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

Above‐ground biomass estimation in closed canopy Neotropical forests using lidar remote... Aim Previous studies have developed strong, site‐specific relationships between canopy metrics from lidar (light detecting and ranging) remote sensing data and forest structural characteristics such as above‐ground biomass (AGBM), but the generality of these relationships is unknown. In this study, we examine the generality of relationships between lidar metrics and forest structural characteristics, including AGBM, from two study areas in Central America with different precipitation patterns. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Global Ecology and Biogeography Wiley

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

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Publisher
Wiley
Copyright
Copyright © 2003 Wiley Subscription Services, Inc., A Wiley Company
ISSN
1466-822X
eISSN
1466-8238
DOI
10.1046/j.1466-822X.2003.00010.x
Publisher site
See Article on Publisher Site

Abstract

Aim Previous studies have developed strong, site‐specific relationships between canopy metrics from lidar (light detecting and ranging) remote sensing data and forest structural characteristics such as above‐ground biomass (AGBM), but the generality of these relationships is unknown. In this study, we examine the generality of relationships between lidar metrics and forest structural characteristics, including AGBM, from two study areas in Central America with different precipitation patterns.

Journal

Global Ecology and BiogeographyWiley

Published: Mar 1, 2003

Keywords: ; ; ; ; ; ; ; ; ;

References

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