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A GIS-based landslide susceptibility mapping and variable importance analysis using artificial intelligent training-based methods / Pengxiang Zhao in Remote sensing, vol 14 n° 1 (January-1 2022)  

Public [article]  inRemote sensing > vol 14 n° 1 (January-1 2022) . - n° 211 Titre : A GIS-based landslide susceptibility mapping and variable importance analysis using artificial intelligent training-based methods Type de document : Article/Communication Auteurs : Pengxiang Zhao, Auteur ; Zohreh Masoumi, Auteur ; Maryam Kalantari, Auteur ; et al., Auteur Année de publication : 2022 Article en page(s) : n° 211 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG [Termes IGN] aléa [Termes IGN] analyse comparative [Termes IGN] apprentissage profond [Termes IGN] cartographie des risques [Termes IGN] classification par forêts aléatoires [Termes IGN] classification par réseau neuronal convolutif [Termes IGN] classification par séparateurs à vaste marge [Termes IGN] effondrement de terrain [Termes IGN] Iran [Termes IGN] modèle numérique de surface [Termes IGN] régression logistique [Termes IGN] réseau neuronal artificiel [Termes IGN] risque naturel [Termes IGN] système d'information géographique Résumé : (auteur) Landslides often cause significant casualties and economic losses, and therefore landslide susceptibility mapping (LSM) has become increasingly urgent and important. The potential of deep learning (DL) like convolutional neural networks (CNN) based on landslide causative factors has not been fully explored yet. The main target of this study is the investigation of a GIS-based LSM in Zanjan, Iran and to explore the most important causative factor of landslides in the case study area. Different machine learning (ML) methods have been employed and compared to select the best results in the case study area. The CNN is compared with four ML algorithms, including random forest (RF), artificial neural network (ANN), support vector machine (SVM), and logistic regression (LR). To do so, sixteen landslide causative factors have been extracted and their related spatial layers have been prepared. Then, the algorithms were trained with related landslide and non-landslide points. The results illustrate that the five ML algorithms performed suitably (precision = 82.43–85.6%, AUC = 0.934–0.967). The RF algorithm achieves the best result, while the CNN, SVM, the ANN, and the LR have the best results after RF, respectively, in this case study. Moreover, variable importance analysis results indicate that slope and topographic curvature contribute more to the prediction. The results would be beneficial to planning strategies for landslide risk management. Numéro de notice : A2022-056 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.3390/rs14010211 Date de publication en ligne : 04/01/2022 En ligne : https://doi.org/10.3390/rs14010211 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99459 [article]

GIS-based survey over the public transport strategy: An instrument for economic and sustainable urban traffic planning / Gabriela Droj in ISPRS International journal of geo-information, vol 11 n° 1 (January 2022)  

Public [article]  inISPRS International journal of geo-information > vol 11 n° 1 (January 2022) . - n° 16 Titre : GIS-based survey over the public transport strategy: An instrument for economic and sustainable urban traffic planning Type de document : Article/Communication Auteurs : Gabriela Droj, Auteur ; Laurentiu Droj, Auteur ; Ana-Cornelia Badea, Auteur Année de publication : 2022 Article en page(s) : n° 16 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG [Termes IGN] analyse spatiale [Termes IGN] circulation urbaine [Termes IGN] modèle mathématique [Termes IGN] planification urbaine [Termes IGN] pollution atmosphérique [Termes IGN] Roumanie [Termes IGN] trafic routier [Termes IGN] transport public Résumé : (auteur) Traffic has a direct impact on local and regional economies, on pollution levels and is also a major source of discomfort and frustration for the public who have to deal with congestion, accidents or detours due to road works or accidents. Congestion in urban areas is a common phenomenon nowadays, as the main arteries of cities become congested during peak hours or when there are additional constraints such as traffic accidents and road works that slow down traffic on road sections. When traffic increases, it is observed that some roads are predisposed to congestion, while others are not. It is evident that both congestion and urban traffic itself are influenced by several factors represented by complex geospatial data and the spatial relationships between them. In this paper were integrated mathematical models, real time traffic data with network analysis and simulation procedures in order to analyze the public transportation in Oradea and the impact on urban traffic. A mathematical model was also adapted to simulate the travel choices of the population of the city and of the surrounding villages. Based on the network analysis, traffic analysis and on the traveling simulation, the elements generating traffic congestion in the inner city can be easily determined. The results of the case study are emphasizing that diminishing the traffic and its effects can be obtained by improving either the public transport density or its accessibility. Numéro de notice : A2022-039 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/URBANISME Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/ijgi11010016 Date de publication en ligne : 30/12/2021 En ligne : https://doi.org/10.3390/ijgi11010016 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99382 [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)  

Public [article]  inApplied geomatics > vol 13 n° 4 (December 2021) . - pp 587–603 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 géographique Résumé : (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 [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)  

Public [article]  inApplied geomatics > vol 13 n° 4 (December 2021) . - pp 493 - 498 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] vague Résumé : (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 [article]

Evaluation 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)  

Public [article]  inNatural Hazards > vol 109 n° 2 (November 2021) . - pp 1603 - 1628 Titre : Evaluation of watershed soil erosion hazard using combination weight and GIS: a case study from eroded soil in Southern China Type de document : Article/Communication Auteurs : Shifa Chen, Auteur ; Wen Liu, Auteur ; Yonghui Bai, Auteur ; et al., Auteur Année de publication : 2021 Article en page(s) : pp 1603 - 1628 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG [Termes IGN] ArcGIS [Termes IGN] bassin hydrographique [Termes IGN] carte d'occupation du sol [Termes IGN] carte thématique [Termes IGN] cartographie des risques [Termes IGN] Chine [Termes IGN] combinaison linéaire ponderée [Termes IGN] entropie [Termes IGN] érosion hydrique [Termes IGN] modèle numérique de surface [Termes IGN] pondération [Termes IGN] processus d'analyse hiérarchique [Termes IGN] risque naturel Résumé : (auteur) Soil erosion is a type of land degradation caused by the interactive interaction of numerous factors, such as natural and socioeconomic conditions of a particular watershed. In this study, a comprehensive integrated methodology was used to evaluate the water erosion hazard in the Zhuxi watershed in Southern China, which is greatly affected by eroded soil. Ten indicators were selected, and a thematic layer map was generated for each indicator using Geographic Information System (GIS). The weight of each evaluation indicator was determined by combining analytic hierarchy process (AHP) with entropy method. Results show that the east and west sections of the Zhuxi watershed have very low and low grades of soil erosion hazards, respectively, and the middle part has the highest hazard. More than 60% of the area has high erosion hazard (moderate to very high). The intensity of soil erosion is lower than its hazard level, especially in high-grade hazard. The obtained results for erosion hazard level can be used to develop conservation strategies for the Zhuxi watershed. This study evaluates soil erosion hazard and offers reference for soil erosion control. Numéro de notice : A2021-851 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1007/s11069-021-04891-7 Date de publication en ligne : 05/07/2021 En ligne : https://doi.org/10.1007/s11069-021-04891-7 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99036 [article]

Spatial structure system of land use along urban rail transit based on GIS spatial clustering / Yu Gao in European journal of remote sensing, vol 54 sup 2 (2021)  

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Analyzing routes in Ottoman Greater Syria using historical GIS: The 1849 Saida map / Motti Zohar in Transactions in GIS, vol 25 n° 5 (October 2021)  

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Prioritization of forest fire hazard risk simulation using Hybrid Grey Relativity Analysis (HGRA) and Fuzzy Analytical Hierarchy Process (FAHP) coupled with multicriteria decision analysis (MCDA) techniques – a comparative study analysis / Michael Stanley Peprah in Geodesy and cartography, vol 47 n° 3 (October 2021)  

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The accuracy of urban maps in Spain through GIS: The example of Burgos from the nineteenth to the twentieth century / Barbara Polo-Martin in Cartographica, vol 56 n° 3 (Fall 2021)  

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Access to urban parks: Comparing spatial accessibility measures using three GIS-based approaches / Siqin Wang in Computers, Environment and Urban Systems, vol 90 (November 2021)  

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Development of a GIS-based alert system to mitigate flash flood impacts in Asyut governorate, Egypt / Soha A. Mohamed in Natural Hazards, vol 108 n° 3 (September 2021)  

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GIS-based logic scoring of preference method for urban densification suitability analysis / Shuoge Shen in Computers, Environment and Urban Systems, vol 89 (September 2021)  

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GIS models for vulnerability of coastal erosion assessment in a tropical protected area / Luís Russo Vieira in ISPRS International journal of geo-information, vol 10 n° 9 (September 2021)  

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Application of GIS tools in the measurement analysis of urban spatial layouts using the square grid method / Łukasz Musiaka in ISPRS International journal of geo-information, vol 10 n° 8 (August 2021)  

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A hybrid data model for dynamic GIS: application to marine geomorphological dynamics / Younes Hamdani in International journal of geographical information science IJGIS, vol 35 n° 8 (August 2021)  

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