Automated object detection of climate tracers in remote-sensing data

Lucia Tyrallová

doi:10.1117/12.898111

6 October 2011 Automated object detection of climate tracers in remote-sensing data

Lucia Tyrallová

Proceedings Volume 8174, Remote Sensing for Agriculture, Ecosystems, and Hydrology XIII; 81740I (2011) https://doi.org/10.1117/12.898111
Event: SPIE Remote Sensing, 2011, Prague, Czech Republic

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.

Citation Download Citation

Lucia Tyrallová "Automated object detection of climate tracers in remote-sensing data", Proc. SPIE 8174, Remote Sensing for Agriculture, Ecosystems, and Hydrology XIII, 81740I (6 October 2011); https://doi.org/10.1117/12.898111

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