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Application of the automatic seep location estimator (ASLE) with the use of contextual information for estimating offshore oil seeps

  • Published:2017-01 Issue: Volume:5 Page:16-26
  • ISSN:2352-9385
  • Container-title:Remote Sensing Applications: Society and Environment
  • language:en
  • Short-container-title:Remote Sensing Applications: Society and Environment

Author:

Suresh Gopika,Melsheimer Christian,MacDonald Ian R.,Notholt Justus,Bohrmann Gerhard

Funder

MARUM – Center for Marine Environmental Sciences, University of Bremen

GLOMAR – Bremen International Graduate School for Marine Sciences

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geography, Planning and Development

Reference26 articles.

1. Oil spill detection by satellite remote sensing;Brekke;Remote Sens. Environ.,2005

2. Distinct side-scan sonar, RADARSAT SAR, and acoustic profiler signatures of gas and oil seeps on the Gulf of Mexico slope;De Beukelaer;Geo-Mar. Lett.,2003

3. The ERA-Interim reanalysis: configuration and performance of the data assimilation system;Dee;R. Meter. Soc.,2011

4. Neural networks for oil spill detection using ERS-SAR data;Del Frate;IEEE Trans. Geosci. Remote Sens.,2000

5. ECMWF, ECMWF ERA Interim Data.. Available online: 〈http://data-portal.ecmwf.int/data/d/interim_daily/〉.

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