Landscape Element Classification Based on Remote Sensing and GIS Data

Steinwendner, J. (2003). Landscape Element Classification Based on Remote Sensing and GIS Data. IIASA Interim Report. IIASA, Laxenburg, Austria: IR-03-030

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Abstract

IIASA's Forestry activities within the SIBERIA II study follow two directions: first, to provide input data to both global biosphere process models and a landscape based regional model, and second, to update and consolidate the database of environmental data for the Siberian area.

For the landscape-based regional model, a landscape element classification is suggested. In the past, the landscape element classification has been performed using cartographic information of soil, vegetation, relief, climatic zones, tectonics, etc., following the Russian landscape concept of Gudilin(1987). This approach however, does not take into account the temporal variability of the various input datasets, including vegetation and land use change. This study provides an alternative to the traditional form of landscape determination.

The study examined the theoretical and practical aspects of landscape element classification based mainly on remote sensing data supplemented with GIS data following the concept of Gudilin and comparing it to other approaches (Forman and Gordon, 1986, and graph-based methods).

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