{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T04:23:22Z","timestamp":1760243002132,"version":"build-2065373602"},"reference-count":19,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2015,4,23]],"date-time":"2015-04-23T00:00:00Z","timestamp":1429747200000},"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":"<jats:p>The opacity of clouds is the main problem for optical and thermal space-borne sensors, like the Moderate-Resolution Imaging Spectroradiometer (MODIS). Especially during polar nighttime, the low thermal contrast between clouds and the underlying snow\/ice results in deficiencies of the MODIS cloud mask and affected products. There are different approaches to retrieve information about frequently cloud-covered areas, which often operate with large amounts of days aggregated into single composites for a long period of time. These approaches are well suited for static-nature, slow changing surface features (e.g., fast-ice extent). However, this is not applicable to fast-changing features, like sea-ice polynyas. Therefore, we developed a spatial feature reconstruction to derive information for cloud-covered sea-ice areas based on the surrounding days weighted directly proportional with their temporal proximity to the initial day of interest. Its performance is tested based on manually-screened and artificially cloud-covered case studies of MODIS-derived polynya area data for the polynya in the Brunt Ice Shelf region of Antarctica. On average, we are able to completely restore the artificially cloud-covered test areas with a spatial correlation of 0.83 and a mean absolute spatial deviation of 21%.<\/jats:p>","DOI":"10.3390\/rs70505042","type":"journal-article","created":{"date-parts":[[2015,4,23]],"date-time":"2015-04-23T11:40:29Z","timestamp":1429789229000},"page":"5042-5056","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":18,"title":["Spatial Feature Reconstruction of Cloud-Covered Areas in Daily MODIS Composites"],"prefix":"10.3390","volume":"7","author":[{"given":"Stephan","family":"Paul","sequence":"first","affiliation":[{"name":"Department of Environmental Meteorology, University of Trier, Behringstra\u00dfe 21, 54296 Trier, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2710-0699","authenticated-orcid":false,"given":"Sascha","family":"Willmes","sequence":"additional","affiliation":[{"name":"Department of Environmental Meteorology, University of Trier, Behringstra\u00dfe 21, 54296 Trier, Germany"}]},{"given":"Oliver","family":"Gutjahr","sequence":"additional","affiliation":[{"name":"Department of Environmental Meteorology, University of Trier, Behringstra\u00dfe 21, 54296 Trier, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0134-6890","authenticated-orcid":false,"given":"Andreas","family":"Preu\u00dfer","sequence":"additional","affiliation":[{"name":"Department of Environmental Meteorology, University of Trier, Behringstra\u00dfe 21, 54296 Trier, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4831-9016","authenticated-orcid":false,"given":"G\u00fcnther","family":"Heinemann","sequence":"additional","affiliation":[{"name":"Department of Environmental Meteorology, University of Trier, Behringstra\u00dfe 21, 54296 Trier, Germany"}]}],"member":"1968","published-online":{"date-parts":[[2015,4,23]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1057","DOI":"10.1175\/2008JTECHA1052.1","article-title":"Cloud Detection with MODIS. Part I: Improvements in the MODIS Cloud Mask for Collection 5","volume":"25","author":"Frey","year":"2008","journal-title":"J. Atmos. Oceanic Technol."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"181","DOI":"10.1016\/j.rse.2004.06.004","article-title":"Nighttime polar cloud detection with MODIS","volume":"92","author":"Liu","year":"2004","journal-title":"Remote Sens. Environ."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"D00A19","DOI":"10.1029\/2008JD009837","article-title":"Global Moderate Resolution Imaging Spectroradiometer MODIS cloud detection and height evaluation using CALIOP","volume":"113","author":"Holz","year":"2008","journal-title":"J. Geophys. Res."},{"key":"ref_4","unstructured":"Riggs, G., Hall, D., and Salomonson, V. (2006). 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Soc."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/7\/5\/5042\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T20:45:12Z","timestamp":1760215512000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/7\/5\/5042"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,4,23]]},"references-count":19,"journal-issue":{"issue":"5","published-online":{"date-parts":[[2015,5]]}},"alternative-id":["rs70505042"],"URL":"https:\/\/doi.org\/10.3390\/rs70505042","relation":{},"ISSN":["2072-4292"],"issn-type":[{"type":"electronic","value":"2072-4292"}],"subject":[],"published":{"date-parts":[[2015,4,23]]}}}