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Applicability of generalized additive model in groundwater potential modelling and comparison its performance by bivariate statistical methods / Fatemeh Falah in Geocarto international, vol 32 n° 10 (October 2017)  

Public [article]  inGeocarto international > vol 32 n° 10 (October 2017) . - pp 1069 - 1089 Titre : Applicability of generalized additive model in groundwater potential modelling and comparison its performance by bivariate statistical methods Type de document : Article/Communication Auteurs : Fatemeh Falah, Auteur ; Samira Ghorbani Nejad, Auteur ; Omid Rahmati, Auteur ; et al., Auteur Année de publication : 2017 Article en page(s) : pp 1069 - 1089 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG [Termes IGN] analyse bivariée [Termes IGN] ArcGIS [Termes IGN] eau souterraine [Termes IGN] géostatistique [Termes IGN] Iran [Termes IGN] modèle de simulation [Termes IGN] ressources en eau [Termes IGN] système d'information géographique Résumé : (Auteur) Groundwater is the most valuable natural resource in arid areas. Therefore, any attempt to investigate potential zones of groundwater for further management of water supply is necessary. Hence, many researchers have worked on this subject all around the world. On the other hand, the Generalized Additive Model (GAM) has been applied to environmental and ecological modelling, but its applicability to other kinds of predictive modelling such as groundwater potential mapping has not yet been investigated. Therefore, the main purpose of this study is to evaluate the performance of GAM model and then its comparison with three popular GIS-based bivariate statistical methods, namely Frequency Ratio (FR), Statistical Index (SI) and Weight-of-Evidence (WOE) for producing groundwater spring potential map (GSPM) in Lorestan Province Iran. To achieve this, out of 6439 existed springs, 4291 spring locations were selected for training phase and the remaining 2147 springs for model evaluation. Next, the thematic layers of 12 effective spring parameters including altitude, plan curvature, slope angle, slope aspect, drainage density, distance from rivers, topographic wetness index, fault density, distance from fault, lithology, soil and land use/land cover were mapped and integrated using the ArcGIS 10.2 software to generate a groundwater prospect map using mentioned approaches. The produced GSPMs were then classified into four distinct groundwater potential zones, namely low, moderate, high and very high classes. The results of the analysis were finally validated using the receiver operating characteristic (ROC) curve technique. The results indicated that out of four models, SI is superior (prediction accuracy of 85.4%) following by FR, GAM and WOE, respectively (prediction accuracy of 83.7, 77 and 76.3%). The result of groundwater spring potential map is helpful as a guide for engineers in water resources management and land use planning in order to select suitable areas to implement development schemes and also government entities. Numéro de notice : A2017-669 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.201 Date de publication en ligne : 07/06/2016 En ligne : https://doi.org/10.1080/10106049.2016.1188166 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=87144 [article]

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Towards a multi-scale approach for an Earth observation-based assessment of natural resource exploitation in conflict regions / Elisabeth Schoepfer in Geocarto international, vol 32 n° 10 (October 2017)  

Public [article]  inGeocarto international > vol 32 n° 10 (October 2017) . - pp 1139 - 1158 Titre : Towards a multi-scale approach for an Earth observation-based assessment of natural resource exploitation in conflict regions Type de document : Article/Communication Auteurs : Elisabeth Schoepfer, Auteur ; Kristin Spröhnle, Auteur ; Olaf Kranz, Auteur ; et al., Auteur Année de publication : 2017 Article en page(s) : pp 1139 - 1158 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] analyse d'image orientée objet [Termes IGN] analyse multiéchelle [Termes IGN] Congo [Termes IGN] extraction automatique [Termes IGN] guerre [Termes IGN] image satellite [Termes IGN] observation de la Terre [Termes IGN] occupation du sol [Termes IGN] ressources naturelles [Termes IGN] surveillance agricole Résumé : (Auteur) The exploitation of resources, if not properly managed, can lead to spoiling natural habitats as well as to threatening people’s health, livelihoods and security. The paper discusses a multi-scale Earth observation-based approach to provide independent information related to exploitation activities of natural resources for countries which are experiencing armed conflict. The analyses are based on medium to very high spatial resolution optical satellite data. Object-based image analysis is used for information extraction at these different scales. On a subnational level, conflict-related land cover changes as an indication of potential hot spots for exploitation activities are classified. The regional assessment provides information about potential activity areas of resource exploitation, whereas on a local scale, a site-specific assessment of exploitation areas is performed. The study demonstrates the potential of remote sensing for supporting the monitoring and documentation of natural resource exploitation in conflict regions. Numéro de notice : A2017-670 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2016.1195885 Date de publication en ligne : 23/06/2016 En ligne : https://doi.org/10.1080/10106049.2016.1195885 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=87148 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
059-2017101	RAB	Revue	Centre de documentation	En réserve L003	Disponible