Generalizing predictive models of forest inventory attributes using an area-based approach with airborne LiDAR data
- 1 January 2015
- journal article
- review article
- Published by Elsevier BV in Remote Sensing of Environment
- Vol. 156, 322-334
- https://doi.org/10.1016/j.rse.2014.10.004
Abstract
No abstract availableKeywords
Funding Information
- French National Research Agency (ANR)
- Foresee (ANR-2010-BIOE-008)
This publication has 82 references indexed in Scilit:
- Key canopy traits drive forest productivityProceedings Of The Royal Society B-Biological Sciences, 2012
- Ontogeny partly explains the apparent heterogeneity of published biomass equations for Fagus sylvatica in central EuropeForest Ecology and Management, 2011
- Sensitivity analysis of fire behavior modeling with LIDAR-derived surface fuel mapsForest Ecology and Management, 2008
- An evaluation of different diameter diversity indices based on criteria related to forest management planningForest Ecology and Management, 2005
- Estimating stand structure using discrete-return lidar: an example from low density, fire prone ponderosa pine forestsForest Ecology and Management, 2005
- On simplifying allometric analyses of forest biomassForest Ecology and Management, 2003
- Estimation of tree canopy leaf area index by gap fraction analysisForest Ecology and Management, 1993
- Cross-Validation of Regression ModelsJournal of the American Statistical Association, 1984
- Validation of Regression Models: Methods and ExamplesTechnometrics, 1977
- A theoretical analysis of the frequency of gaps in plant standsAgricultural Meteorology, 1971