Concept for forest parameter estimation based on combined Imaging Spectrometer and LIDAR data

Koetz, Benjamin; Morsdorf, Felix; Kneubühler, Mathias; Itten, Klaus I; Allgöwer, Britta

UZH-Logo

Concept for forest parameter estimation based on combined Imaging Spectrometer and LIDAR data

Koetz, Benjamin; Morsdorf, Felix; Kneubühler, Mathias; Itten, Klaus I; Allgöwer, Britta (2005). Concept for forest parameter estimation based on combined Imaging Spectrometer and LIDAR data. In: 4th EARsel workshop on Imaging Spectroscopy, Warsaw, Poland, 27 April 2005 - 30 April 2005, 593-603.

Abstract

Both Imaging Spectrometry and LIDAR have been already investigated as independent data sources to describe and quantify forests properties. While Imaging Spectrometry provides information on the biochemical and biophysical properties of the canopy, LIDAR resolves the spatial and vertical distribution of the canopy structure (1, 2). The presented contribution outlines a concept how these two complementary information sources can be combined for an improved estimation of forest parameters based on radiative transfer modelling.

Citations

1 citation in Microsoft Academic
Google Scholar™

Altmetrics

Downloads

91 downloads since deposited on 08 Jul 2014
4 downloads since 12 months
Detailed statistics

Additional indexing

Item Type:	Conference or Workshop Item (Paper), not_refereed, original work
Communities & Collections:	07 Faculty of Science > Institute of Geography
Dewey Decimal Classification:	910 Geography & travel
Language:	English
Event End Date:	30 April 2005
Deposited On:	08 Jul 2014 15:32
Last Modified:	24 Sep 2019 20:24
Publisher:	s.n.
ISBN:	83-89502-02-X
Additional Information:	Proceedings of 4th EARSeL Workshop on Imaging Spectroscopy (2005)
OA Status:	Green
Free access at:	Official URL. An embargo period may apply.
Official URL:	http://www.earsel.org/workshops/IS_Warsaw_2005/html/papers.htm