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

被引：6

作者：

Wieland, Ralf ^{[1
]}

Dalchow, Claus

Sommer, Michael ^{[2
,3
]}

Fukuda, Kyoko ^{[4
]}

机构：

[1] Leibniz Ctr Agr Landscape Res, Inst Landscape Syst Anal, D-15374 Muencheberg, Germany

[2] Leibniz Ctr Agr Landscape Res, Inst Soil Landscape Res, D-15374 Muencheberg, Germany

[3] Univ Potsdam, Inst Earth & Environm Sci, D-14476 Potsdam, Germany

[4] Univ Canterbury, Dept Math & Stat, Christchurch 1, New Zealand

来源：

ECOLOGICAL INFORMATICS | 2011年 / 6卷 / 02期

关键词：

Landscape structure; DEM; Fourier transformation; Wavelet transformation; Singular value decomposition; SAMT; AGRICULTURAL LANDSCAPES; AERIAL PHOTOGRAPHS; TERRAIN-ANALYSIS; TILLAGE EROSION; CLASSIFICATION; DECOMPOSITION; GENESIS; FORMS; SCALE;

D O I：

10.1016/j.ecoinf.2010.09.002

中图分类号：

Q14 [生态学（生物生态学）];

学科分类号：

071012 ; 0713 ;

摘要：

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. (C) 2010 Elsevier B.V. All rights reserved.

引用

页码：164 / 169

页数：6

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