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A comparative approach of support vector machine kernel functions for GIS-based landslide susceptibility mapping / Khalil Valizadeh Kamran in Applied geomatics, vol 13 n° 4 (December 2021)
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Titre : A comparative approach of support vector machine kernel functions for GIS-based landslide susceptibility mapping Type de document : Article/Communication Auteurs : Khalil Valizadeh Kamran, Auteur ; Bakhtiar Feizizadeh, Auteur ; Behnam Khorrami, Auteur ; et al., Auteur Année de publication : 2021 Article en page(s) : pp 837 - 851 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] analyse de sensibilité
[Termes IGN] apprentissage automatique
[Termes IGN] cartographie des risques
[Termes IGN] classification par séparateurs à vaste marge
[Termes IGN] effondrement de terrain
[Termes IGN] fonction de base radiale
[Termes IGN] Iran
[Termes IGN] méthode fondée sur le noyau
[Termes IGN] occupation du sol
[Termes IGN] pente
[Termes IGN] risque naturel
[Termes IGN] système d'information géographique
[Termes IGN] utilisation du solRésumé : (auteur) Landslides are among the most destructive natural hazards with severe socio-economic ramifications all around the world. Understanding the critical combination of geoenvironmental factors involved in the occurrence of landslides can mitigate the adverse impacts ascribed to them. Among the several scenarios for studying and investigating this phenomenon, landslide susceptibility mapping (LSM) is the most prominent method. Applying the machine learning (ML) algorithms integrated with the geographic information systems (GIS) has become a trending means for accurate and rapid landslide mapping practices in the scientific community. Support vector machine (SVM) has been the most commonly applied ML algorithm for LSM in recent years. The current study aims to implement different SVM kernel functions including polynomial kernel function (PKF) (degree 1 to 5), radial basis function (RBF), sigmoid, and linear kernels, for a GIS-based LSM over the Tabriz Basin (TB). To this end, a total number of 9 conditioning parameters being involved in the occurrence of the landslide events were determined and utilized. The LSM maps of the TB were generated based on the different SVM kernels and were statistically validated according to the landslide inventory. The findings revealed that the polynomial-degree-2 (PKF-2) model (AUC = 0.9688) outperforms the rest of the utilized kernels. According to the SLM map generated through PKF-2, the northernmost parts of the TB are extremely susceptible to slope failures than the rest; therefore, the developmental policies over these parts have to be taken into account with privileged priority to hinder any humanitarian as well as environmental catastrophes. Numéro de notice : A2021-858 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1007/s12518-021-00393-0 Date de publication en ligne : 28/08/2021 En ligne : https://doi.org/10.1007/s12518-021-00393-0 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99066
in Applied geomatics > vol 13 n° 4 (December 2021) . - pp 837 - 851[article]Evaluating narrative in geoportals for territorial public policies / Luis Manuel Batista in Cartographica, vol 56 n° 4 (Winter 2021)
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Titre : Evaluating narrative in geoportals for territorial public policies Type de document : Article/Communication Auteurs : Luis Manuel Batista, Auteur ; Ana Figueiras, Auteur Année de publication : 2021 Article en page(s) : pp 303 - 319 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web
[Termes IGN] analyse comparative
[Termes IGN] carte thématique
[Termes IGN] collectivité territoriale
[Termes IGN] communication cartographique
[Termes IGN] compréhension de l'image
[Termes IGN] conception cartographique
[Termes IGN] géoportail
[Termes IGN] plan local d'urbanisme
[Termes IGN] politique territoriale
[Termes IGN] Portugal
[Termes IGN] web mappingRésumé : (auteur) To do territorial planning, we need several maps referring to different layers of information necessary to represent the territory according to a vast set of variables. At the Portuguese municipal level, the municipal master plan (PDM – plano diretor municipal) is the territorial management tool responsible for long-term territorial planning and ordering. Since the PDM will constrain the citizens’ lives, it should be of easy access and interpretation. However, due to its large amount of information, it is often hard for them to understand what is presented using only static cartographic elements. Comparing 60 Web sites that present geographical information for a wider public, we found that narrative, visual, and interactive elements and data presentation in flexible portions with the necessary information for partitioning, browsing, or querying made the data more engaging. This flexibility is particularly important with large data sets, where decreasing the level of complexity is vital for proper understanding and analysis. We found that geoportals dedicated to territorial public policies lack narrative elements that would improve comprehension. Since it is difficult for the general public to understand the strategy the municipality wants to implement, the desired public participation, although possible, will return poor results. Numéro de notice : A2021-887 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3138/cart-2021-0023 Date de publication en ligne : 02/12/2021 En ligne : https://doi.org/10.3138/cart-2021-0023 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99227
in Cartographica > vol 56 n° 4 (Winter 2021) . - pp 303 - 319[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 031-2021041 SL Revue Centre de documentation Revues en salle Disponible Explorer par la carte l’espace pendant le confinement: Une expérimentation de cartographie sensible / Laurence Jolivet in Revue des Politiques Sociales et Familiales, n° 141 ([01/12/2021])
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Titre : Explorer par la carte l’espace pendant le confinement: Une expérimentation de cartographie sensible Type de document : Article/Communication Auteurs : Laurence Jolivet , Auteur ; Catherine Dominguès
, Auteur ; Eric Mermet
, Auteur ; Sevil Seten, Auteur
Année de publication : 2021 Projets : 1-Pas de projet / Article en page(s) : pp 129 - 139 Note générale : bibliographie Langues : Français (fre) Descripteur : [Vedettes matières IGN] Cartologie
[Termes IGN] cartographie sensible
[Termes IGN] espace intérieur
[Termes IGN] sentimentRésumé : (auteur) Cet article présente une expérimentation de cartographie sensible visant à documenter l’espace de vie tel que vécu et perçu pendant le premier confinement dû à la Covid-19. L’analyse des cartes réalisées par les participants du séminaire de cartographie sensible de l’École des hautes études en sciences sociales (EHESS) a mis en évidence des repères spatiaux, temporels, perceptifs, émotionnels qui sont personnels ou partagés. Les cartes montrent le resserrement dans et autour du logement, dans un environnement qualifié par une nouvelle accessibilité. L’espace a été exploré de manière inédite et les usages se sont adaptés et relocalisés. La cartographie sensible offre un cadre méthodologique, qui a permis l’expression individuelle du rapport à l’espace, lui-même modifié par le confinement. Numéro de notice : A2021-908 Affiliation des auteurs : UGE-LASTIG+Ext (2020- ) Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueNat DOI : 10.3917/rpsf.141.0129 Date de publication en ligne : 03/01/2022 En ligne : https://doi.org/10.3917/rpsf.141.0129 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99388
in Revue des Politiques Sociales et Familiales > n° 141 [01/12/2021] . - pp 129 - 139[article]A GIS-remote sensing approach for forest fire risk assessment: case of Bizerte region, Tunisia / Salwa Saidi in Applied geomatics, vol 13 n° 4 (December 2021)
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Titre : A GIS-remote sensing approach for forest fire risk assessment: case of Bizerte region, Tunisia Type de document : Article/Communication Auteurs : Salwa Saidi, Auteur ; Alaeddine Ben Younes, Auteur ; Brice Anselme, Auteur Année de publication : 2021 Article en page(s) : pp 587–603 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG
[Termes IGN] analyse multicritère
[Termes IGN] Bizerte (Tunisie)
[Termes IGN] cartographie des risques
[Termes IGN] changement climatique
[Termes IGN] incendie de forêt
[Termes IGN] indice de risque
[Termes IGN] outil d'aide à la décision
[Termes IGN] prévention des risques
[Termes IGN] système d'information géographiqueRésumé : (auteur) In this era of climate change and global warming, forest fires are increasing around the world and especially in areas with arid and semi-arid climate. Hence, prevention is vital and it is considered as the best solution to protect forest areas. This paper presents a multi-criteria approach for the assessment and mapping of fire risk using three indicators: topomorphology index, climatic index, and human one. For each indicator, sub-indicators such as slope, morphology, exposure, number of fires, groundwater reserve, and evapotranspiration are chosen to generate a forest fire risk index in Bizerte region. Spatial data on all these indicators have been aggregated and organized in a geographic information system (GIS) framework. Results show that 33% of the total area of Bizerte forest is highly vulnerable to fire risk and an increasing of risk from 2013 to 2016. Sensitivity analyses indicated that the removal of the climatic (ICL) and the human indexes (HI) from the forest fire risk index causes large variation in the risk assessment. As a consequence, it should have higher weights than other indicators, which proves that triggering of wildfires is in the whole part caused by human activities and accelerated by climatic conditions. The remote sensing approach using NBR index confirms that severity of burned area increases throughout the time and the most changes are observed in the Northeast of Bizerte forest. These results can serve as a planning tool for decision makers to save the lives of residents and forest resources. Numéro de notice : A2021-857 Affiliation des auteurs : non IGN Thématique : FORET/GEOMATIQUE Nature : Article DOI : 10.1007/s12518-021-00369-0 Date de publication en ligne : 03/06/2021 En ligne : https://doi.org/10.1007/s12518-021-00369-0 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99065
in Applied geomatics > vol 13 n° 4 (December 2021) . - pp 587–603[article]GIS to identify exposed shoreline sectors to wave impacts: case of El Tarf coast / Abdeldjalil Goumrasa in Applied geomatics, vol 13 n° 4 (December 2021)
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Titre : GIS to identify exposed shoreline sectors to wave impacts: case of El Tarf coast Type de document : Article/Communication Auteurs : Abdeldjalil Goumrasa, Auteur ; Chawki Zerrouki, Auteur ; Yacine Hemdane, Auteur ; et al., Auteur Année de publication : 2021 Article en page(s) : pp 493 - 498 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG
[Termes IGN] Algérie
[Termes IGN] cartographie des risques
[Termes IGN] érosion côtière
[Termes IGN] géomorphologie
[Termes IGN] houle
[Termes IGN] modèle numérique de surface
[Termes IGN] risque naturel
[Termes IGN] submersion marine
[Termes IGN] surveillance du littoral
[Termes IGN] trait de côte
[Termes IGN] urbanisation
[Termes IGN] vagueRésumé : (auteur) Many coastlines are naturally exposed to submersion and erosion hazards. In this work, a combined GIS and wave modeling method is used to identify areas exposed to coastal erosion. The main objective of this work is the qualitative identification of shoreline sectors where wave and swell energy are important. The selected study area is “Cap Rosa” located in the El Tarf coast in eastern Algeria. The obtained results show that the eastern part of the study area is the most affected by wave impact. This preliminary identification can be used in a detailed vulnerability assessment along the coast while integrating other factors (physical and socio-economic) beside the shoreline exposure. Numéro de notice : A2021-855 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1007/s12518-021-00380-5 Date de publication en ligne : 24/05/2021 En ligne : https://doi.org/10.1007/s12518-021-00380-5 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99061
in Applied geomatics > vol 13 n° 4 (December 2021) . - pp 493 - 498[article]Incorporating multi-criteria decision-making and fuzzy-value functions for flood susceptibility assessment / Ali Azareh in Geocarto international, vol 36 n° 20 ([01/12/2021])
PermalinkParticle swarm optimization based water index (PSOWI) for mapping the water extents from satellite images / Mohammad Hossein Gamshadzaei in Geocarto international, vol 36 n° 20 ([01/12/2021])
PermalinkA semantics-based trajectory segmentation simplification method / Minshi Liu in Journal of Geovisualization and Spatial Analysis, vol 5 n° 2 (December 2021)
PermalinkEvaluation of watershed soil erosion hazard using combination weight and GIS: a case study from eroded soil in Southern China / Shifa Chen in Natural Hazards, vol 109 n° 2 (November 2021)
PermalinkInteractive maps for the production of knowledge and the promotion of participation from the perspective of communication, journalism, and digital humanities / Pedro Molina Rodríguez-Navas in ISPRS International journal of geo-information, vol 10 n° 11 (November 2021)
PermalinkA method of extracting high-accuracy elevation control points from ICESat-2 altimetry data / Binbin Li in Photogrammetric Engineering & Remote Sensing, PERS, vol 87 n° 11 (November 2021)
PermalinkA novel cotton mapping index combining Sentinel-1 SAR and Sentinel-2 multispectral imagery / Lan Xun in ISPRS Journal of photogrammetry and remote sensing, Vol 181 (November 2021)
PermalinkPotential flood hazard zone mapping based on geomorphologic considerations and fuzzy analytical hierarchy model in a data scarce West African basin / Olabanji Aladejana in Geocarto international, vol 36 n° 19 ([01/11/2021])
PermalinkTidal flood area mapping in the face of climate change scenarios: case study in a tropical estuary in the Brazilian semi-arid region / Paulo Victor N. Araújo in Natural Hazards and Earth System Sciences, vol 21 n° 11 (November 2021)
PermalinkA topic model based framework for identifying the distribution of demand for relief supplies using social media data / Ting Zhang in International journal of geographical information science IJGIS, vol 35 n° 11 (November 2021)
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