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Adding spatial attributes to landcover data – an ecological perspective

Wegmann, Martin and Schmidt, M. and Dech, Stefan (2009) Adding spatial attributes to landcover data – an ecological perspective. In: Proceedings of the 2009 IEEE International Geoscience and Remote Sensing Symposium, p. 1. IEEE International Geoscience and Remote Sensing Symposium, 12.-17.07.2009, Cape Town, South Africa.

Full text not available from this repository.

Official URL: http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IGARSS_2009/pdfs/3493.pdf

Abstract

Information on landcover and landcover change are the basis for many analyses of ecological, climatological or hydrological questions. Especially the loss of tropical forests is globally recognized to be an important issue. However, the spatial arrangement of the landcover has often been neglected although it is important for various ecological functions, e.g. for species migration. Landcover provides information on the spatial extent of (a certain) land cover class, however based on this data further differentiation between small or large, connected or isolated patches can be conducted. The change in the spatial arrangement of an ecosystem is subsumed under the word fragmentation, certain arrangements might be capable to compensate for habitat loss by sustaining landscape connectivity. Hence the question remains, if the analysis of the spatial arrangement of landcover classes can provide further ecologically relevant attributes for the remaining fragments. In this study we used satellite derived landcover data of West African rainforest and subsequently applied existing indices as well as newly developed indices which describe the spatial patterns. To calculate indices for large satellite datasets we employed our software package r.pi, that consists of more than 20 modules providing different kinds for spatial pattern analyses. Our focus was on the incorporation of matrix attributes for the analysis of patch connectivity. The results show that, using information of spatial patterns of a forest provides further relevant parameters for ecological research questions. The amount of forest cover does not render meaningful information on the importance for the landscape without the knowledge how this forest is spatially distributed. The incorporation of matrix attributes delivers important information on the isolation of individual forest patches. We conclude that spatial analysis on landcover data is needed when landcover data is assessed for ecological relevance.

Item URL in elib:https://elib.dlr.de/91641/
Document Type:Conference or Workshop Item (Speech)
Title:Adding spatial attributes to landcover data – an ecological perspective
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Wegmann, Martinmartin.wegmann (at) uni-wuerzburg.deUNSPECIFIED
Schmidt, M.UNSPECIFIEDUNSPECIFIED
Dech, Stefanstefan.dech (at) dlr.deUNSPECIFIED
Date:2009
Journal or Publication Title:Proceedings of the 2009 IEEE International Geoscience and Remote Sensing Symposium
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Page Range:p. 1
Status:Published
Keywords:landcover data, forest, West Africa, fragmentation, connectivity
Event Title:IEEE International Geoscience and Remote Sensing Symposium
Event Location:Cape Town, South Africa
Event Type:international Conference
Event Dates:12.-17.07.2009
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 14:50
Last Modified:12 Dec 2014 14:50

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