Early Warning System for Oil Spill Using Sar Images

نویسنده

  • H. ASSILZADEH
چکیده

A successful combating operation to a marine oil spill is dependent on a rapid response from the time the oil spill is reported until it has been fully combated. In order to optimize the decision support capability of the surveillance system for oil spill contingency planning, a GIS database have been integrated with the detection tool. This paper demonstrate the parallel activities on remote sensing and GIS which can be done for solution of old age problem on oil spill. An automatic oil spill detection tool was established and information on the exact position and size of the oil spill then visualized in GIS environment. The system offer opportunities for integration of oil drift forecast models by prediction of wind and current influence on the oil spill for risk assessment.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Oil spill detection using in Sentinel-1 satellite images based on Deep learning concepts

Awareness of the marine area is very important for crisis management in the event of an accident. Oil spills are one of the main threats to the marine and coastal environments and seriously affect the marine ecosystem and cause political and environmental concerns because it seriously affects the fragile marine and coastal ecosystem. The rate of discharge of pollutants and its related effects o...

متن کامل

Detection of Oil near Shorelines during the Deepwater Horizon Oil Spill Using Synthetic Aperture Radar (SAR)

During any marine oil spill, floating oil slicks that reach shorelines threaten a wide array of coastal habitats. To assess the presence of oil near shorelines during the Deepwater Horizon (DWH) oil spill, we scanned the library of Synthetic Aperture Radar (SAR) imagery collected during the event to determine which images intersected shorelines and appeared to contain oil. In total, 715 SAR ima...

متن کامل

Dark Spot Detection from SAR Intensity Imagery with Spatial Density Thresholding for Oil Spill Monitoring

I hereby declare that I am the sole author of this thesis. This is a true copy of the thesis, including any required final revisions, as accepted by my examiners. I understand that my thesis may be made electronically available to the public. Abstract Since the 1980s, satellite-borne synthetic aperture radar (SAR) has been investigated for early warning and monitoring of marine oil spills to pe...

متن کامل

Comparison of Oil Spill Classifications Using Fully and Compact Polarimetric SAR Images

In this paper, we present a comparison between several algorithms for oil spill classifications using fully and compact polarimetric SAR images. Oil spill is considered as one of the most significant sources of marine pollution. As a major difficulty of SAR-based oil spill detection algorithms is the classification between mineral and biogenic oil, we focus on quantitatively analyzing and compa...

متن کامل

Monitoring of Crude Oil Spill off the West Coast of the Korean Peninsula Using Sar Images

The nation’s largest maritime oil spill occurred on the west coast of the Korean Peninsula on December 7, 2007. All civilian space-borne SAR sensors including TerraSAR-X, ENVISAT ASAR, RADARSAT-1, ERS-2 SAR, and ALOS PALSAR acquired imageries over the contaminated area. Dark patches observed in these SAR images revealed the presence of oil spills, and showed how wide the spilled area is and how...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2001