{"title":"Application of remote sensing data for oil spill monitoring in the Guanabara Bay, Rio de Janeiro, Brazil","authors":"C. Bentz, F. Pellon de Miranda","doi":"10.1109/IGARSS.2001.976149","DOIUrl":null,"url":null,"abstract":"This paper describes the application of remote sensing data for oil spill monitoring in the Guanabara Bay, Rio de Janeiro, Brazil. During the emergency, Landsat-5/TM (Thematic Mapper) and Radarsat-1 data were acquired to monitor the location of the spill and its movement. Image classification procedures have been utilized to highlight oil-covered areas on the water surface. Ambiguities in the oil detection were resolved with the aid of ancillary information in a GIS (geographic information system) environment. The results obtained helped PETROBRAS to optimize the emergency response procedures and subsequent cleaning efforts.","PeriodicalId":135740,"journal":{"name":"IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"25","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IGARSS.2001.976149","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 25
Abstract
This paper describes the application of remote sensing data for oil spill monitoring in the Guanabara Bay, Rio de Janeiro, Brazil. During the emergency, Landsat-5/TM (Thematic Mapper) and Radarsat-1 data were acquired to monitor the location of the spill and its movement. Image classification procedures have been utilized to highlight oil-covered areas on the water surface. Ambiguities in the oil detection were resolved with the aid of ancillary information in a GIS (geographic information system) environment. The results obtained helped PETROBRAS to optimize the emergency response procedures and subsequent cleaning efforts.