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Applying the environmental sensitivity index for the assessment of the prospective oil spills along the Nile Delta Coast, Egypt / Rasha M. Abou Samra in Geocarto international, vol 35 n° 6 ([01/05/2020])
[article]
Titre : Applying the environmental sensitivity index for the assessment of the prospective oil spills along the Nile Delta Coast, Egypt Type de document : Article/Communication Auteurs : Rasha M. Abou Samra, Auteur ; Rasha Eissa, Auteur ; Maie El-Gammal, Auteur Année de publication : 2020 Article en page(s) : pp 589 - 601 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Cartographie thématique
[Termes IGN] analyse de sensibilité
[Termes IGN] environnement
[Termes IGN] hydrocarbure
[Termes IGN] impact sur l'environnement
[Termes IGN] Nil (delta du)
[Termes IGN] Nil (fleuve)
[Termes IGN] pétrole
[Termes IGN] pollution des mers
[Termes IGN] rivage
[Termes IGN] Suez, canal deRésumé : (auteur) The Nile Delta is located very close to the Suez Canal, the main route for oil transport in the world, makes it prone to pollution from any accidental oil spills in the Mediterranean Sea. The coast of the Nile Delta is generally arcuate and highly exposed to waves and currents. The present study attempted to perform the environmental sensitivity of the shoreline to oil slicks. Six variables were incorporated together in order to determine the environmental sensitivity index (ESI). Data were collected from different resources and from in situ observations. Results showed that the ESI is generally high for the western section of the Nile Delta, particularly along Alexandria region. Low ESI was observed along the shorelines facing the coastal sand dunes at the middle part of the delta coast. The ESI is an effective approach to delineate the vulnerable coastal areas to marine oil pollution. Numéro de notice : A2020-200 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2018.1533592 Date de publication en ligne : 06/11/2018 En ligne : https://doi.org/10.1080/10106049.2018.1533592 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94870
in Geocarto international > vol 35 n° 6 [01/05/2020] . - pp 589 - 601[article]A machine learning approach to detect crude oil contamination in a real scenario using hyperspectral remote sensing / Ran Pelta in International journal of applied Earth observation and geoinformation, vol 82 (October 2019)
[article]
Titre : A machine learning approach to detect crude oil contamination in a real scenario using hyperspectral remote sensing Type de document : Article/Communication Auteurs : Ran Pelta, Auteur ; Nimrod Carmon, Auteur ; Eyal Ben-Dor, Auteur Année de publication : 2019 Article en page(s) : 15 p. Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] apprentissage automatique
[Termes IGN] apprentissage dirigé
[Termes IGN] étalonnage de modèle
[Termes IGN] hydrocarbure
[Termes IGN] image aérienne
[Termes IGN] image hyperspectrale
[Termes IGN] image infrarouge
[Termes IGN] image proche infrarouge
[Termes IGN] Israël
[Termes IGN] Kappa de Cohen
[Termes IGN] pétrole
[Termes IGN] photo-interprétation
[Termes IGN] pollution des sols
[Termes IGN] réflectance du sol
[Termes IGN] spectroscopieRésumé : (auteur) One of the most ubiquitous and detrimental types of environmental contamination in the world is crude oil pollution. When released into either the aquatic or terrestrial environments, this pollution can negatively impact flora and fauna, as well as human health. Hence, a rapid and affordable spatial assessment of the pollution is favored to limit the spill’s effects. Using airborne hyperspectral remote sensing (HRS) for crude oil detection in terrestrial areas has been investigated in previous studies, which mainly relied on heavily oiled artificial samples. These studies and others based their methodologies on the premise that the spectral features of petroleum hydrocarbon (PHC) are clearly observable, which might not be true in all cases. In this study, we aimed at assessing the true potential of using HRS for terrestrial oil spill mapping in a real disaster site in southern Israel, where laboratory and controlled conditions do not apply. Using the AISA SPECIM Fenix1 K sensor, we collected airborne image of the study site and analyzed the data with advanced data mining techniques. Various challenges and limitations arose from the airborne HRS image being taken two and a half years after the crude oil had been released into the environment and exposed to the surface. Here, no spectral features of PHC were detectable in the spectrum, preventing the use of PHC indices and spectral methods developed by others. Nevertheless, by using standardization techniques, vicarious band selection, dimension reduction, multivariate calibration, and supervised machine-learning, we were able to successfully distinguish between contaminated pixels from non-contaminated ones. Classification accuracy metrics of overall accuracy, sensitivity, specificity, and Kappa yielded good results of 0.95, 0.95, 0.95 and 0.9, respectively, for cross-validation, and 0.93, 0.91, 0.94 and 0.85, for the validation dataset. Classified image and test scenes also showed strong agreement with an orthophoto image taken several days after the disaster, when the pollution was clearly visible. Thus, we conclude that HRS technology can detect PHC traces in an oil spill site, even under the most challenging conditions. Numéro de notice : A2019-475 Affiliation des auteurs : non IGN Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.jag.2019.101901 Date de publication en ligne : 22/06/2019 En ligne : https://doi.org/10.1016/j.jag.2019.101901 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93636
in International journal of applied Earth observation and geoinformation > vol 82 (October 2019) . - 15 p.[article]Hyperspectral analysis of soil polluted with four types of hydrocarbons / Laura A. Reséndez-Hernández in Geocarto international, vol 34 n° 9 ([15/06/2019])
[article]
Titre : Hyperspectral analysis of soil polluted with four types of hydrocarbons Type de document : Article/Communication Auteurs : Laura A. Reséndez-Hernández, Auteur ; Daniel Prudencio-Csapek, Auteur ; Diego Fabian Lozano Garcia, Auteur Année de publication : 2019 Article en page(s) : pp 925 - 942 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse de mélange spectral d’extrémités multiples
[Termes IGN] analyse spectrale
[Termes IGN] classification Spectral angle mapper
[Termes IGN] hydrocarbure
[Termes IGN] pétrole
[Termes IGN] pollution des sols
[Termes IGN] réflectance spectrale
[Termes IGN] spectroradiomètreRésumé : (auteur) In this study, a high spectral resolution GER-2600 spectroradiometer was used to obtain the spectral data of soil samples that were polluted with four different types of petroleum–hydrocarbons products: Diesel, Gasoline, Crude Oil and Fuel Oil. The polluted soil samples were prepared in the laboratory at five concentrations levels: unpolluted soil, 2500, 100,000, 250,000 ppm and pure pollutant. Spectral data were pre-processed and then analysed with various approaches: Principal Components Transformation and ANOVA, Spectral Angle Mapper (SAM), Hydrocarbon Index (HI) and Spectral Mixture Analysis (SMA). The results showed that it was possible to determine the different spectral response between clean soil and some of the polluted soils: crude oil at concentrations higher than 100,000 ppm were the easiest to recognize; while samples polluted with gasoline at concentrations below 250,000 ppm were the most difficult to distinguish from non-polluted samples. Numéro de notice : A2019-516 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2018.1451921 Date de publication en ligne : 28/03/2019 En ligne : https://doi.org/10.1080/10106049.2018.1451921 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93870
in Geocarto international > vol 34 n° 9 [15/06/2019] . - pp 925 - 942[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 059-2019091 RAB Revue Centre de documentation En réserve L003 Disponible
Titre : Monitoring of marine pollution Type de document : Monographie Auteurs : Houma Bachari Fouzia, Éditeur scientifique Editeur : London [UK] : IntechOpen Année de publication : 2019 Importance : 168 p. Format : 19 x 27 cm ISBN/ISSN/EAN : 978-1-83880-812-9 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] capteur optique
[Termes IGN] hydrocarbure
[Termes IGN] lutte contre la pollution
[Termes IGN] métal lourd
[Termes IGN] milieu marin
[Termes IGN] pétrole
[Termes IGN] pollution des mers
[Termes IGN] protection de l'environnement
[Termes IGN] surveillance du littoral
[Termes IGN] surveillance écologiqueRésumé : (éditeur) Many of the pollutants discharged into the sea are directly or indirectly the result of human activities. Some of these substances are biodegradable, while others are not. This study is devoted to monitoring areas of the environment. Methods assessment is based on monitoring data and an evaluation of the impact of pollution.Surveillance provides a scientific basis for standards development and application. The methodology of marine pollution control is governed by algorithms and models. A monitoring strategy should be put in place, coupled with an environmental assessment concept, through targeted research activities in areas identified at local and regional levels. This concept will make it possible to diagnose the state of "health" of these zones and consequently to correct any anomalies. Monitoring of the marine and coastal environment is based on recent methods and validated after experiments in the field of marine pollution. Note de contenu : 1- Introductory chapter: Marine monitoring pollution
2- Detection and monitoring of marine pollution using remote sensing technologies
3- The hazards of monitoring ecosystem ocean health in the Gulf of Mexico: A Mexican perspective
4- Sediment and organisms as marker for metal pollution
5- Nitrogen and phosphorus eutrophication in marine ecosystems
6- Decadal pollution assessment and monitoring along the Kenya Coast
7- Oil spill dispersion forecasting models
8- Response of benthic foraminifera to environmental variability: Importance of benthic foraminifera in monitoring studiesNuméro de notice : 25968 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Recueil / ouvrage collectif DOI : 10.5772/intechopen.76739 En ligne : https://doi.org/10.5772/intechopen.76739 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96590 Estimated location of the seafloor sources of marine natural oil seeps from sea surface outbreaks : A new "source path procedure" applied to the northern Gulf of Mexico / Zhour Najoui in Marine and Petroleum Geology, Vol 91 (March 2018)
[article]
Titre : Estimated location of the seafloor sources of marine natural oil seeps from sea surface outbreaks : A new "source path procedure" applied to the northern Gulf of Mexico Type de document : Article/Communication Auteurs : Zhour Najoui , Auteur ; Serge Riazanoff, Auteur ; Benoit Deffontaines , Auteur ; Jean-Paul Xavier, Auteur Année de publication : 2018 Projets : 3-projet - voir note / Article en page(s) : pp 190 - 201 Note générale : Bibliographie
This work is performed as a part of a PhD research program funded by VisioTerra/UPE (Université Paris-Est) and ANRT/CIFRE (N° 2013/1252).Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] fond marin
[Termes IGN] HYbrid Coordinate Ocean Model
[Termes IGN] image radar moirée
[Termes IGN] Mexique (golfe du)
[Termes IGN] modèle stochastique
[Termes IGN] pétroleRésumé : (Auteur) Marine oil reservoirs are generally characterized on the sea surface by the presence of natural oil seeps (Sea Surface outbreaks - hereafter SSO). The latter are easily evidenced with Synthetic Aperture Radar (SAR) images because of the dampening effect that oil has on the capillary and associated small gravity waves (Bragg waves). The sea surface outbreaks of oil seeps are offset from their source on the seabed (seafloor sources - SFS) by hundreds meters or even kilometres. This displacement all along the sea water column is a function of the upward velocity of the oil droplet size, and the presence of lateral marine currents. This paper proposes a Vertical Drift Model (VDM) that combines both SAR images to get the SSO and the hydrodynamic model (HYCOM) function of the oil droplet size to estimate the SFS. After oil seeps detection from SAR images, the VDM proceeds to a regression in time and space based on the upward velocity of the oil, based on Stokes law, and the hydrodynamic conditions (HYCOM) to estimate the location of the seep source on the seafloor. The upward velocity depends strongly on the unknown droplet size. We propose herein a new VDM method named "sources paths" that allows to estimate the oil seeps sources on the seafloor without a priori knowledge of the oil droplet size by finding, for each oil seep, the seafloor sources corresponding to different diameters. We call "sources path" the line that joins the seafloor sources for an oil seep. The seafloor sources ought to be at the intersection of the maximum sources paths. The methodology has been applied to the northern Gulf of Mexico where the locations of many prolific oil seep sites are well known. A first validation of the source path procedure is that the obtained SFSs correspond to the seafloor sources of oil droplets having the same diameter and seeped at different times. Another validation has been performed through the comparison of SFS locations and those of the outcropping shallow salt. This comparison shows a good correlation and suggests that the oil seeps may be situated above the allochtonous toward autochthonous salt connections. Numéro de notice : A2018-064 Affiliation des auteurs : LASTIG LAREG+Ext (2012-mi2018) Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.marpetgeo.2017.12.035 Date de publication en ligne : 04/01/2018 En ligne : https://doi.org/10.1016/j.marpetgeo.2017.12.035 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89404
in Marine and Petroleum Geology > Vol 91 (March 2018) . - pp 190 - 201[article]Permalinkn° 13 - février 2017 - Chiffres clés de l'énergie, édition 2016 (Bulletin de Datalab) / CGDD Commissariat Général au Développement DurablePermalinkChiffres clés de l'énergie, édition 2015 / CGDD Commissariat Général au Développement Durable (2015)PermalinkApports de l'imagerie et des SIG pour une étude morphostructurale de la jeffara tunisienne : implications géodynamiques et intérêts pétroliers / Rim Ghedhoui (2014)PermalinkChiffres clés de l'énergie, édition 2013 / CGDD Commissariat Général au Développement Durable (2014)PermalinkPermalinkSimulating spatial dynamics and processes in a retail gasoline market: An agent-based modeling approach / Alison J. Heppenstall in Transactions in GIS, vol 17 n° 5 (October 2013)PermalinkOn the degree of polarization for SAR sea oil slick observation / Ferdinando Nunziata in ISPRS Journal of photogrammetry and remote sensing, vol 78 (April 2013)PermalinkDesigning a 3D model for the prediction of the top of formation in oil fields using geostatistical methods / M. Abdideh in Geocarto international, vol 27 n° 7 (November 2012)PermalinkLes SIG web et la topographie pétrolière de Total (Exploration & Production) / A. Vidal in XYZ, n° 130 (mars - mai 2012)Permalink