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ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume V-3-2022
https://doi.org/10.5194/isprs-annals-V-3-2022-107-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/isprs-annals-V-3-2022-107-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
17 May 2022
| 17 May 2022
PSDEFOPAT – TOWARDS AUTOMATIC MODEL BASED PSI POST-PROCESSING
M. Evers
Fraunhofer IOSB, Gutleuthausstraße 1, 76275 Ettlingen, Germany
Karlsruhe Institute of Technology, Kaiserstraße 12, 76131 Karlsruhe, Germany
A. Thiele
Fraunhofer IOSB, Gutleuthausstraße 1, 76275 Ettlingen, Germany
Karlsruhe Institute of Technology, Kaiserstraße 12, 76131 Karlsruhe, Germany
H. Hammer
Fraunhofer IOSB, Gutleuthausstraße 1, 76275 Ettlingen, Germany
S. Hinz
Karlsruhe Institute of Technology, Kaiserstraße 12, 76131 Karlsruhe, Germany
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Short summary
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Short summary
Short summary
This work aims at deriving high spatially resolved maps of atmospheric water vapor by the fusion data from Interferometric Synthetic Aperture Radar (InSAR), Global Navigation Satellite Systems (GNSS), and the Weather Research and Forecasting (WRF) model. The data fusion approach exploits the redundant and complementary spatial properties of all data sets to provide more accurate and high-resolution maps of water vapor. The comparison with maps from MERIS shows rms values of less than 1 mm.
The International Society for Photogrammetry and Remote Sensing is a non-governmental organization devoted to the development of international cooperation for the advancement of photogrammetry and remote sensing and their applications. The Society operates without any discrimination on grounds of race, religion, nationality, or political philosophy.
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