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Modelling forest habitat of zoological communities - Which sensors do we actually need?

Leutner, Benjamin and Wegmann, Martin and Müller, Jörg and Bachmann, Martin and Dech, Stefan (2014) Modelling forest habitat of zoological communities - Which sensors do we actually need? In: 34th EARSeL Symposium European remote sensing - new opportunities for science and practice, p. 1. 2nd Workshop of EARSeL Special Interest Group Forestry, 16.-19.06.2014, Warschau, Polen. ISBN 978-83-63245-57-3

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Abstract

"Modelling forest habitat types is of crucial importance for resource and conservation management on landscape scales. During the past decades substantial progress has been made in the development of remote sensing based forest type mapping, for which a multitude of different sensor systems have been employed. Yet, researchers frequently face the difficult decision which remote sensing data to acquire for a particular modelling task. Apart from specific sensor to sensor comparisons there is, however, no general understanding on how fundamental sensor characteristics such as spectral and spatial resolution interplay in determining mapping success. Based on airborne hyperspectral data we developed a general modelling framework for the identification of both sufficient and optimal sensor characteristics for a given modelling task with respect to spectral and spatial resolution. To this end, we simulate a spectral information gradient by means of a novel spectral clustering algorithm and perform spatial upscaling using general point-spread functions. The focus of our study lays on mapping habitat for different zoological communities in montane mixed forest stands in the Bavarian Forest national park, Germany. Habitats are defined for continuous community gradients obtained by means of non-metric multidimensional scaling of zoological ground survey data and are subsequently modelled using random forest regression with remote sensing data serving as predictors. A major result of direct practical relevance is the observed complementarity between spatial and spectral resolution, e.g. cases in which higher spectral resolution can make up for a less suitable spatial resolution. Moreover, this approach allows us to estimate the expected increase in model accuracy if transitioning from less suitable data to more suitable data. Besides providing recommendations on suitable sensor choice and sensor set-ups the proposed framework is a valuable tool to support the definition of sensor requirements for future missions in an objective, data-driven way."

Item URL in elib:https://elib.dlr.de/91659/
Document Type:Conference or Workshop Item (Speech)
Title:Modelling forest habitat of zoological communities - Which sensors do we actually need?
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Leutner, Benjaminbenjamin.leutner (at) uni-wuerzburg.deUNSPECIFIED
Wegmann, Martinmartin.wegmann (at) uni-wuerzburg.deUNSPECIFIED
Müller, JörgUNSPECIFIEDUNSPECIFIED
Bachmann, Martinmartin.bachmann (at) dlr.deUNSPECIFIED
Dech, Stefanstefan.dech (at) dlr.deUNSPECIFIED
Date:2014
Journal or Publication Title:34th EARSeL Symposium European remote sensing - new opportunities for science and practice
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Page Range:p. 1
ISBN:978-83-63245-57-3
Status:Published
Keywords:habitat, forest biodiversity, community, spectral resolution, spatial resolution
Event Title:2nd Workshop of EARSeL Special Interest Group Forestry
Event Location:Warschau, Polen
Event Type:international Conference
Event Dates:16.-19.06.2014
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben Geowissenschaftl. Fernerkundungs- und GIS-Verfahren
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center
German Remote Sensing Data Center > Leitungsbereich DFD
Deposited By: Wöhrl, Monika
Deposited On:12 Dec 2014 14:51
Last Modified:12 Dec 2014 14:51

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