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Remote Sens. 2015, 7(8), 9563-9586; doi:10.3390/rs70809563

Multisensoral Topsoil Mapping in the Semiarid Lake Manyara Region, Northern Tanzania

1
Institute of Geography, University of Tuebingen, Ruemelinstr. 19-23, 72070 Tuebingen, Germany
2
Heidelberg Academy of Sciences and Humanities, Ruemelinstr. 19-23, 72070 Tuebingen, Germany
3
Earth Science Department, University of Florence, Via G. La Pira, 50121 Florence, Italy
*
Author to whom correspondence should be addressed.
Academic Editors: Nicolas Baghdadi and Prasad S. Thenkabail
Received: 21 May 2015 / Revised: 19 July 2015 / Accepted: 20 July 2015 / Published: 28 July 2015
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Abstract

This study pursues the mapping of the distribution of topsoils and surface substrates of the Lake Manyara area of northern Tanzania. The nine soil and lithological target classes were selected through fieldwork and laboratory analysis of soil samples. High-resolution WorldView-2 data, TerraSAR-X intensity data, medium-resolution ASTER spectral bands and indices, as well as ENVISAT ASAR intensity and SRTM-X-derived topographic parameters served as input features. Objects were derived from image segmentation. The classification of the image objects was conducted applying a nonlinear support vector machine approach. With the recursive feature elimination approach, the most input-relevant features for separating the target classes were selected. Despite multiple target classes, an overall accuracy of 71.9% was achieved. Inaccuracies occurred between classes with high CaCO3 content and between classes of silica-rich substrates. The incorporation of different input feature datasets improved the classification accuracy. An in-depth interpretation of the classification result was conducted with three soil profile transects. View Full-Text
Keywords: topsoil mapping; ASTER; SAR; WorldView-2; topographical indices; multisensoral; SVM; multiscale topsoil mapping; ASTER; SAR; WorldView-2; topographical indices; multisensoral; SVM; multiscale
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Bachofer, F.; Quénéhervé, G.; Hochschild, V.; Maerker, M. Multisensoral Topsoil Mapping in the Semiarid Lake Manyara Region, Northern Tanzania. Remote Sens. 2015, 7, 9563-9586.

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