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.
Author details: | Ralf Wieland, Claus Dalchow, Michael SommerORCiDGND, Kyoko Fukuda |
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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 |