Paper Info
Title
Woody vegetation landscape feature generation from multispectral and LiDAR data (A CRCSI 2.07 woody attribution paper)
Abstract
There is a need for accurate estimation of Australian woody vegetation parameters. State and Commonwealth land management agencies are mandated to report about forest condition every five years. The CRCSI 2.07 “Australian woody vegetation landscape feature generation from multi-source airborne and space-borne imaging and ranging data” aims at producing ready-to-use methods to report forest condition based on remote sensing data. The first efforts have focus on field data techniques and canopy structure characterization using LiDAR data. Results demonstrate canopy profile can be accurately estimated using Weibull probability density functions at 30×30m pixel size. Moreover different field techniques to measure vegetation fractional cover has been tested and compare finding differences up to 15%.
Year
DOI
Venue
2013
10.1109/IGARSS.2013.6721142
Geoscience and Remote Sensing Symposium
Keywords
Field
DocType
remote sensing by laser beam,vegetation,Australian woody vegetation landscape feature generation,Australian woody vegetation parameters,Commonwealth land management agency,Lidar data,State land management agency,Weibull probability density functions,multisource airborne imaging,multisource space-borne imaging,multispectral data,Australian woody vegetation,canopy vertical profile,forest extent,fractional cover
Land management,Vegetation,Computer science,Remote sensing,Multispectral image,Weibull distribution,Feature generation,Pixel,Probability density function,Canopy
Conference
ISSN
ISBN
Citations 
2153-6996
978-1-4799-1114-1
0
PageRank 
References 
Authors
0.34
2
4
Name
Order
Citations
PageRank
Lola Suárez116223.30
Jones, S.222.37
Andrew Haywood3418.86
Wilkes, P.400.68