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Link to original content: https://api.crossref.org/works/10.3390/RS70303293
{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,7,28]],"date-time":"2024-07-28T01:32:39Z","timestamp":1722130359747},"reference-count":16,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2015,3,23]],"date-time":"2015-03-23T00:00:00Z","timestamp":1427068800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"The geometric accuracy of 2008 AVHRR orthoimages from Metop-A, NOAA-17 and NOAA-18 satellites over Switzerland have been investigated here. The methods employed in the study are fully automated, with an accuracy of 0.1\u20130.2 pixels, however, blunders do occur and this requests a careful blunder detection approach. The investigations include analysis of relative, absolute and band-to-band registration (BBR) accuracy. Regarding relative accuracy, thousands of points are matched between Metop-A, NOAA-17 and NOAA-18 images of the same day. The accuracy is quite high with mean shifts between 0.2 and 0.4 pixels. Systematic stripes have been observed when NOAA-18 images are involved in matching. In spite of many efforts to find the source of this error, no explanation could be found. In addition, large shifts up to 2.9 pixels on some days between September and December 2008 were observed. Regarding absolute accuracy, digitized lakes as reference polygons have been used and a subpixel lake matching method has been applied. The mean shifts generally fulfilled EUMETSAT and GCOS specifications, although some partial results exceed them, especially for Metop-A. Regarding BBR accuracy, six multispectral bands have been compared, also with point matching. The EUMETSAT specification is 0.1 km, however, this specification refers to original images, not orthoimages. Taking also into account the matching errors of 0.1 km, the EUMETSAT specifications are in principle fulfilled in all cases except matching of Metop-A and NOAA-17 Band-2 images with Bands 4 and 5. The overall work showed that although, in general, accuracies are high and fulfill specifications, errors exceeding the specifications can occur and vary depending on the satellite used, time and location. Such errors influence subsequent geometric or thematic processing; thus, an automated and permanent quality control of such images should be executed.<\/jats:p>","DOI":"10.3390\/rs70303293","type":"journal-article","created":{"date-parts":[[2015,3,23]],"date-time":"2015-03-23T16:17:00Z","timestamp":1427127420000},"page":"3293-3319","source":"Crossref","is-referenced-by-count":8,"title":["Geometric Quality Analysis of AVHRR Orthoimages"],"prefix":"10.3390","volume":"7","author":[{"ORCID":"http:\/\/orcid.org\/0000-0002-2775-7914","authenticated-orcid":false,"given":"Sultan","family":"Aksakal","sequence":"first","affiliation":[{"name":"Department of Geomatics Engineering, Hacettepe University, Ankara 06800, Turkey"}]},{"given":"Christoph","family":"Neuhaus","sequence":"additional","affiliation":[{"name":"Department of Geography, University of Bern, CH-3012 Bern, Switzerland"}]},{"given":"Emmanuel","family":"Baltsavias","sequence":"additional","affiliation":[{"name":"ETH Zurich, Institute of Geodesy and Photogrammetry, CH-8093 Zurich, Switzerland"}]},{"ORCID":"http:\/\/orcid.org\/0000-0002-3172-9246","authenticated-orcid":false,"given":"Konrad","family":"Schindler","sequence":"additional","affiliation":[{"name":"ETH Zurich, Institute of Geodesy and Photogrammetry, CH-8093 Zurich, Switzerland"}]}],"member":"1968","published-online":{"date-parts":[[2015,3,23]]},"reference":[{"key":"ref_1","unstructured":"Seiz, G., and Foppa, N. National Climate Observing System (GCOS Switzerland). Available online: http:\/\/www.gcos.ch."},{"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":"Global Climate Observing System (GCOS). Available online: http:\/\/www.wmo.int\/pages\/prog\/gcos\/."},{"key":"ref_4","unstructured":"World Meteorological Organization (WMO) Systematic Observation Requirements for Satellite-based Products for Climate. Available online: http:\/\/www.wmo.int\/pages\/prog\/gcos\/Publications\/gcos-107.pdf."},{"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. Proceeding of MODIS Science Team Meeting, Washington, DC, USA."},{"key":"ref_6","unstructured":"EUMETSAT AVHRR Level 1b Product Guide. Available online: http:\/\/oiswww.eumetsat.org\/WEBOPS\/eps-pg\/AVHRR\/AVHRR-PG-0TOC.htm."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"2475","DOI":"10.3390\/rs5052475","article-title":"Geometric accuracy investigations of SEVIRI HRV Level 1.5 imagery","volume":"5","year":"2013","journal-title":"Remote Sens."},{"key":"ref_8","unstructured":"Kocaman Aksakal, S., Baltsavias, E., and Schindler, K. (2013, January 20\u201324). Analysis of the geometric accuracy of MSG-SEVIRI imagery with focus on estimation of climate variables. Proceeding of 34th Asian Conference on Remote Sensing, Bali, Indonesia."},{"key":"ref_9","unstructured":"Kocaman Aksakal, S., Baltsavias, E., and Schindler, K. Geometric Accuracy Assessment of MSG-SEVIRI Level 1.5 Imagery. Available online: http:\/\/www.igp.ethz.ch\/photogrammetry\/publications\/pdf_folder\/KocamanEUMETSAT-AMS_13.pdf."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"2150","DOI":"10.1109\/TGRS.2009.2034974","article-title":"Achieving subpixel georeferencing accuracy in the Canadian AVHRR processing system","volume":"48","author":"Khlopenkov","year":"2010","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_11","unstructured":"NOAA Advanced Very High Resolution Radiometer\u2014AVHRR, Available online: http:\/\/noaasis.noaa.gov\/NOAASIS\/ml\/avhrr.html."},{"key":"ref_12","unstructured":"Lucas, B., and Kanade, T. (1981, January 24\u201328). An iterative image registration technique with an application to stereo vision. Proceedings of 7th International Joint Conference on Artificial Intelligence (IJCAI), Vancouver, BC, Canada."},{"key":"ref_13","unstructured":"OpenCV. Available online: http:\/\/opencv.org\/."},{"key":"ref_14","unstructured":"Python Imaging Library. Available online: https:\/\/pypi.python.org\/pypi\/PIL."},{"key":"ref_15","unstructured":"Wallis, R. (1976, January 10\u201312). An approach to the space variant restoration and enhancement of images. Proceedings of Symp. on Current Mathematical Problems in Image Science, Naval Postgraduate School, Monterey, CA, USA."},{"key":"ref_16","unstructured":"Lanaras, C., Baltsavias, E., and Schindler, K. (2014, January 27\u201331). A comparison and combination of methods for co-registration of multi-modal images. Proceedings of 35th Asian Conference on Remote Sensing, Nay Pyi Taw, Myanmar."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/7\/3\/3293\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,3]],"date-time":"2024-06-03T05:23:15Z","timestamp":1717392195000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/7\/3\/3293"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,3,23]]},"references-count":16,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2015,3]]}},"alternative-id":["rs70303293"],"URL":"http:\/\/dx.doi.org\/10.3390\/rs70303293","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015,3,23]]}}}