Estimation of biophysical characteristics for highly variable mixed-conifer stands using small-footprint lidar
- 1 May 2006
- journal article
- Published by Canadian Science Publishing in Canadian Journal of Forest Research
- Vol. 36 (5) , 1129-1138
- https://doi.org/10.1139/x06-007
Abstract
No abstract availableKeywords
This publication has 28 references indexed in Scilit:
- Geographic variability in lidar predictions of forest stand structure in the Pacific NorthwestRemote Sensing of Environment, 2005
- Estimating forest canopy fuel parameters using LIDAR dataRemote Sensing of Environment, 2005
- Prediction of tree height, basal area and stem volume in forest stands using airborne laser scanningScandinavian Journal of Forest Research, 2004
- Lidar remote sensing of biophysical properties of tolerant northern hardwood forestsCanadian Journal of Remote Sensing, 2003
- LiDAR remote sensing of forest structureProgress in Physical Geography: Earth and Environment, 2003
- Integration of lidar and Landsat ETM+ data for estimating and mapping forest canopy heightRemote Sensing of Environment, 2002
- Lidar Remote Sensing for Ecosystem StudiesBioScience, 2002
- An evaluation of alternate remote sensing products for forest inventory, monitoring, and mapping of Douglas-fir forests in western OregonCanadian Journal of Forest Research, 2001
- Lidar Remote Sensing of the Canopy Structure and Biophysical Properties of Douglas-Fir Western Hemlock ForestsRemote Sensing of Environment, 1999
- Fitting autoregressive models for predictionAnnals of the Institute of Statistical Mathematics, 1969