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Remote Sens. 2013, 5(5), 2475-2491; doi:10.3390/rs5052475
Article

Geometric Accuracy Investigations of SEVIRI High Resolution Visible (HRV) Level 1.5 Imagery

Received: 31 March 2013; in revised form: 25 April 2013 / Accepted: 13 May 2013 / Published: 17 May 2013
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Abstract: GCOS (Global Climate Observing System) is a long-term program for monitoring the climate, detecting the changes, and assessing their impacts. Remote sensing techniques are being increasingly used for climate-related measurements. Imagery of the SEVIRI instrument on board of the European geostationary satellites Meteosat-8 and Meteosat-9 are often used for the estimation of essential climate variables. In a joint project between the Swiss GCOS Office and ETH Zurich, geometric accuracy and temporal stability of 1-km resolution HRV channel imagery of SEVIRI have been evaluated over Switzerland. A set of tools and algorithms has been developed for the investigations. Statistical analysis and blunder detection have been integrated in the process for robust evaluation. The relative accuracy is evaluated by tracking large numbers of feature points in consecutive HRV images taken at 15-minute intervals. For the absolute accuracy evaluation, lakes in Switzerland and surroundings are used as reference. 20 lakes digitized from Landsat orthophotos are transformed into HRV images and matched via 2D translation terms at sub-pixel level. The algorithms are tested using HRV images taken on 24 days in 2008 (2 days per month). The results show that 2D shifts that are up to 8 pixels are present both in relative and absolute terms.
Keywords: Meteosat; SEVIRI; geometric quality; relative accuracy; absolute accuracy; remote sensing; image processing; computer vision Meteosat; SEVIRI; geometric quality; relative accuracy; absolute accuracy; remote sensing; image processing; computer vision
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.

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MDPI and ACS Style

Aksakal, S.K. Geometric Accuracy Investigations of SEVIRI High Resolution Visible (HRV) Level 1.5 Imagery. Remote Sens. 2013, 5, 2475-2491.

AMA Style

Aksakal SK. Geometric Accuracy Investigations of SEVIRI High Resolution Visible (HRV) Level 1.5 Imagery. Remote Sensing. 2013; 5(5):2475-2491.

Chicago/Turabian Style

Aksakal, Sultan K. 2013. "Geometric Accuracy Investigations of SEVIRI High Resolution Visible (HRV) Level 1.5 Imagery." Remote Sens. 5, no. 5: 2475-2491.


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