Comparison of forest attributes extracted from fine spatial resolution multispectral and lidar data
- 1 December 2004
- journal article
- Published by Taylor & Francis Ltd in Canadian Journal of Remote Sensing
- Vol. 30 (6), 855-866
- https://doi.org/10.5589/m04-045
Abstract
No abstract availableThis publication has 21 references indexed in Scilit:
- Estimating plot-level tree heights with lidar: local filtering with a canopy-height based variable window sizeComputers and Electronics in Agriculture, 2002
- Sensitivity of large-footprint lidar to canopy structure and biomass in a neotropical rainforestRemote Sensing of Environment, 2002
- Estimating tree height and tree crown properties using airborne scanning laser in a boreal nature reserveRemote Sensing of Environment, 2002
- A segmentation-based method to retrieve stem volume estimates from 3-D tree height models produced by laser scannersIEEE Transactions on Geoscience and Remote Sensing, 2001
- 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
- Optimizing templates for finding trees in aerial photographsPattern Recognition Letters, 1998
- Derivations of stand heights from airborne laser scanner data with canopy-based quantile estimatorsCanadian Journal of Forest Research, 1998
- Separating the ground and airborne laser sampling phases to estimate tropical forest basal area, volume, and biomassRemote Sensing of Environment, 1997
- Textural classification for ecological research using ATM imagesInternational Journal of Remote Sensing, 1996