Yague-Martinez N.,Starlab Barcelona SL. |
Eineder M.,Remote Sensing Technology Institute |
Eineder M.,TU Munich |
Cong X.Y.,TU Munich |
Minet C.,Remote Sensing Technology Institute
IEEE Geoscience and Remote Sensing Letters | Year: 2012
Japan was struck by an M9.0 megathrust earthquake on March 11, 2011. Synthetic aperture radar (SAR) images from the TerraSAR-X satellite have been used to generate a ground motion map by means of correlation techniques. Geophysical corrections due to solid Earth tide and atmospheric path delay effects have been applied. These corrections can reach up to 20 cm in the radar line of sight. Using this approach, absolute displacements in the radar line of sight and in the satellite flight direction are determined. This letter shows the potential of correlation techniques for ground motion monitoring and a comparison with the interferometric technique. Using multiple scenes, a wide area displacement map is generated and quantitatively compared with GPS data, showing a divergence of about 15 cm. © 2012 IEEE.
Hueni A.,University of Zürich |
Lenhard K.,Remote Sensing Technology Institute |
Baumgartner A.,Remote Sensing Technology Institute |
Schaepman M.E.,University of Zürich
IEEE Transactions on Geoscience and Remote Sensing | Year: 2013
The calibration of remote sensing instruments is a crucial step in the generation of products tied to international reference standards. Calibrating imaging spectrometers is particularly demanding due to the high number of spatiospectral pixels and, consequently, the large amount of data acquired during calibration sequences. Storage of these data and associated meta-data in an organized manner, as well as the provision of efficient tools for the data analysis and fast and repeatable calibration coefficient generation with provenance information, is key to the provision of traceable measurements. The airborne prism experiment (APEX) calibration information system is a multilayered information technology solution comprising a database based on the entity-attribute-value (EAV) paradigm and software written in Java and Matlab, providing data access, visualization and processing, and handling the data volumes over the expected lifetime of the system. Although developed in the context of APEX, the system is rather generic and may be adapted to other pushbroom-based imagers with little effort. © 1980-2012 IEEE.