MARINE OIL SPILL POLLUTION DECISION SUPPORT SYSTEM USING NOVEL GEOSPATIAL AND ARTIFICIAL INTELLIGENCE MODELS

The inability to rapidly identify the location of the spill has resulted to various environmental consequences in the coastal ecosystem. Remote sensing technology has proven to be beneficial in the detection of marine oil spills. A major challenge with remote sensing remains the false positive detec...

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Main Author: YEKEEN, SHAMSUDEEN TEMITOPE
Format: Thesis
Language: English
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-utpedia.20688 /
Published: 2021
Subjects:
TA Engineering (General). Civil engineering (General)
Online Access: http://utpedia.utp.edu.my/20688/1/Shamsudeen%20Temitope%20Yekeen_18001318.pdf
http://utpedia.utp.edu.my/20688/
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spelling utp-utpedia.206882021-09-08T10:10:05Z http://utpedia.utp.edu.my/20688/ MARINE OIL SPILL POLLUTION DECISION SUPPORT SYSTEM USING NOVEL GEOSPATIAL AND ARTIFICIAL INTELLIGENCE MODELS YEKEEN, SHAMSUDEEN TEMITOPE TA Engineering (General). Civil engineering (General) The inability to rapidly identify the location of the spill has resulted to various environmental consequences in the coastal ecosystem. Remote sensing technology has proven to be beneficial in the detection of marine oil spills. A major challenge with remote sensing remains the false positive detection of non-oil slick as oil slick because of the similar visual attributes with the non-oil slick (lookalike) elements like low wind areas, natural films, wind front areas, etc. Also, a large percentage of oil spill effects on coastal ecosystems is linked to the unavailability of reliable Decision Support Systems (DSS) which can accurately delineate the vulnerable coastal resources for prompt intervention at different climatic seasons. 2021-01 Thesis NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/20688/1/Shamsudeen%20Temitope%20Yekeen_18001318.pdf YEKEEN, SHAMSUDEEN TEMITOPE (2021) MARINE OIL SPILL POLLUTION DECISION SUPPORT SYSTEM USING NOVEL GEOSPATIAL AND ARTIFICIAL INTELLIGENCE MODELS. Masters thesis, Universiti Teknologi PETRONAS.
institution Universiti Teknologi Petronas
collection UTPedia
language English
topic TA Engineering (General). Civil engineering (General)
spellingShingle TA Engineering (General). Civil engineering (General)
YEKEEN, SHAMSUDEEN TEMITOPE
MARINE OIL SPILL POLLUTION DECISION SUPPORT SYSTEM USING NOVEL GEOSPATIAL AND ARTIFICIAL INTELLIGENCE MODELS
description The inability to rapidly identify the location of the spill has resulted to various environmental consequences in the coastal ecosystem. Remote sensing technology has proven to be beneficial in the detection of marine oil spills. A major challenge with remote sensing remains the false positive detection of non-oil slick as oil slick because of the similar visual attributes with the non-oil slick (lookalike) elements like low wind areas, natural films, wind front areas, etc. Also, a large percentage of oil spill effects on coastal ecosystems is linked to the unavailability of reliable Decision Support Systems (DSS) which can accurately delineate the vulnerable coastal resources for prompt intervention at different climatic seasons.
format Thesis
author YEKEEN, SHAMSUDEEN TEMITOPE
author_sort YEKEEN, SHAMSUDEEN TEMITOPE
title MARINE OIL SPILL POLLUTION DECISION SUPPORT SYSTEM USING NOVEL GEOSPATIAL AND ARTIFICIAL INTELLIGENCE MODELS
title_short MARINE OIL SPILL POLLUTION DECISION SUPPORT SYSTEM USING NOVEL GEOSPATIAL AND ARTIFICIAL INTELLIGENCE MODELS
title_full MARINE OIL SPILL POLLUTION DECISION SUPPORT SYSTEM USING NOVEL GEOSPATIAL AND ARTIFICIAL INTELLIGENCE MODELS
title_fullStr MARINE OIL SPILL POLLUTION DECISION SUPPORT SYSTEM USING NOVEL GEOSPATIAL AND ARTIFICIAL INTELLIGENCE MODELS
title_full_unstemmed MARINE OIL SPILL POLLUTION DECISION SUPPORT SYSTEM USING NOVEL GEOSPATIAL AND ARTIFICIAL INTELLIGENCE MODELS
title_sort marine oil spill pollution decision support system using novel geospatial and artificial intelligence models
publishDate 2021
url http://utpedia.utp.edu.my/20688/1/Shamsudeen%20Temitope%20Yekeen_18001318.pdf
http://utpedia.utp.edu.my/20688/
_version_ 1741195653566955520
score 11.62408

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