Modelling the distribution of organic carbon stocks in floodplain soils with VHSR remote sensing data and additional geoinformation

摘要

Floodplain soils play a crucial role when storing carbon; but there are few data on the carbon stocks in these soils compared to other terrestrial ecosystems. There is still no scientific basis for the generation of large scale soil maps showing the distribution of organic carbons in floodplain soils which are based on remote sensing and additional data. The research area is the Donauauen National Park in Austria. In a first approach the variables water regime, the vegetation, the relief position and the content of clay and iron oxides were identified to have an effect on the carbon content. In this paper, an overview of the modelling approach will be presented. The classification of vegetation parameters such as vegetation type, age, density of trees per hectare, a combination of pixel and object-based classifications shall be explained and discussed in detail. The results will be integrated into a rule-based classification process, using fuzzy logic to integrate additional data and expert knowledge into the spectral classification.