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Historical Vltava River valley–various historical sources within web mapping environment / Jiří Krejčí 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° 35 Titre : Historical Vltava River valley–various historical sources within web mapping environment Type de document : Article/Communication Auteurs : Jiří Krejčí, Auteur ; Jiří Cajthaml, Auteur Année de publication : 2022 Article en page(s) : n° 35 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique [Termes IGN] ArcGIS [Termes IGN] carte ancienne [Termes IGN] changement d'utilisation du sol [Termes IGN] données anciennes [Termes IGN] géoréférencement [Termes IGN] modélisation 3D [Termes IGN] point d'appui [Termes IGN] République Tchèque [Termes IGN] rivière [Termes IGN] système d'information historique [Termes IGN] vectorisation [Termes IGN] web mapping Résumé : (auteur) The article deals with a comprehensive information system of the historic Vltava River valley. This system contains a number of resources, which are described. For old maps, which are the basis of the whole system, their georeferencing and potential problems in creating seamless mosaics are described. Other sources of data include old photographs, which are localized and stored in the system, along with the definition point of the place from which they were probably taken. The vectorization of data is described, not only for area features used for the analysis of land-use changes, but also for the vectorization of contours. These were vectorized from old maps and are substantial for the creation of historic DEM. Vectorized footprints of buildings and vectors of other functional areas subsequently serve as a basis for the procedural modeling of the virtual 3D landscape. The creation of such a complex and broad information system cannot be described in one article. The aim of this text is to draw attention to a possible approach to the presentation and visualization of the historic landscape, along with links to important documents. Numéro de notice : A2022-038 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/ijgi11010035 Date de publication en ligne : 04/01/2022 En ligne : https://doi.org/10.3390/ijgi11010035 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99380 [article]

Comparative analysis for methods of building digital elevation models from topographic maps using geoinformation technologies / Vadim Belenok in Geodesy and cartography, vol 47 n° 4 (December 2021)  

Public [article]  inGeodesy and cartography > vol 47 n° 4 (December 2021) . - pp 191 - 199 Titre : Comparative analysis for methods of building digital elevation models from topographic maps using geoinformation technologies Type de document : Article/Communication Auteurs : Vadim Belenok, Auteur ; Yuriy Velikodsky, Auteur ; Oleksandr Nikolaienko, Auteur ; et al., Auteur Année de publication : 2021 Article en page(s) : pp 191 - 199 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique [Termes IGN] analyse comparative [Termes IGN] ArcGIS [Termes IGN] carte topographique [Termes IGN] contour [Termes IGN] données altimétriques [Termes IGN] image SRTM [Termes IGN] interpolation linéaire [Termes IGN] interpolation polynomiale [Termes IGN] modèle numérique de surface [Termes IGN] Python (langage de programmation) [Termes IGN] régression [Termes IGN] Russie [Termes IGN] vectorisation Résumé : (auteur) The article considers the question of estimating the accuracy of interpolation methods for building digital elevation models using Soviet topographic maps. The territory of the Kursk region of the Russian Federation was used as the study area, because it is located on the Central Russian Upland and characterized by the complex structure of the vertical and horizontal dissection of the relief. Contour lines automatically obtained using a Python algorithm were used as the initial elevation data to build a digital elevation model. Digital elevation models obtained by thirteen different interpolation methods in ArcGIS and Surfer software were built and analyzed. Special attention is paid to the ANUDEM method, which allows to obtain hydrologically correct digital elevation models. Recommendations for the use of one or another method of interpolation are given. The results can be useful for professionals who use topographic maps in their work and deals with the design using digital elevation models. Numéro de notice : A2021-925 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.3846/gac.2021.13208 Date de publication en ligne : 13/12/2021 En ligne : https://doi.org/10.3846/gac.2021.13208 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99287 [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]

GIS-based study on the environmental sensitivity to pollution and susceptibility to eutrophication in Burullus Lake, Egypt / Muhammad A. El-Alfy in Marine geodesy, vol 44 n° 6 (November 2021)  

Public [article]  inMarine geodesy > vol 44 n° 6 (November 2021) . - pp 554 - 572 Titre : GIS-based study on the environmental sensitivity to pollution and susceptibility to eutrophication in Burullus Lake, Egypt Type de document : Article/Communication Auteurs : Muhammad A. El-Alfy, Auteur ; Dina H. Darwish, Auteur ; Afifi I. Basiony, Auteur ; et al., Auteur Année de publication : 2021 Article en page(s) : pp 554 - 572 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] analyse de sensibilité [Termes IGN] ArcGIS [Termes IGN] distribution spatiale [Termes IGN] Egypte [Termes IGN] eutrophisation [Termes IGN] pollution des eaux [Termes IGN] régression logistique [Termes IGN] système d'information géographique [Termes IGN] utilisation du sol [Termes IGN] variation saisonnière Résumé : (auteur) Sensitivity to pollution in Burullus Lake was estimated based on the proximity analysis. The category of sensitivity was based on six factors including: agricultural areas, industrial areas, drains, Elboughaz, urban areas and fish farms. A statistical model was developed to estimate trophic state index (TSI) based on laboratory measurements of water samples at two different periods of time (Mach 2020 and June 2020) (R2 = 0.96 and 0.94, respectively). The important factors that were considered at the first period were chlorophyll, phosphate PO4 and oxidizable organic matter OOM. In the second period, the considered factors were ammonia NH4, silicates SiO4, and dissolved oxygen (DO). The category of TSI varied from oligotrophic to hyper-eutrophic conditions in March 2020, whereas it varied from eutrophic to hyper-eutrophic in June 2020. The eutrophication condition was higher in June than in March. This may be attributed to the huge amount of wastewaters, their contaminant load and season. The compatibility between sensitivity model and the obtained results in March 2020 was about 54.5%, whereas it was about 27.3% in June 2020. This reveals that the lake is highly sensitive to pollution and therefore it needs to be monitored regularly. Numéro de notice : A2021-818 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/01490419.2021.1954111 Date de publication en ligne : 27/07/2021 En ligne : https://doi.org/10.1080/01490419.2021.1954111 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=98908 [article]

A novel method based on deep learning, GIS and geomatics software for building a 3D city model from VHR satellite stereo imagery / Massimiliano Pepe in ISPRS International journal of geo-information, vol 10 n° 10 (October 2021)  

Public [article]  inISPRS International journal of geo-information > vol 10 n° 10 (October 2021) . - n° 697 Titre : A novel method based on deep learning, GIS and geomatics software for building a 3D city model from VHR satellite stereo imagery Type de document : Article/Communication Auteurs : Massimiliano Pepe, Auteur ; Domenica Costantino, Auteur ; Vincenzo Saverio Alfio, Auteur ; et al., Auteur Année de publication : 2021 Article en page(s) : n° 697 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] algorithme de Gram-Schmidt [Termes IGN] apprentissage profond [Termes IGN] ArcGIS [Termes IGN] détection du bâti [Termes IGN] empreinte [Termes IGN] hauteur du bâti [Termes IGN] image à très haute résolution [Termes IGN] image Worldview [Termes IGN] modèle 3D de l'espace urbain [Termes IGN] modèle numérique de surface [Termes IGN] Oman [Termes IGN] pansharpening (fusion d'images) [Termes IGN] reconnaissance automatique [Termes IGN] système d'information géographique Résumé : (auteur) The aim of the paper is to identify a suitable method for the construction of a 3D city model from stereo satellite imagery. In order to reach this goal, it is necessary to build a workflow consisting of three main steps: (1) Increasing the geometric resolution of the color images through the use of pan-sharpening techniques, (2) identification of the buildings’ footprint through deep-learning techniques and, finally, (3) building an algorithm in GIS (Geographic Information System) for the extraction of the elevation of buildings. The developed method was applied to stereo imagery acquired by WorldView-2 (WV-2), a commercial Earth-observation satellite. The comparison of the different pan-sharpening techniques showed that the Gram–Schmidt method provided better-quality color images than the other techniques examined; this result was deduced from both the visual analysis of the orthophotos and the analysis of quality indices (RMSE, RASE and ERGAS). Subsequently, a deep-learning technique was applied for pan sharpening an image in order to extract the footprint of buildings. Performance indices (precision, recall, overall accuracy and the F1measure) showed an elevated accuracy in automatic recognition of the buildings. Finally, starting from the Digital Surface Model (DSM) generated by satellite imagery, an algorithm built in the GIS environment allowed the extraction of the building height from the elevation model. In this way, it was possible to build a 3D city model where the buildings are represented as prismatic solids with flat roofs, in a fast and precise way. Numéro de notice : A2021-801 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/ijgi10100697 Date de publication en ligne : 14/10/2021 En ligne : https://doi.org/10.3390/ijgi10100697 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=98853 [article]

Impact of travel time uncertainties on modeling of spatial accessibility: a comparison of street data sources / Yan Lin in Cartography and Geographic Information Science, vol 48 n° 6 (October 2021)  

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Groundwater vulnerability assessment of the chalk aquifer in the northern part of France / Lahcen Zouhri in Geocarto international, vol 36 n° 11 ([15/06/2021])  

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Reference evapotranspiration (ETo) methods implemented as ArcMap models with remote-sensed and ground-based inputs, examined along with MODIS ET, for Peloponnese, Greece / Stavroula Dimitriadou in ISPRS International journal of geo-information, vol 10 n° 6 (June 2021)  

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Identifying urban neighborhoods with higher potential for social investment using GIS-FIS approach / Hossein Aghajani in Applied geomatics, vol 13 n° 1 (May 2021)  

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Learning from the informality. Using GIS tools to analyze the structure of autopoietic urban systems in the “smart perspective” / Valerio Di pinto in ISPRS International journal of geo-information, vol 10 n° 4 (April 2021)  

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GIS-based spatial landslide distribution analysis of district Neelum, AJ&K, Pakistan / Shah Naseer in Natural Hazards, vol 106 n° 1 (March 2021)  

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Radio base stations and electromagnetic fields: GIS applications and models for identifying possible risk factors and areas exposed. Some exemplifications in Rome / Cristiano Pesaresi in ISPRS International journal of geo-information, vol 10 n° 1 (January 2021)  

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Apport des SIG dans le suivi des activités de reboisement dans la Forêt école de l’ENEF Mbalmayo / Daniele Roseline Bikie Mindang in Revue Internationale de Géomatique, Aménagement et Gestion des Ressources, RIGAGER, n° 7-8 (décembre 2020)  

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Bretagne, la végétation cartographiée / Marielle Mayo in Géomètre, n° 2185 (novembre 2020)

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A comparison of neighbourhood relations based on ordinary Delaunay diagrams and area Delaunay diagrams: an application to define the neighbourhood relations of buildings / Hiroyuki Usui in International journal of geographical information science IJGIS, vol 34 n° 11 (November 2020)  

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