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Proceedings Paper

Automated object detection of climate tracers in remote-sensing data
Author(s): Lucia Tyrallová
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Paper Abstract

Automated object detection in remote-sensing as well as the statistical analysis of morphometric object parameters are valuable tools in the field of (remote-sensing) geomorphology. Both help to identify processes that are directly related to climatic boundary conditions. The automated detection of primary climate-related landforms and the assessment of their change during three decades of remote sensing observations allow us to quantify and possibly find predictors for the consequences of climate variability on a regional. Our goal is to create approaches and concepts for a catalog-based object detection of landforms within a commercial GIS suite. Our intention is to transfer the workflow onto different climate-tracer landforms to enable operational use of the workflow beyond the conceptual level.

Paper Details

Date Published: 6 October 2011
PDF: 8 pages
Proc. SPIE 8174, Remote Sensing for Agriculture, Ecosystems, and Hydrology XIII, 81740I (6 October 2011); doi: 10.1117/12.898111
Show Author Affiliations
Lucia Tyrallová, Univ. Potsdam (Germany)

Published in SPIE Proceedings Vol. 8174:
Remote Sensing for Agriculture, Ecosystems, and Hydrology XIII
Christopher M. U. Neale; Antonino Maltese, Editor(s)

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