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Multi-nomenclature, multi-resolution joint translation: an application to land-cover mapping / Luc Baudoux in International journal of geographical information science IJGIS, vol 37 n° 2 (February 2023)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 37 n° 2 (February 2023) . - pp ? Titre : Multi-nomenclature, multi-resolution joint translation: an application to land-cover mapping Type de document : Article/Communication Auteurs : Luc Baudoux , Auteur ; Jordi Inglada, Auteur ; Clément Mallet , Auteur Année de publication : 2023 Projets : AI4GEO / Article en page(s) : pp ? Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Cartographie thématique [Termes IGN] apprentissage profond [Termes IGN] carte d'occupation du sol [Termes IGN] carte d'utilisation du sol [Termes IGN] carte thématique [Termes IGN] classification par réseau neuronal convolutif [Termes IGN] données d'entrainement (apprentissage automatique) [Termes IGN] harmonisation des données [Termes IGN] nomenclature [Termes IGN] pouvoir de résolution géométrique Résumé : (auteur) Land-use/land-cover (LULC) maps describe the Earth’s surface with discrete classes at a specific spatial resolution. The chosen classes and resolution highly depend on peculiar uses, making it mandatory to develop methods to adapt these characteristics for a large range of applications. Recently, a convolutional neural network (CNN)-based method was introduced to take into account both spatial and geographical context to translate a LULC map into another one. However, this model only works for two maps: one source and one target. Inspired by natural language translation using multiple-language models, this article explores how to translate one LULC map into several targets with distinct nomenclatures and spatial resolutions. We first propose a new data set based on six open access LULC maps to train our CNN-based encoder-decoder framework. We then apply such a framework to convert each of these six maps into each of the others using our Multi-Landcover Translation network (MLCT-Net). Extensive experiments are conducted at a country scale (namely France). The results reveal that our MLCT-Net outperforms its semantic counterparts and gives on par results with mono-LULC models when evaluated on areas similar to those used for training. Furthermore, it outperforms the mono-LULC models when applied to totally new landscapes. Numéro de notice : A2023-075 Affiliation des auteurs : UGE-LASTIG+Ext (2020- ) Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2022.2120996 Date de publication en ligne : 10/10/2022 En ligne : https://doi.org/10.1080/13658816.2022.2120996 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=101797 [article]

Mapping the anthropic occupation of the territory. Tracing dynamics of human settlement from archaeological records and historic cartographies / Marina López Sánchez in Journal of maps, vol 18 n° 1 (January 2023)  

Public [article]  inJournal of maps > vol 18 n° 1 (January 2023) . - pp 916 - 931 Titre : Mapping the anthropic occupation of the territory. Tracing dynamics of human settlement from archaeological records and historic cartographies Type de document : Article/Communication Auteurs : Marina López Sánchez, Auteur ; Mercedes Linares Gómez Del Pulgar, Auteur ; Antonio Tejedor Cabrera, Auteur Année de publication : 2023 Article en page(s) : pp 916 - 931 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Cartographie thématique [Termes IGN] Andalousie [Termes IGN] carte ancienne [Termes IGN] convergence [Termes IGN] données localisées historiques [Termes IGN] gestion du patrimoine [Termes IGN] interconnexion [Termes IGN] patrimoine culturel [Termes IGN] paysage [Termes IGN] site archéologique [Termes IGN] système d'information géographique Résumé : (auteur) The convergence of research on landscape and heritage holds great strategic potential for establishing novel connections between the heritage resources of a territory. This text reflects on the ability of the landscape to situate inherited assets within a framework of spatial coherence in relation to the peri-urban spaces of large cities, heritage areas of great historical depth that have been particularly aggressively exposed to the urban development dynamics of the second half of the twentieth century. In order to address these often forgotten spaces, this text presents a system for heritage management argued from the standpoint of and towards the landscape and based on historical interpretation, cartographic analysis, mapping and digital documentation. Geographic technologies and graphic expression are basic pillars to integrate historical information with the language and resources of the disciplines involved in landscape planning and design, advancing criteria for a forward-looking landscape-based heritage management. Numéro de notice : A2023-053 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/01426397.2021.1921717 Date de publication en ligne : 06/05/2021 En ligne : https://doi.org/10.1080/17445647.2021.2009924 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=102385 [article]

Premier atlas IGN des cartes de l’anthropocène / Jean-Pierre Maillard in XYZ, n° 173 (décembre 2022)

Public [article]  inXYZ > n° 173 (décembre 2022) . - pp 19 - 20 Titre : Premier atlas IGN des cartes de l’anthropocène Type de document : Article/Communication Auteurs : Jean-Pierre Maillard, Auteur Année de publication : 2022 Article en page(s) : pp 19 - 20 Langues : Français (fre) Descripteur : [Vedettes matières IGN] Cartographie thématique [Termes IGN] atlas [Termes IGN] représentation du changement Résumé : (Auteur) Le 27 septembre 2022, dans les locaux de la maison du climat à Paris*, l’Institut de l’information géographique et forestière (IGN) a présenté au public le premier atlas IGN des cartes de l’anthropocène. Signalons que la maison du climat est une initiative de la maire de Paris, Anne Hidalgo, tournée vers les jeunes, notamment en écho au mouvement initié par l’activiste suédoise Greta Thunberg. Numéro de notice : A2022-911 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : sans Date de publication en ligne : 01/12/2022 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=102266 [article]

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Urban wetland fragmentation and ecosystem service assessment using integrated machine learning algorithm and spatial landscape analysis / Das Subhasis in Geocarto international, vol 37 n° 25 ([01/12/2022])  

Public [article]  inGeocarto international > vol 37 n° 25 [01/12/2022] . - pp 7800 - 7818 Titre : Urban wetland fragmentation and ecosystem service assessment using integrated machine learning algorithm and spatial landscape analysis Type de document : Article/Communication Auteurs : Das Subhasis, Auteur ; Partha Pratim Adhikary, Auteur ; Pravat Kumar Shit, Auteur ; et al., Auteur Année de publication : 2022 Article en page(s) : pp 7800 - 7818 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Cartographie thématique [Termes IGN] analyse du paysage [Termes IGN] analyse spatiale [Termes IGN] apprentissage automatique [Termes IGN] Calcutta [Termes IGN] classification par séparateurs à vaste marge [Termes IGN] image Landsat-ETM+ [Termes IGN] image Landsat-OLI [Termes IGN] image Landsat-TM [Termes IGN] Inde [Termes IGN] occupation du sol [Termes IGN] QGIS [Termes IGN] régression multiple [Termes IGN] service écosystémique [Termes IGN] zone humide [Termes IGN] zone urbaine Résumé : (auteur) Dynamics of ecosystem service value (ESV) of various wetlands has been assessed by researchers globally. But the impact of spatio-temporal variation of landscape metrics on ESV in the lower Gangetic plains has not been examined, fully. The present work has established linkages between landscape metrics and ESV in Kolkata urban agglomeration using support vector machine and multivariate regression analysis. Result indicates that wetland area has been reduced by 5.26%, 13.67% and 9.03% during the periods 1990–2000, 2000–2010 and 2010–2020, respectively and the ESV contributed by wetlands has been decreased by $131428, $323674 and $184649, respectively during the same period at an annual rate of 0.85%. Number of patches, mean patch area and edge density are the main determinants of wetland fragmentation and decreased by 44.12%, 10.23% and 8.65%, respectively during the last three decades. A wetland restoration strategy based on dynamic restoration, reactive restoration and wetland creation for the study area has been formulated, which can guide for sustainable management of wetland resources in Kolkata urban agglomeration. Numéro de notice : A2022-930 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/IMAGERIE Nature : Article DOI : 10.1080/10106049.2021.1985174 Date de publication en ligne : 03/11/2021 En ligne : https://doi.org/10.1080/10106049.2021.1985174 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=102665 [article]

Development of a novel hybrid multi-boosting neural network model for spatial prediction of urban flood / Amid Darabi in Geocarto international, vol 37 n° 19 ([15/09/2022])  

Public [article]  inGeocarto international > vol 37 n° 19 [15/09/2022] . - pp 5716 - 5741 Titre : Development of a novel hybrid multi-boosting neural network model for spatial prediction of urban flood Type de document : Article/Communication Auteurs : Amid Darabi, Auteur ; Omid Rahmati, Auteur ; Seyed Amir Naghibi, Auteur ; et al., Auteur Année de publication : 2022 Article en page(s) : pp 5716 - 5741 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Cartographie thématique [Termes IGN] aléa [Termes IGN] apprentissage automatique [Termes IGN] cartographie des risques [Termes IGN] classification et arbre de régression [Termes IGN] classification par forêts d'arbres décisionnels [Termes IGN] classification par Perceptron multicouche [Termes IGN] écoulement des eaux [Termes IGN] inondation [Termes IGN] Iran [Termes IGN] simulation spatiale [Termes IGN] zone urbaine Résumé : (auteur) In this study, a new hybridized machine learning algorithm for urban flood susceptibility mapping, named MultiB-MLPNN, was developed using a multi-boosting technique and MLPNN. The model was tested in Amol City, Iran, a data-scarce city in an ungauged area which is prone to severe flood inundation events and currently lacks flood prevention infrastructure. Performance of the hybridized model was compared with that of a standalone MLPNN model, random forest and boosted regression trees. Area under the curve, efficiency, true skill statistic, Matthews correlation coefficient, misclassification rate, sensitivity and specificity were used to evaluate model performance. In validation, the MultiB-MLPNN model showed the best predictive performance. The hybridized MultiB-MLPNN model is thus useful for generating realistic flood susceptibility maps for data-scarce urban areas. The maps can be used to develop risk-reduction measures to protect urban areas from devastating floods, particularly where available data are insufficient to support physically based hydrological or hydraulic models. Numéro de notice : A2022-708 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2021.1920629 Date de publication en ligne : 13/05/2021 En ligne : https://doi.org/10.1080/10106049.2021.1920629 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=101578 [article]

Drawing attention via diversity in thematic map design, as demonstrated by student maps of Northern South Africa / G. Schaab in International journal of cartography, vol 8 n° 2 (July 2022)  

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Characteristics of disease maps of zoonoses: A scoping review and a recommendation for a reporting guideline for disease maps / Inthuja Selvaratnam in Cartographica, vol 57 n° 2 (Summer 2022)  

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Mapping monthly population distribution and variation at 1-km resolution across China / Zhifeng Cheng in International journal of geographical information science IJGIS, vol 36 n° 6 (June 2022)  

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Novel hybrid models combining meta-heuristic algorithms with support vector regression (SVR) for groundwater potential mapping / A'Kif Al-Fugara in Geocarto international, vol 37 n° 9 ([15/05/2022])  

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L’usage des cartes en temps de guerre / Olivier Razemon in Géomètre, n° 2202 (mai 2022)

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Optimal resolution of soil properties maps varies according to their geographical extent and location / Christian Piedallu in Geoderma, vol 412 (15 April 2022)  

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Measuring and mapping long-term changes in migration flows using population-scale family tree data / Caglar Koylu in Cartography and Geographic Information Science, vol 49 n° 2 (March 2022)  

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Atlas of global change risk of population and economic systems / Peijun Shi (2022)  

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Evaluation de méthodes automatisées de cartographie des zones inondables adaptées à la prévision des crues soudaines / Nabil Hocini (2022)  

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Harmonisation de la production cartographique dans le cadre des Programmes d’Actions de Prévention des Inondations / Nils Deslandes (2022) 

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