• search hit 10 of 0
Back to Result List

Multi-Scale Landscape Analysis (MSLA) a method to identify correlation of relief with ecological point data

  • A common problem in ecology is identifying the relationship between relief and site properties obtainable only by point measurements. The method of Multi-Scale Landscape Analysis (MSLA) identifies such correlations. MSLA combines frequency filtering of the digital elevation model (DEM) with an estimation of the optimum filter coefficients using an optimization procedure. Tested using point data of soil decarbonation from a German young moraine landscape, MSLA provided significant results. Implemented within open source software SAMT. MSLA is comfortable and flexible to use, offering applications for numerous other spatial analysis problems.

Export metadata

Additional Services

Search Google Scholar Statistics
Metadaten
Author details:Ralf Wieland, Claus Dalchow, Michael SommerORCiDGND, Kyoko Fukuda
DOI:https://doi.org/10.1016/j.ecoinf.2010.09.002
ISSN:1574-9541
Title of parent work (English):Ecological informatics : an international journal on ecoinformatics and computational ecolog
Publisher:Elsevier
Place of publishing:Amsterdam
Publication type:Article
Language:English
Year of first publication:2011
Publication year:2011
Release date:2017/03/26
Tag:DEM; Fourier transformation; Landscape structure; SAMT; Singular value decomposition; Wavelet transformation
Volume:6
Issue:2
Number of pages:6
First page:164
Last Page:169
Funding institution:German Federal Ministry of Consumer Protection, Food and Agriculture; Ministry of Infrastructure and Agriculture of the Federal State of Brandenburg (Germany)
Organizational units:Mathematisch-Naturwissenschaftliche Fakultät / Institut für Geowissenschaften
Peer review:Referiert
Institution name at the time of the publication:Mathematisch-Naturwissenschaftliche Fakultät / Institut für Erd- und Umweltwissenschaften
Accept ✔
This website uses technically necessary session cookies. By continuing to use the website, you agree to this. You can find our privacy policy here.