Detection of oil pollution along the pipeline routes in tropical ecosystem from multi-spectral data

Bashir Adamu; Kevin Tansey; Booker Ogutu

doi:10.1117/12.2049590

22 May 2014 Detection of oil pollution along the pipeline routes in tropical ecosystem from multi-spectral data

Bashir Adamu, Kevin Tansey, Booker Ogutu

Author Affiliations +

Proceedings Volume 9121, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2014; 91210D (2014) https://doi.org/10.1117/12.2049590
Event: SPIE Sensing Technology + Applications, 2014, Baltimore, MD, United States

Abstract

The study was conducted in an oil producing environment dominated by mangrove and swamp vegetation in Niger Delta, Nigeria. Ancillary data including oil pipeline map and GPS of spill points were used in selecting sample sites to identify and detect polluted locations. A number of polluted and non-polluted sites were selected and vegetation spectral reflectance and indices for these sample sites were extracted from TM data of January and December 1986. A statistical T-test was used to test for significant differences between vegetation spectral reflectance and indices from polluted and non-polluted sites. The initial results from the analysis of spectral reflectance between polluted and non-polluted did not show any significant difference in all the six spectral bands with p-value <0.005. The results from analysis of various vegetation indices some did not show any significance differences between the polluted and non-polluted sites (e.g. the SRI, SAVI and EVI2). Other VIs (NDVI, MSAVI2 and ARVI2) showed significant differences between the polluted and non-polluted sites. From these preliminary results we can conclude that pollution from oil spills may result to the changes in leaf biochemistry of the Mangroves in the Niger Delta which are detectable from remote sensing data. Future work will focus on undertaking further temporal analysis of additional spill sites to determine what quantity of spilt oil arises in spectral changes of vegetation.

Citation Download Citation

Bashir Adamu, Kevin Tansey, and Booker Ogutu "Detection of oil pollution along the pipeline routes in tropical ecosystem from multi-spectral data", Proc. SPIE 9121, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2014, 91210D (22 May 2014); https://doi.org/10.1117/12.2049590

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE