Remote sensing for detection and monitoring of vegetation affected by oil spills

References

• Adamu, B., K. Tansey, and B. Ogutu. 2015. “Using Vegetation Spectral Indices to Detect Oil Pollution in the Niger Delta.” Remote Sensing Letters 6 (2): 145–154. doi:10.1080/2150704x.2015.1015656.
   Web of Science ®Google Scholar
• Adamu, B., K. Tansey, and B. Ogutu. 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): 2166–2185. doi:10.1080/01431161.2016.1176271.
   Web of Science ®Google Scholar
• Adoki, A. 2013. “Trends in Vegetation Cover Changes in Bonny Area of the Niger Delta.” Journal of Applied Sciences and Environmental Management 17 (1): 89–103.
   Google Scholar
• Agostini, P., C. Carlon, A. Critto, and A. Marcomini. 2007. “A Step toward Contaminated Megasite Management: Six European Experiences at Comparison.“Landfill Research Trends, edited by A. A. Velini. 47–73.
   Google Scholar
• Arellano, P., K. Tansey, H. Balzter, and D. S. Boyd. 2015. “Detecting the Effects of Hydrocarbon Pollution in the Amazon Forest Using Hyperspectral Satellite Images.” Environmental Pollution 205: 225–239. doi:10.1016/j.envpol.2015.05.041.
   PubMed Web of Science ®Google Scholar
• Ashton-Jones, N. 1998. The Human Ecosystems of the Niger Delta: An ERA Handbook. Benin-City, Nigeria: Environmental Rights Action.
   Google Scholar
• Brekke, C., and A. H. S. Solberg. 2005. “Oil Spill Detection by Satellite Remote Sensing.” Remote Sensing of Environment 95 (1): 1–13. doi:10.1016/j.rse.2004.11.015.
   Web of Science ®Google Scholar
• Carter, G. A. 1993. “Responses of Leaf Spectral Reflectance to Plant Stress.” American Journal of Botany 80 (3): 239–243. doi:10.2307/2445346.
   Web of Science ®Google Scholar
• Casciello, D., T. Lacava, N. Pergola, and V. Tramutoli. 2007. Robust Satellite Techniques (RST) for Oil Spill Detection and Monitoring. Paper Presented at the Analysis of Multi-Temporal Remote Sensing Images, 2007. MultiTemp 2007. International Workshop on the.
   Google Scholar
• Castell, C., J. Terradas, and J. D. Tenhunen. 1994. “Water Relations, Gas Exchange, and Growth of Resprouts and Mature Plant Shoots of Arbutus Unedo L. And Quercus Ilex L.” Oecologia 98 (2): 201–211. doi:10.1007/bf00341473.
   PubMed Web of Science ®Google Scholar
• Da Silva, H. V., C. K. Morooka, I. R. Guilherme, T. C. Da Fonseca, and J. R. P. Mendes. 2005. “Leak Detection in Petroleum Pipelines Using a Fuzzy System.” Journal of Petroleum Science and Engineering 49 (3): 223–238. doi:10.1016/j.petrol.2005.05.004.
   Web of Science ®Google Scholar
• Duke, N. C., and K. A. Burns. 1999. Fate and Effects of Oil and Dispersed Oil on Mangrove Ecosystems in Australia. Townsville, Australia: Australian Institute of Marine Science.
   Google Scholar
• Edjenekpo, L. E. 2015. “Employee Perception of Nigerian Content, Corporate Social Responsibility and Sustainability Issues in the Oil and Gas Equipment and Service Industry in the Niger Delta: 2010 and Beyond.” Corporate Social Responsibility and Sustainability Issues in the Oil and Gas Equipment and Service Industry in the Niger Delta. doi:10.2139/ssrn.2552934
   Google Scholar
• EEA. 2007. EEA Environmental Statement 2007. Copenhagen, Denmark: European Environment Agency
   Google Scholar
• Fingas, M. F., and C. E. Brown. 1997. “Review of Oil Spill Remote Sensing.” Spill Science & Technology Bulletin 4 (4): 199–208. doi:10.1016/S1353-2561(98)00023-1.
   Google Scholar
• Freedman, B. 1995. Environmental Ecology: The Ecological Effects of Pollution, Disturbance, and Other Stresses. San Diego: Academic Press.
   Google Scholar
• Gitelson, A. A., Y. J. Kaufman, and M. N. Merzlyak. 1996. “Use of a Green Channel in Remote Sensing of Global Vegetation from EOS-MODIS.” Remote Sensing of Environment 58 (3): 289–298. doi:10.1016/S0034-4257(96)00072-7.
   Web of Science ®Google Scholar
• Hausamann, D., W. Zirnig, and G. Schreier. 2003. Monitoring of Gas Transmission Pipelines–A Customer Driven Civil UAV Application. Paper presented at the ODAS Conference.
   Google Scholar
• Herrmann, I., A. Karnieli, D. J. Bonfil, Y. Cohen, and V. Alchanatis. 2010. “SWIR-based Spectral Indices for Assessing Nitrogen Content in Potato Fields.” International Journal of Remote Sensing 31 (19): 5127–5143. doi:10.1080/01431160903283892.
   Web of Science ®Google Scholar
• Hoff, R., P. Hensel, E. Proffitt, P. Delgado, G. Shigenaka, R. Yender, and A. J. Mearns. 2002. “Oil Spills in Mangroves. Planning & Response Considerations. National Oceanic and Atmospheric Administration (NOAA).” EUA. Technical Report.
   Google Scholar
• Huete, A. R. 1988. “A Soil-Adjusted Vegetation Index (SAVI).” Remote Sensing of Environment 25 (3): 295–309. doi:10.1016/0034-4257(88)90106-X.
   Web of Science ®Google Scholar
• Huete, A. R., G. Hua, J. Qi, A. Chehbouni, and W. J. D. Van Leeuwen. 1992. “Normalization of Multidirectional Red and NIR Reflectances with the SAVI.” Remote Sensing of Environment 41 (2–3): 143–154. doi:10.1016/0034-4257(92)90074-T.
   Web of Science ®Google Scholar
• Jha, M. N., J. Levy, and Y. Gao. 2008. “Advances in Remote Sensing for Oil Spill Disaster Management: State-Of-The-Art Sensors Technology for Oil Spill Surveillance.” Sensors 8 (1): 236–255. doi:10.3390/s8010236.
   PubMed Web of Science ®Google Scholar
• Karnieli, A., Y. J. Kaufman, L. Remer, and A. Wald. 2001. “AFRI — Aerosol Free Vegetation Index.” Remote Sensing of Environment 77: 10–21. doi:10.1016/S0034-4257(01)00190-0.
   Web of Science ®Google Scholar
• Kaufman, Y. J., and D. Tanre. 1992. “Atmospherically Resistant Vegetation Index (ARVI) for EOS-MODIS.” IEEE Transactions on Geoscience and Remote Sensing 30 (2): 261–270. doi:10.1109/36.134076.
   Web of Science ®Google Scholar
• Khanna, S., M. J. S. Susan, L. Ustin, A. Koltunov, R. F. Kokaly, and D. A. Roberts. 2013. “Detection of Salt Marsh Vegetation Stress and Recovery after the Deepwater Horizon Oil Spill in Barataria Bay, Gulf of Mexico Using AVIRIS Data.” PLoS One 8 (11): e78989. doi:10.1371/journal.pone.0078989.
   PubMed Web of Science ®Google Scholar
• Konne, B. R. 2014. “Inadequate Monitoring and Enforcement in the Nigerian Oil Industry: The Case of Shell and Ogoniland.” Cornell Int’l LJ 47: 181.
   Web of Science ®Google Scholar
• Lewis, R. R., 1983. “Impact of Oil Spills on Mangrove Forests.” In Biology and Ecology of Mangroves, edited by H. J. Teas, 8: 171–183. Dordrecht: Springer.
   Google Scholar
• Li, L., S. L. Ustin, and M. Lay. 2005. “Application of AVIRIS Data in Detection of Oil-Induced Vegetation Stress and Cover Change at Jornada, New Mexico.” Remote Sensing of Environment 94 (1): 1–16. doi:10.1016/j.rse.2004.08.010.
   Web of Science ®Google Scholar
• Lin, Q., I. A. Mendelssohn, M. T. Suidan, K. Lee, and A. D. Venosa. 2002. “The Dose-Response Relationship between No. 2 Fuel Oil and the Growth of the Salt Marsh Grass, Spartina Alterniflora.” Marine Pollution Bulletin 44 (9): 897–902. doi:10.1016/S0025-326X(02)00118-2.
   PubMed Web of Science ®Google Scholar
• Mishra, D. R., H. J. Cho, S. Ghosh, A. Fox, P. B. Christopher Downs, T. Merani, P. Kirui, N. Jackson, and S. Mishra. 2012. “Post-Spill State of the Marsh: Remote Estimation of the Ecological Impact of the Gulf of Mexico Oil Spill on Louisiana Salt Marshes.” Remote Sensing of Environment 118: 176–185. doi:10.1016/j.rse.2011.11.007.
   Web of Science ®Google Scholar
• Mmom, P. C., and S. B. Arokoyu. 2010. “Mangrove Forest Depletion, Biodiversity Loss and Traditional Resources Management Practices in the Niger Delta, Nigeria.” Research Journal of Applied Sciences, Engineering and Technology 2 (1): 28–34.
   Google Scholar
• Noomen, M. F. 2007. Hyperspectral Reflectance of Vegetation Affected by Underground Hydrocarbon Gas Seepage. The Netherlands: Enschede, Wageningen University.
   Google Scholar
• Noomen, M. F., and A. K. Skidmore. 2008. “The Effects of High Soil CO2 Concentrations on Leaf Reflectance of Maize Plants.” International Journal of Remote Sensing 30 (2): 481–497. doi:10.1080/01431160802339431.
   Web of Science ®Google Scholar
• Noomen, M. F., van der Werff, M. A. Herald, and F. D. van der Meer. 2012. “Spectral and Spatial 561 Indicators of Botanical Changes Caused by Log-Term Hydrocarbon Seepage.” Ecological 562 Informatics 5: 55–64. doi:10.1016/j.ecoinf.2012.01.001.
   Web of Science ®Google Scholar
• Oliveira, W. J. D., A. P. Crosta, and J. L. M. Goncalves. 1997. “Spectral Characteristics of Soils and Vegetation Affected by Hydrocarbon Gas: A Greenhouse Simulation of the Remanso Do Fogo Seepage.” Paper presented at the Twelfth International and Workshops on Applied geologic remote Sensing, Denver, CO.
   Google Scholar
• Pezeshki, S. R., M. W. Hester, Q. Lin, and J. A. Nyman. 2000. “The Effects of Oil Spill and Clean-Up on Dominant US Gulf Coast Marsh Macrophytes: A Review.” Environmental Pollution 108 (2): 129–139. doi:10.1016/S0269-7491(99)00244-4.
   PubMed Web of Science ®Google Scholar
• Rondeaux, G., M. Steven, and F. Baret. 1996. “Optimization of Soil-Adjusted Vegetation Indices.” Remote Sensing of Environment 55 (2): 95–107. doi:10.1016/0034-4257(95)00186-7.
   Web of Science ®Google Scholar
• Rouse, J. W. Jr., R. H. Haas, J. A. Schell, and D. W. Deering. 1973. “Monitoring the Vernal Advancement and Retrogradation (Green Wave Effect) of Natural Vegetation.” Progress Reports RSC 1978-1 93. Texas A & M University
   Google Scholar
• Running, S. W., C. O. Justice, V. Salomonson, J. Barker, D. Hall, Y. J. Kaufmann, A. H. Strahler, et al. 1994. “Terrestrial Remote Sensing Science and Algorithms Planned for EOS/MODIS.” International Journal of Remote Sensing 15 (17): 3587–3620. doi:10.1080/01431169408954346.
   Web of Science ®Google Scholar
• Schulze, E. D. 1986. “Carbon Dioxide and Water Vapor Exchange in Response to Drought in the Atmosphere and in the Soil.” Annual Review of Plant Physiology 37 (1): 247–274. doi:10.1146/annurev.pp.37.060186.001335.
   Google Scholar
• Schulze, E. D., E. Beck, and K. M. Hohenstein. 2005. “Environment as Stress Factor: Stress Physiology of Plants.” In Plant Ecology, 702. Berlin Heidelberg: Springer-Verlag.
   Google Scholar
• Simonich, S. L., and R. A. Hites. 1995. “Organic Pollutant Accumulation in Vegetation.” Environmental Science & Technology 29 (12): 2905–2914. doi:10.1021/es00012a004.
   PubMed Web of Science ®Google Scholar
• Singh, A. 1989. “Review Article Digital Change Detection Techniques Using Remotely-Sensed Data.” International Journal of Remote Sensing 10 (6): 989–1003. doi:10.1080/01431168908903939.
   Web of Science ®Google Scholar
• Slonecker, T., G. B. Fisher, D. P. Aiello, and B. Haack. 2010. “Visible and Infrared Remote Imaging of Hazardous Waste: A Review.” Remote Sensing 2 (11): 2474–2508. doi:10.3390/rs2112474.
   Web of Science ®Google Scholar
• Sripada, R. P., R. W. Heinigerb, J. G. Whitec, and A. D. Meijer. 2005. “Aerial Colour Infrared Photography for Determining Early In-Season Nitrogen Requirements in Corn.” Agronomy Journal 98 (4): 968–977. doi:10.2134/agronj2005.0200.
   Web of Science ®Google Scholar
• UNEP. 2011. “Environmental Assessment of Ogoniland.” UNEP Nairobi. Geneva, Switzerland: United Nations Environment Programme.
   Google Scholar
• Van Der Meer, F., M. Van Der Meijde, J. Kooistra, H. M. A. Van Der Werff, and M. F. Noomen. 2006. “Detection of Hazardous Gas Leakage from Pipelines Using Anomalous Spectral Reflectance Features of Vegetation.” In Global Developments in Environmental Earth Observation from Space: Proceedings of the 25th Symposium of the European Association of Remote Sensing Laboratories (Earsel), A. Marçal edited by. 6-11 June, 2005. Porto, Portugal: Rotterdam, Millpress.
   Google Scholar
• van der Meer, F., P. van Dijk, H. van der Werff, and H. Yang. 2002. “Remote Sensing and Petroleum Seepage: A Review and Case Study.” Terra Nova 14: 1–17. doi:10.1046/j.1365-3121.2002.00390.x.
   Web of Science ®Google Scholar
• van der Meijde, M., H. M. A. van der Werff, P. F. Jansma, F. D. van der Meer, and G. J. Groothuis. 2009. “A Spectral-Geophysical Approach for Detecting Pipeline Leakage.” International Journal of Applied Earth Observation and Geoinformation 11 (1): 77–82. doi:10.1016/j.jag.2008.08.002.
   Web of Science ®Google Scholar
• van der Werff, H., M. van der Meijde, F. Jansma, F. van der Meer, and G. J. Groothuis. 2008. “A Spatial-Spectral Approach for Visualization of Vegetation Stress Resulting from Pipeline Leakage.” Sensors 8 (6): 3733–3743. doi:10.3390/s8063733.
   PubMed Web of Science ®Google Scholar
• van der Werff, H. M. A., M. F. Noomen, M. van der Meijde, and F. D. van der Meer. 2007. “Remote Sensing of Onshore Hydrocarbon Seepage: Problems and Solutions.” Geological Society, London, Special Publications 283 (1): 125–133. doi:10.1144/sp283.11.
   Google Scholar
• Yang, H., F. V. D. Meer, J. Zhang, and S. B. Kroonenberg. 2000. “Direct Detection of Onshore Hydrocarbon Microseepages by Remote Sensing Techniques.” Remote Sensing Reviews 18 (1): 1–18. doi:10.1080/02757250009532381.
   Google Scholar
• Yim, U. H., S. Y. Ha, J. G. An, J. H. Won, G. M. Han, S. H. Hong, M. Kim, J. H. Jung, and W. J. Shim. 2011. “Fingerprint and Weathering Characteristics of Stranded Oils after the Hebei Spirit Oil Spill.” Journal of Hazardous Materials 197: 60–69. doi:10.1016/j.jhazmat.2011.09.055.
   PubMed Web of Science ®Google Scholar