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Modelling the distribution of palsas in Finnish Lapland with logistic regression and GIS

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  • Miska Luoto
  • Matti Seppälä

Abstract

The location of palsas (peat mounds with a perennially frozen core) was mapped in an area of 3370 km2 in Finnish Lapland by interpreting aerial digital photographs. Using environmental variables derived from digital land cover data and an elevation model, the distribution of palsas was modelled using geographic information system (GIS) techniques and multiple logistic regression. The relative roles of eight environmental variables potentially affecting the distribution of the palsas were studied in a spatial grid system with 3370 grid squares of 1.0 km2, of which 172 were found to contain palsas. The altitudes of the palsas varied from 180 m to 390 m. In the logistic regression model the probability of the presence of a palsa in a 1.0 km2 square increased with 1) the area of mire, 2) the proportion of flat topography, 3) water cover and 4) elevation of the lowest point in the 1.0 km2 analysis square. The palsa distribution model was validated by fitting it to an independent test area of 300 squares bordering on the main study area: the overall classification rate was 97.67%. The application of GIS data and techniques with logistic regression modelling has potential for wide use in studies on distribution patterns in periglacial processes and landforms. Copyright © 2002 John Wiley & Sons, Ltd.

Suggested Citation

  • Miska Luoto & Matti Seppälä, 2002. "Modelling the distribution of palsas in Finnish Lapland with logistic regression and GIS," Permafrost and Periglacial Processes, John Wiley & Sons, vol. 13(1), pages 17-28, March.
    • Handle: RePEc:wly:perpro:v:13:y:2002:i:1:p:17-28
    DOI: 10.1002/ppp.404
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