Wegmann, Martin und Leutner, Benjamin und Metz, Markus und Neteler, Markus und Dech, Stefan und Rocchini, Duccio (2017) r.pi: A grass gis package for semi-automatic spatial pattern analysis of remotely sensed land cover data. Methods in Ecology and Evolution, 9, Seiten 191-199. Wiley. doi: 10.1111/2041-210X.12827. ISSN 2041-210X.
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Offizielle URL: http://onlinelibrary.wiley.com/doi/10.1111/2041-210X.12827/full#publication-history
Kurzfassung
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.
elib-URL des Eintrags: | https://elib.dlr.de/116958/ | ||||||||||||||||||||||||||||
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Dokumentart: | Zeitschriftenbeitrag | ||||||||||||||||||||||||||||
Titel: | r.pi: A grass gis package for semi-automatic spatial pattern analysis of remotely sensed land cover data | ||||||||||||||||||||||||||||
Autoren: |
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Datum: | 25 Juli 2017 | ||||||||||||||||||||||||||||
Erschienen in: | Methods in Ecology and Evolution | ||||||||||||||||||||||||||||
Referierte Publikation: | Ja | ||||||||||||||||||||||||||||
Open Access: | Ja | ||||||||||||||||||||||||||||
Gold Open Access: | Nein | ||||||||||||||||||||||||||||
In SCOPUS: | Ja | ||||||||||||||||||||||||||||
In ISI Web of Science: | Ja | ||||||||||||||||||||||||||||
Band: | 9 | ||||||||||||||||||||||||||||
DOI: | 10.1111/2041-210X.12827 | ||||||||||||||||||||||||||||
Seitenbereich: | Seiten 191-199 | ||||||||||||||||||||||||||||
Verlag: | Wiley | ||||||||||||||||||||||||||||
ISSN: | 2041-210X | ||||||||||||||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||||||||||||||
Stichwörter: | connectivity, GIS, landscape fragmentation, patch irreplaceability, remote sensing, spatial ecology | ||||||||||||||||||||||||||||
HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||||||||||||||||||||||
HGF - Programm: | Raumfahrt | ||||||||||||||||||||||||||||
HGF - Programmthema: | Erdbeobachtung | ||||||||||||||||||||||||||||
DLR - Schwerpunkt: | Raumfahrt | ||||||||||||||||||||||||||||
DLR - Forschungsgebiet: | R EO - Erdbeobachtung | ||||||||||||||||||||||||||||
DLR - Teilgebiet (Projekt, Vorhaben): | R - Geowissenschaftl. Fernerkundungs- und GIS-Verfahren | ||||||||||||||||||||||||||||
Standort: | Oberpfaffenhofen | ||||||||||||||||||||||||||||
Institute & Einrichtungen: | Deutsches Fernerkundungsdatenzentrum Deutsches Fernerkundungsdatenzentrum > Leitungsbereich DFD | ||||||||||||||||||||||||||||
Hinterlegt von: | Wöhrl, Monika | ||||||||||||||||||||||||||||
Hinterlegt am: | 14 Dez 2017 11:33 | ||||||||||||||||||||||||||||
Letzte Änderung: | 19 Jun 2023 09:33 |
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