{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,23]],"date-time":"2025-10-23T05:05:03Z","timestamp":1761195903848,"version":"build-2065373602"},"reference-count":26,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2013,5,17]],"date-time":"2013-05-17T00:00:00Z","timestamp":1368748800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>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.<\/jats:p>","DOI":"10.3390\/rs5052475","type":"journal-article","created":{"date-parts":[[2013,5,17]],"date-time":"2013-05-17T12:10:40Z","timestamp":1368792640000},"page":"2475-2491","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":22,"title":["Geometric Accuracy Investigations of SEVIRI High Resolution Visible (HRV) Level 1.5 Imagery"],"prefix":"10.3390","volume":"5","author":[{"given":"Sultan","family":"Aksakal","sequence":"first","affiliation":[{"name":"Institute of Geodesy and Photogrammetry, ETH Zurich, CH-8093 Zurich, Switzerland"}]}],"member":"1968","published-online":{"date-parts":[[2013,5,17]]},"reference":[{"key":"ref_1","unstructured":"GCOS Available online: http:\/\/www.wmo.int\/pages\/prog\/gcos\/."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"767","DOI":"10.3390\/rs3040767","article-title":"The role of satellite data within GCOS Switzerland","volume":"3","author":"Seiz","year":"2011","journal-title":"Remote Sens"},{"key":"ref_3","unstructured":"Swiss GCOS Office GCOS Satellite Component. Available online: http:\/\/www.meteoschweiz.admin.ch\/web\/en\/meteoswiss\/international_affairs\/gcos\/Satellites.html."},{"key":"ref_4","unstructured":"WMO (2011). Systematic Observation Requirements for Satellite-Based Products for Climate. Supplemental Details to the Satellite-Based Component of the Implementation Plan for the Global Observing System for Climate in Support of the UNFCCC (Update), WMO. GCOS-154;."},{"key":"ref_5","unstructured":"Arnold, G.T, Hubanks, P.A., Platnick, S., King, M.D., and Bennartz, R. (2010, January 26\u201328). Impact of Aqua Misregistration on MYD06 Cloud Retrieval Properties. Washington, DC, USA. Available online: http:\/\/modis.gsfc.nasa.gov\/sci_team\/meetings\/201001\/presentations\/posters\/atmos\/arnold.pdf."},{"key":"ref_6","unstructured":"Hanson, C.G., Mueller, J., Pili, P., Aminou, D.M.A., Jacquet, B., Bianchi, S., Coste, P., and Faure, F. (October, January 29). Meteosat Second Generation: SEVIRI Imaging Performance Results From The MSG-1 Commissioning Phase. Weimar, Germany."},{"key":"ref_7","unstructured":"Hanson, C., and Mueller, J (2004, January 9\u201310). Status of the SEVIRI Level 1.5 Data. Salzburg, Austria. Available online: http:\/\/earth.esa.int\/workshops\/msg_rao_2004\/papers\/4_hanson.pdf."},{"key":"ref_8","unstructured":"Gieske, A.S.M., Hendrikse, J.H.M., Retsios, V., van Leeuwen, B., Maathuis, B.H.P., Romaguera, M., Sobrino, J.A., and Timmermans, W.J. (2005, January 4\u20135). Processing of MSG-1 SEVIRI Data in the Thermal Infrared-Algorithm Development with the Use of the SPARC2004 Data Set. Enschede, The Netherlands."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"5821","DOI":"10.1080\/01431160902744829","article-title":"Deriving surface global irradiance over the Alpine region from Meteosat Second Generation by supplementing the HELIOSAT method","volume":"30","author":"Zelenka","year":"2009","journal-title":"Int. J. Remote Sens"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"9761","DOI":"10.5194\/acp-10-9761-2010","article-title":"A. Downscaling of METEOSAT SEVIRI 0.6 and 0.8 \u03bcm channel radiances utilizing the high-resolution visible channel","volume":"10","author":"Deneke","year":"2010","journal-title":"Atmos. Chem. Phys"},{"key":"ref_11","unstructured":"Aminou, D.M.A., Luhmann, H.J., Hanson, C., Pili, P., Jacquet, B., Bianchi, S., Coste, P., and Pasternak, F. (October, January 29). Meteosat Second Generation: A Comparison of On-Ground and On-Flight Imaging and Radiometric Performances of SEVIRI on MSG-1. Weimar, Germany."},{"key":"ref_12","unstructured":"EUMETSAT. MSG Level 1.5 Image Data Format Description. Available online: http:\/\/www.eumetsat.int\/groups\/ops\/documents\/document\/pdf_ten_05105_msg_img_data.pdf."},{"key":"ref_13","unstructured":"Just, D. (2000, January 17\u201319). SEVIRI Level 1.5 Data. Bologna, Italy."},{"key":"ref_14","unstructured":"EUMETSAT Available online: http:\/\/www.eumetsat.int\/groups\/ops\/documents\/document\/pdf_typ_geomet_acc_msg-1-2.pdf."},{"key":"ref_15","unstructured":"EUMETSAT Available online: http:\/\/www3.eumetsat.int\/website\/home\/Data\/ServiceStatus\/CentralOperationsReports\/index.html."},{"key":"ref_16","unstructured":"EUMETSAT Available online: http:\/\/www3.eumetsat.int\/website\/home\/Data\/ServiceStatus\/CentralOperationsReports\/index.html."},{"key":"ref_17","unstructured":"Python. Python Programming Language. Available online: http:\/\/www.python.org\/."},{"key":"ref_18","unstructured":"OpenCV. Available online: http:\/\/opencv.willowgarage.com\/wiki\/."},{"key":"ref_19","unstructured":"Shi, J., and Tomasi, C. (1994, January 21\u201323). Good Features to Track. Seattle, WA, USA."},{"key":"ref_20","unstructured":"Lucas, B., and Kanade, T (1981, January 24\u201328). An Iterative Image Registration Technique with an Application to Stereo Vision. Vancouver, BC, Canada."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"8741","DOI":"10.1029\/96JB00104","article-title":"A global, self-consistent, hierarchical, high-resolution shoreline database","volume":"101","author":"Wessel","year":"1996","journal-title":"J. Geophys. Res"},{"key":"ref_22","unstructured":"Swisstopo. Landsat Mosaic. Available online: http:\/\/www.swisstopo.admin.ch\/internet\/swisstopo\/en\/home\/products\/images\/ortho\/landsat.html."},{"key":"ref_23","unstructured":"Global Land Survey (GLS) USGS. Available online: http:\/\/eros.usgs.gov\/#\/Find_Data\/Products_and_Data_Available\/GLS."},{"key":"ref_24","unstructured":"Coordination Group for Meteorological Satellites (CGMS) Available online: http:\/\/www.eumetsat.int\/groups\/cps\/documents\/document\/pdf_cgms_03.pdf."},{"key":"ref_25","unstructured":"EUMETSAT Navigation Software for Meteosat-9 (MSG)-Level 1.5 VIS\/IR\/HRV Data. Available online: http:\/\/www.eumetsat.int\/Home\/Main\/DataAccess\/SupportSoftwareTools\/index.htm."},{"key":"ref_26","unstructured":"Median Absolute Deviation. Wikipedia. Available online: http:\/\/en.wikipedia.org\/wiki\/Median_absolute_deviation."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/5\/5\/2475\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T21:46:48Z","timestamp":1760219208000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/5\/5\/2475"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013,5,17]]},"references-count":26,"journal-issue":{"issue":"5","published-online":{"date-parts":[[2013,5]]}},"alternative-id":["rs5052475"],"URL":"https:\/\/doi.org\/10.3390\/rs5052475","relation":{},"ISSN":["2072-4292"],"issn-type":[{"type":"electronic","value":"2072-4292"}],"subject":[],"published":{"date-parts":[[2013,5,17]]}}}