Hamid, J.A., Mather, P.M. and Hill, R.A., 2004. Mapping of Conifer Forest Plantations Using Airborne Hyperspectral and Lidar Data. In: 23rd Symposium of the European-Association-of-Remote-Sensing-Laboratories (EARSEL), 2–5 June 2003, University of Gent, Belgium, pp. 185-190.
Full text not available from this repository.
This paper addresses the feasibility of using lidar and hyperspectral data in order to discriminate between forest stands on the basis of species and age. The red edge position (REP) is computed for each hyperspectral pixel, using derivative-based methods. The spatial distribution of REP correlates well with species type and clearly distinguishes the broad-leaved category and as well as allowing discrimination of coniferous types in terms of species and age. The addition of mean canopy height, derived from co-registered first and last return Lidar data, helps to improve the discriminating power of the procedure.
|Item Type:||Conference or Workshop Item (Paper)|
|Additional Information:||in: Remote Sensing in Transition|
|Subjects:||Geography and Environmental Studies|
Technology > Agriculture
|Group:||School of Applied Sciences > Centre for Conservation, Ecology and Environmental Change|
|Deposited By:||INVALID USER|
|Deposited On:||01 Mar 2009 13:43|
|Last Modified:||07 Mar 2013 14:57|
|Repository Staff Only -|
|BU Staff Only -|
|Help Guide -||Editing Your Items in BURO|