An investigation into the factors influencing the detectability of oil spills using spectral indices in an oil-polluted environment
An investigation into the factors influencing the detectability of oil spills using spectral indices in an oil-polluted environment
The aim of the paper is to investigate and test the influence of volume of oil spill and time gap (between the oil spill events and image acquisition dates) on spectral indices (i.e. normalized difference vegetation index (NDVI) and normalized difference water index (NDWI)). This was done in order to determine the changes in vegetation condition affected by oil spill. Based on regression analysis it was shown that increase in the volume of oil spill resulted in increased deterioration of vegetation condition (estimated using NDVI and NDWI) in the study site. The study also tested how the length of time gap between the oil spill and image acquisition date influences detectability of impacts of oil spill on vegetation. The results showed that the length of time between image acquisition and oil spill influenced the detectability of impacts of oil spill on vegetation condition. The longer the time between the date of image acquisition and the oil spill event, the lower the detectability of impacts of oil spill on vegetation condition. The NDVI seemed to produce better results that the NDWI. In conclusion, time and volume of oil spill can be important factors influencing detection of pollution using vegetation indices in an oil-polluted environment.
2338-2357
Adamu, Bashir
2cdf36a9-7e18-4ed4-94a9-a21d1fb348f4
Tansey, Kevin
a363e5c7-b369-415d-8c38-dcb871109198
Ogutu, Booker
4e36f1d2-f417-4274-8f9c-4470d4808746
2016
Adamu, Bashir
2cdf36a9-7e18-4ed4-94a9-a21d1fb348f4
Tansey, Kevin
a363e5c7-b369-415d-8c38-dcb871109198
Ogutu, Booker
4e36f1d2-f417-4274-8f9c-4470d4808746
Adamu, Bashir, Tansey, Kevin and Ogutu, Booker
(2016)
An investigation into the factors influencing the detectability of oil spills using spectral indices in an oil-polluted environment.
International Journal of Remote Sensing, 37 (10), .
(doi:10.1080/01431161.2016.1176271).
Abstract
The aim of the paper is to investigate and test the influence of volume of oil spill and time gap (between the oil spill events and image acquisition dates) on spectral indices (i.e. normalized difference vegetation index (NDVI) and normalized difference water index (NDWI)). This was done in order to determine the changes in vegetation condition affected by oil spill. Based on regression analysis it was shown that increase in the volume of oil spill resulted in increased deterioration of vegetation condition (estimated using NDVI and NDWI) in the study site. The study also tested how the length of time gap between the oil spill and image acquisition date influences detectability of impacts of oil spill on vegetation. The results showed that the length of time between image acquisition and oil spill influenced the detectability of impacts of oil spill on vegetation condition. The longer the time between the date of image acquisition and the oil spill event, the lower the detectability of impacts of oil spill on vegetation condition. The NDVI seemed to produce better results that the NDWI. In conclusion, time and volume of oil spill can be important factors influencing detection of pollution using vegetation indices in an oil-polluted environment.
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Submitted date: 2 October 2015
Accepted/In Press date: 25 March 2016
e-pub ahead of print date: 27 April 2016
Published date: 2016
Organisations:
Global Env Change & Earth Observation
Identifiers
Local EPrints ID: 390685
URI: http://eprints.soton.ac.uk/id/eprint/390685
ISSN: 0143-1161
PURE UUID: 62dcad1c-3c1b-4314-9dca-f9d7b9424351
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Date deposited: 06 Apr 2016 13:20
Last modified: 15 Mar 2024 03:33
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Author:
Bashir Adamu
Author:
Kevin Tansey
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