Geometric Accuracy Assessment of Msg-seviri Level 1.5 Imagery

نویسندگان

  • Sultan Kocaman Aksakal
  • Emmanuel Baltsavias
  • Konrad Schindler
چکیده

The geometric accuracy of the images acquired by the SEVIRI (Spinning Enhanced Visible and InfraRed Imager) instrument aboard the European geostationary satellites Meteosat-8 (formerly MSG-1) and Meteosat-9 (formerly MSG-2) has been investigated in this study. Level 1.5 image data of the High-Resolution Visible (HRV) band with 1-km Ground Sample Distance (GSD) and several multispectral (MS) bands with 3-km GSD at sub-satellite point have been provided by the Swiss GCOS Office at MeteoSwiss. A set of fully automated processing methods has been adopted, developed and implemented for the evaluation of relative and absolute accuracy of the HRV images and band-to-band registration (BBR) accuracy between the HRV and 6 MS channels. Details of the relative and absolute accuracy evaluation methods and the results have been published in Aksakal (2013) and Aksakal et al. (2013) and briefly given in this paper. The methodology for the assessment of BBR accuracy and the results are provided first time here. SEVIRI images acquired in 2008 have been analyzed and relative and absolute shifts of up to 10 pixels have been observed in the images which were acquired from Meteosat-8. The BBR errors are found within the specifications given by EUMETSAT.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Analysis of the Geometric Accuracy of Msg-seviri Imagery for Estimation of Climate Variables

The geometric accuracy of the images acquired by the SEVIRI instrument aboard the European geostationary satellites MSG-1 and MSG-2 has been investigated in this study. Level 1.5 image data of the High-Resolution Visible (HRV) band with 1-km GSD and several multispectral bands with 3km GSD at sub-satellite point have been provided by the Swiss GCOS Office at MeteoSwiss. A set of fully automated...

متن کامل

The Image Processing Facility for METEOSAT Second Generation

The first METEOSAT Second Generation satellite will come into service in 2001. It will acquire image data in 12 spectral channels with a total data volume of 265 Mbytes every 15 minutes. These data are received, processed, and distributed by the EUMETSAT Ground Segment in real-time. The Ground Segment architecture is composed of blocks of grouped functionality called facilities. The Image Proce...

متن کامل

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

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 var...

متن کامل

Remote sensing of aerosols over the oceans using MSG/SEVIRI imagery

The SEVIRI instrument on board Meteosat Second Generation (MSG) offers new capabilities to monitor aerosol transport over the Atlantic and the Mediterranean at high temporal and spatial resolutions, in particular, Saharan dust from North Africa, biomass-burning aerosols from subtropical Africa and pollution from Europe. An inversion technique was developed to estimate both aerosol optical thick...

متن کامل

The Use of Msg-seviri for Rapid Detection of Security-related Events

New fields of application have been discovered for data acquired by geostationary satellite sensors, like MSG-SEVIRI (Meteosat Second Generation-Spinning Enhanced Visible and Infrared Imager), beyond their original meteorological and climatologic scopes. Unexpected MSG-SEVIRI potentials have been, for instance, revealed in different security-related applications. In fact, several accidents (e.g...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2013