Title
Segmentation of ALSM point data and the prediction of subcanopy sunlight distribution
Abstract
Sunlight flux in forest canopies is an important source of energy for the productivity of forests and is therefore an important input to biophysical process models. High-resolution three-dimensional estimates of sunlight flux are derived from directional foliage density measured from airborne laser swath mapping data. Forest edges are shown to exhibit measurable differences in flux. A method for determining appropriate in situ sampling intervals is also presented.
Year
DOI
Venue
2005
10.1109/IGARSS.2005.1526227
IGARSS
Keywords
Field
DocType
sunlight flux,forest canopy,atmospheric techniques,forestry,sunlight,airborne laser swath mapping data,image segmentation,data acquisition,remote sensing by laser beam,directional foliage density,geophysical signal processing,subcanopy sunlight distribution prediction,biophysical process models,forest productivity,forest edge,alsm point data segmentation,productivity,high resolution,process model,adaptive filters,sampling methods,testing,laser radar,three dimensional
Sunlight,Computer science,Segmentation,Remote sensing,Image segmentation,Flux,Sampling (statistics),Geophysical signal processing
Conference
Volume
ISSN
ISBN
1
2153-6996
0-7803-9050-4
Citations 
PageRank 
References 
2
0.54
1
Authors
3
Name
Order
Citations
PageRank
Heezin Lee141.31
Kittipat Kampa2335.93
Clint Slatton37918.56