Placing soil‐genesis and transport processes into a landscape context: A multiscale terrain‐analysis approach

Journal of Plant Nutrition and Soil Science - Tập 171 Số 3 - Trang 419-430 - 2008
Markus Möller1, Martin Völk2, Klaus G. Friedrich3, Leo Lymburner4
1Geoflux GbR, Paracelsusstr. 6, 06114 Halle (Saale), Germany
2UFZ—Helmholtz Centre for Environmental Research, Department of Computational Landscape Ecology, Permoserstr. 15, 04318 Leipzig, Germany
3Hessian Agency for the Environment and Geology (HLUG), Rheingaustr. 186, 65203 Wiesbaden, Germany
4Geosciences Australia, Remote Sensing & Strategy, Symonston, ACT, 2609, Australia

Tóm tắt

AbstractLandforms and landscape context are of particular importance in understanding the processes of soil genesis and soil formation in the spatial domain. Consequently, many approaches for soil generation are based on classifications of commonly available digital elevation models (DEM). However, their application is often restricted by the lack of transferability to other, more heterogeneous, landscapes. Part of the problem is the lack of broadly accepted definitions of topographic location based on landscape context. These issues arise because of: (1) the scale dependencies of landscape pattern and processes, (2) different DEM qualities, and (3) different expert perceptions. To address these problems, we suggest a hierarchical terrain‐classification procedure for defining landscape context. The classification algorithm described in this paper handles object detection and classification separately. Landscape objects are defined at multiple scales using a region‐based segmentation algorithm which allows each object to be placed into a hierarchical landscape context. The classification is carried out using the terrain attribute mass‐balance index across a range of scales. Soil genesis and transport processes at established field sites were used to guide the classification process. The method was tested in Saxony‐Anhalt (Germany), an area that contains heterogeneous land surfaces and soil substrates. The resulting maps represent adaptation degrees between classifications and 191 semantically identified random samples. The map with the best adaptation has an overall accuracy of 89%.

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Journal of Plant Nutrition and Soil Science

Tập 171 Số 3

419-430

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