Segmentation of tree crowns from airborne hyperspectral and lidar data: method comparison

0423706 - ÚVGZ 2014 RIV CZ eng C - Conference Paper (international conference)
Novotný, Jan - Zemek, František
Segmentation of tree crowns from airborne hyperspectral and lidar data: method comparison.
Global Change and Resilience: From Impacts to Responses : Proceedings of the 3rd annual Global Change and Resilience Conference. Brno: Global change research centre, Academy of Sciences of the Czech Republic, v. v. i, 2013 - (Stojanov, R.; Žalud, Z.; Cudlín, P.; Farda, A.; Urban, O.; Trnka, M.), s. 191-194. ISBN 978-80-904351-8-6.
[Global Change and Resilience. Brno (CZ), 22.05.2013-24.05.2013]
R&D Projects: GA MŠMT(CZ) ED1.1.00/02.0073; GA MŠMT OC09001
Institutional support: RVO:67179843
Keywords : optimal remote sensing * airborne laser scanning * individual tree crowns segmentation
Subject RIV: EH - Ecology, Behaviour

Structural and spectral information on single trees is needed for diff erent purposes in forest research and its applications. It can help, e.g., to explain the physiological performance of trees, to improve a parameterization of radiative transfer models, to estimate more precisely tree biomass or tree health status. Th is technical note aims at informing about the basic steps in the use of two categories of airborne digital data for tree crown segmentation: 1) passive multispectral (MS) and hyperspectral (HS) data; 2) active laser scanning (LiDAR) data. Basic assumptions of data quality and their pre-processing chains are mentioned for both data categories, followed by an analytical description of the basic steps in crown segmentation: a) detection of individual trees; b) delineation of a projected tree crown. Methods related to each data category and their common use are compared. As a result, synergic application of HS and laser scanning data resulted in the highest precision of tree crown delineation.
Permanent Link: http://hdl.handle.net/11104/0229852