The environmental impacts caused by frequent oil spills along the Congolese coast pose a significant concern. The main objective of this work is to study the dynamics of coastal pollution due to hydrocarbons using hyperspectral images in the Madingo-Kayes area, located in the Kouilou department in the southwest of the Republic of Congo. To achieve this, two multi-temporal Hyperion hyperspectral datasets, acquired by the EO-1 satellite on February 18, 2014, and December 30, 2016, respectively, were retrieved from the USGS database. These images were then analyzed and processed using ENVI 5.0 and QGIS 3.16 software to detect and map surface hydrocarbon indicators in the study area using three methods. The first method is based on the calculation of sub-band ratios in the absorption wavelength ranges of hydrocarbons (1700 - 1800 and 2300 - 2350 nm). The HD ratio detected 443 hydrocarbon indicators in the 2014 Hyperion image, while 629 indicators were detected in the 2016 image. The HI ratio detected 155 indicators in 2014, compared to 133 in 2016. The second method is the SAM classification, based on prototype hydrocarbon absorption signatures. It detected 387 indicators in the 2014 image and 73 in the 2016 image. The third method is the SSM classification, based on vegetation stress signatures caused by hydrocarbons within the 680–740 nm wavelength range. It detected 168 hydrocarbon-related indicators in vegetation in 2014 and 18 in 2016.
EITI CONGO (2018) Extractive Industries Transparency Initiative. Report.
APEGG (2006) Assessment of the Burden of Environmental Diseases on the Congolese Coast (Pointe-Noire, Congo). Study Report. https://www.cesbc.org/developpement_durable/environnement/kouilou/textes/rapport_evaluation_maladie.pdf
World Bank (2012) Republic of Congo, Mining Sector Review. Mining, Oil and Gas Department.
CPIB (2009) Emergency Response Plan for Oil Pollution (PNUI), Revised 2009. Updated in Accordance with the Recommendations of the 2006, 2007 and 2009 Workshops. Ministry of Transport, Civil Aviation and Merchant Shipping, Deputy Minister for Merchant Shipping.
APEGG (2005) Environmental Assessment of Oil Pollution on the Kouilou Coast (Congo). Study Report. https://www.cesbc.org/developpement_durable/environnement/kouilou/textes/rapport_d_expertise_allemande.pdf
Bawatokobuta Nanitelamio, A.M. (2020) Contribution of Remote Sensing to the Analysis of the Potential Effects of Hydrocarbon Exploitation along the Congolese Coast: Use of Hyperion EO-1 Hyperspectral Images. Master’s Thesis, Marien Ngouabi University.
Konan, K.E. and Nziengui, H.S.J. (2022) Remote Sensing Assessment of Marine Oil Pollution in Gabon from 2015 to 2017: The Case of Port-Gentil and Mayumba. Revue de l ’ environnement et de la biodiversité , 7, 1-20.
Najoui, Z., Amoussou, N., Riazanoff, S., Aurel, G. and Frappart, F. (2022) Oil Slicks in the Gulf of Guinea—10 Years of Envisat Advanced Synthetic Aperture Radar Observations. Earth System Science Data , 14, 4569-4588. https://doi.org/10.5194/essd-14-4569-2022
Edou, M. (2002) Impact of Oil Exploitation on the Environment: The Case of the Emeraude Field in Congo Brazzaville. Geo - Eco - Top , 26, 57-72.
Pabou Mbaki, E. (2003) The Congo Defenseless against Oil Pollution. Vertigo, Regards/Terrain. https://doi.org/10.4000/vertigo.4856
RPDH and CJP (2009) Oil Exploitation and Human Rights in Congo Brazzaville. Report, 5p+Annexes.
ITOPF (2013) Effects of Oil Pollution on the Environment. Technical Information Guide. https://itopf.org/knowledge-resources/documents-guides/tip-13-effects-of-oil-pollution-on-the-marine-environment/
Kimbatsa, F.G., Boungou, G. and Ngouma, D. (2016) Artisanal Fishing in Madingo-Kayes: Between Subsistence and Commercial Endeavours. Caribbean Studies. https://doi.org/10.4000/etudescaribeennes.10391
Khan, S., Rahman, S., Haq, M. and Munir, S. (2016) Hyperspectral Remote Sensing for the Detection of Natural Hydrocarbon Seeps. Asian Journal of Multidisciplinary Studies , 4, 1-10.
Smejkalová, E., Bujok, P. and Pikl, M. (2017) Study of Old Ecological Hazards, Oil Seeps and Contaminations Using Earth Observation Methods—Spectral Library for Oil Seep. Archives of Environmental Protection , 43, 3-10. https://doi.org/10.1515/aep-2017-0001
Khanna, S., Santos, M.J., Ustin, S.L., Shapiro, K., Haverkamp, P.J. & Et Lay, M. (2018) Comparing the Potential of Multispectral and Hyperspectral for Monitoring Oil Spill Impact. Sensors ,18, Article No. 558 https://doi.org/10.3390/s18020558
Ranarison, F.J.M.V. (2019) Detection of Surface Hydrocarbon Indices from Hyperion Data: Case of Block 3102 in the Southern Sector of Bemolanga. Master II Thesis in Geological Engineering, University of Antananarivo.
Chen, C., Jiang, Q., Zhang, Z., Shi, P., Xu, Y., Liu, B., et al . (2020) Hyperspectral Inversion of Petroleum Hydrocarbon Contents in Soil Based on Continuum Removal and Wavelet Packet Decomposition. Sustainability , 12, Article 4218. https://doi.org/10.3390/su12104218
Deepthi and Thomas, T. (2020) Spectral Similarity Algorithm-Based Image Classification for Oil Spill Mapping of Hyperspectral Datasets. Journal of Spectral Imaging , 9, a14.
Hörig, B., Kühn, F., Oschütz, F. and Lehmann, F. (2001) Hymap Hyperspectral Remote Sensing to Detect Hydrocarbons. International Journal of Remote Sensing , 22, 1413-1422. https://doi.org/10.1080/01431160120909
Qingjiu, T., Yi, L. and Lei, Z. (1992) A Remote Sensing Basic Study on the Relation between Spectral Properties (0.40-1.10 µm) of the Oil and Gas Microseepage in East Hebei Province. Proceedings of the Asian Conference on Remote Sensing , Mongolia, 7 October 1992.
Kühn, F. and Hörig, B. (1996) Environmental Remote Sensing of Military Exercise Areas in Germany. In: Remote Sensing and GIS for Site Characterization : Applications and Standards , ASTM International, 107-116. https://doi.org/10.1520/stp18259s
Ellis, J.M., Davis, H.H. and Quinn, M.B. (2000) Airborne Hyperspectral Imagery for the Petroleum Industry. Proceedings of the 14 th International Conference on Applied Geologic Remote Sensing , Las Vegas, 6-8 November 2000, 89-96.
Achard, V., Foucher, P.Y. and Dubucq, D. (2021) Hydrocarbon Pollution Detection and Mapping Based on the Combination of Various Hyperspectral Imaging Processing Tools. Remote Sensing , 13, Article 1020. https://doi.org/10.3390/rs13051020
Short, N. (1998). Finding Oil and Gas in Oklahoma, the Remote Sensing Tutorial (An Online Handbook). Code 935, Goddard Space Flight Center, NASA. http://priede.bf.lu.lv/GIS/.Descriptions/RST/Sect5/nicktutor_5-4.shtml
Kühn, F., Oppermann, K. and Hörig, B. (2004) Hydrocarbon Index—An Algorithm for Hyperspectral Detection of Hydrocarbons. International Journal of Remote Sensing , 25, 2467-2473. https://doi.org/10.1080/01431160310001642287
Achard, V. and Elin, C. (2019) Automatic Mapping of Hydrocarbon Pollution Based on Hyperspectral Imaging. 2019 IEEE International Geoscience and Remote Sensing Symposium , Yokohama, 28 July-2 August 2019, 5678-5771. https://doi.org/10.1109/igarss.2019.8898455
Noomen, M.F., van der Werff, H.M.A. and van der Meer, F.D. (2012) Spectral and Spatial Indicators of Botanical Changes Caused by Long-Term Hydrocarbon Seepage. Ecological Informatics , 8, 55-64. https://doi.org/10.1016/j.ecoinf.2012.01.001
Arellano, P., Tansey, K., Balzter, H. and Boyd, D.S. (2015) Detecting the Effects of Hydrocarbon Pollution in the Amazon Forest Using Hyperspectral Satellite Images. Environmental Pollution , 205, 225-239. https://doi.org/10.1016/j.envpol.2015.05.041
Lassalle, G., Credoz, A., Hédacq, R., Fabre, S., Dubucq, D. and Elger, A. (2018) Assessing Soil Contamination Due to Oil and Gas Production Using Vegetation Hyperspectral Reflectance. Environmental Science & Technology , 52, 1756-1764. https://doi.org/10.1021/acs.est.7b04618
Vennetier, P. (1966) Geography of Congo-Brazzaville, Higher Education in Central Africa. Gautier-Villars-Paris.
Samba-Kimbata, M.J. (1978) Climate of the Lower Congo. Doctoral Thesis, University of Burgundy.
Vennetier, P. (1968) Pointe-Noire and the Coastline of Congo-Brazzaville.
Descoings, B. (1975) The Major Natural Regions of Congo. Candollea , 30, 91-120.
Kimpouni, V., Loumeto, J.J. and Mizingou, J. (2008) Floristic Diversity of the Aucoumea klaineana (Okoumé) Forest Facies on the Congolese Coast. Acta Botanica Gallica , 155, 323-334. https://doi.org/10.1080/12538078.2008.10516113
Miabangana, E.S., Nsongola, G., Orban, B., Van Rooyen, M., Van Rooyen, N. and Gaugris, J. (2017) Floristic and Phytogeographic Analysis of Coastal and Sub-Coastal Vegetation in Kouilou (Republic of Congo). International Journal of Innovation and Applied Studies , 19, 206-217.
Bocquier, G. and Guillemin, R. (1959) Overview of the Main Soil Formations in the Republic of Congo. ORSTOM.
Jamet, R. and Rieffel, J.M. (1976) Soil Map of Congo at 1/200,000, Pointe-Noire Sheet, Loubomo Sheet. Explanatory Note No. 65. ORSTOM.
Callec, Y., Lasseur, E., Le Bayon, B., Thieblemont Fullgraf, T., Gouin, J., et al . (2015) Explanatory Note for the Pointe-Noire Sheet at 1:200,000. National Geological Mapping Programme. Ministry of Mines and Geology. Directorate General of Mines and Geology. BRGM Publications.
Roques, J.M. (2013) Hydro-Sedimentary Study of the Relocation Site for Fishermen in Pointe-Noire Bay. Final Report Version V1.0, AMENIS.
Giresse, P. (1980) Sedimentological Map of the Congo Continental Shelf, Explanatory Note No. 85. ORSTOM.
Samba, G. (2020) The Climate of Congo-Brazzaville. Preface by Professor Dominique Nganga. L’Harmattan.
EROS (2020) Earth Observing 1 (EO-1). https://eo1.gsfc.nasa.gov/