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A grass gis package for semi-automatic spatial pattern analysis of remotely sensed land cover data

Wegmann, Martin and Leutner, Benjamin and Metz, Markus and Neteler, Markus and Dech, Stefan and Rocchini, Duccio (2017) A grass gis package for semi-automatic spatial pattern analysis of remotely sensed land cover data. Methods in Ecology and Evolution, 9, pp. 191-199. Wiley. DOI: 10.1111/2041-210X.12827 ISSN 2041-210X

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Official URL: http://onlinelibrary.wiley.com/doi/10.1111/2041-210X.12827/full#publication-history


1. Analysing the changing spatial patterns of landscapes due to climate change or anthropogenic impact is important for various disciplines. Land cover change and its resulting modification of spatial patterns in the landscape influence various geographical or ecological parameters. Changing formerly continuous into discontinuous ecosystems due to land cover conversion causes isolated fragments in the landscape. Maintaining the connectivity of a fragmented landscape is relevant for, e.g. in nutrient cycle, water-runoff or species population persistence. 2. Satellite imagery derived land cover can be used to analyse continuously the changing spatial arrangement of land cover types. However, analyses are computer intensive and require robust and efficient processing routines. 3. We developed a patch-based spatial analysis system (r.pi) integrated natively into a Free and Open Source GIS (grass gis) to be able to analyse large amounts of satellite derived land cover data in a semi-automatic manner, and to ensure high reproducibility and robustness. 4. Various established and newly developed indices for spatial pattern analysis are provided in this program, to derive further meaningful information like spatial configuration, patch irreplaceability or connectivity of fragments based on a dispersal model approach.

Item URL in elib:https://elib.dlr.de/116958/
Document Type:Article
Title:A grass gis package for semi-automatic spatial pattern analysis of remotely sensed land cover data
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Wegmann, Martinmartin.wegmann (at) uni-wuerzburg.deUNSPECIFIED
Leutner, Benjaminbenjamin.leutner (at) uni-wuerzburg.deUNSPECIFIED
Neteler, Markusneteler (at) mundialis.deUNSPECIFIED
Dech, StefanStefan.Dech (at) dlr.deUNSPECIFIED
Date:25 July 2017
Journal or Publication Title:Methods in Ecology and Evolution
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:Yes
DOI :10.1111/2041-210X.12827
Page Range:pp. 191-199
Keywords:connectivity, GIS, landscape fragmentation, patch irreplaceability, remote sensing, spatial ecology
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:14 Dec 2017 11:33
Last Modified:23 Feb 2019 00:22

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