and balance in tropical forests

3. Mapping tropical forest carbon: Calibrating plot estimates to a simple LiDAR metric

4. A meta-analysis of terrestrial aboveground biomass estimation using lidar remote sensing

5. Tree height integrated into pantropical forest biomass estimates

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