{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,22]],"date-time":"2026-10-22T17:11:48Z","timestamp":1792689108122,"version":"4.5.0"},"reference-count":65,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2017,12,30]],"date-time":"2017-12-30T00:00:00Z","timestamp":1514592000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>The technical aspects of oil spill remote sensing are examined and the practical uses and drawbacks of each technology are given with a focus on unfolding technology. The use of visible techniques is ubiquitous, but limited to certain observational conditions and simple applications. Infrared cameras offer some potential as oil spill sensors but have several limitations. Both techniques, although limited in capability, are widely used because of their increasing economy. The laser fluorosensor uniquely detects oil on substrates that include shoreline, water, soil, plants, ice, and snow. New commercial units have come out in the last few years. Radar detects calm areas on water and thus oil on water, because oil will reduce capillary waves on a water surface given moderate winds. Radar provides a unique option for wide area surveillance, all day or night and rainy\/cloudy weather. Satellite-carried radars with their frequent overpass and high spatial resolution make these day\u2013night and all-weather sensors essential for delineating both large spills and monitoring ship and platform oil discharges. Most strategic oil spill mapping is now being carried out using radar. Slick thickness measurements have been sought for many years. The operative technique at this time is the passive microwave. New techniques for calibration and verification have made these instruments more reliable.<\/jats:p>","DOI":"10.3390\/s18010091","type":"journal-article","created":{"date-parts":[[2018,1,3]],"date-time":"2018-01-03T12:00:06Z","timestamp":1514980806000},"page":"91","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":346,"title":["A Review of Oil Spill Remote Sensing"],"prefix":"10.3390","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4943-8535","authenticated-orcid":false,"given":"Merv","family":"Fingas","sequence":"first","affiliation":[{"name":"Spill Science, Edmonton, AB T6W 1J6, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Carl","family":"Brown","sequence":"additional","affiliation":[{"name":"Emergencies Science and Technology Section Environment and Climate Change Canada, Gatineau, QC K1A 0H3, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2017,12,30]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"5530","DOI":"10.1007\/s11356-016-8214-8","article-title":"Synergistic use of an oil drift model and remote sensing observations for oil spill monitoring","volume":"24","author":"Mossa","year":"2017","journal-title":"Environ. 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