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The European GeoMetre project: developing enhanced large-scale dimensional metrology for geodesy / Florian Pollinger in Applied geomatics, vol 15 n° inconnu (2023)  

Public [article]  inApplied geomatics > vol 15 n° inconnu (2023) Titre : The European GeoMetre project: developing enhanced large-scale dimensional metrology for geodesy Type de document : Article/Communication Auteurs : Florian Pollinger, Auteur ; Sergio Baselga, Auteur ; Clément Courde, Auteur ; Cornelia Eschelbach, Auteur ; Luis García-Asenjo, Auteur ; Pascual Garrigues, Auteur ; Joffray Guillory, Auteur ; Per Olof Hedekvist, Auteur ; Tuomas Helojärvi, Auteur ; Jorma Jokela, Auteur ; Ulla Kallio, Auteur ; Thomas Klügel, Auteur ; Paul Köchert, Auteur ; Michael Lösler, Auteur ; Raquel Luján, Auteur ; Tobias Meyer, Auteur ; Pavel Neyezhmakov, Auteur ; Damien Pesce, Auteur ; et al., Auteur Année de publication : 2023 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géodésie [Termes IGN] grande échelle [Termes IGN] métrologie tridimensionnelle Résumé : (auteur) We provide a survey on the joint European research project “GeoMetre”, which explores novel technologies and their inclusion to existing surveying strategies to improve the traceability of geodetic reference frames to the SI definition of the metre. This work includes the development of novel distance meters with a range of up to 5 km, the realisation of optical multilateration systems for large structure monitoring at an operation distance of 50 m and beyond, and a novel strategy for GNSS-based distance determination. Different methods for refractivity compensation, based on classical sensors, on dispersion, on spectroscopic thermometry, and on the speed of sound to reduce the meteorological uncertainties in precise distance measurements, are developed further and characterised. These systems are validated at and applied to the novel European standard baseline EURO5000 at the Pieniny Kippen Belt, Poland, which was completely refurbished and intensely studied in this project. We use our novel instruments for a reduced uncertainty of the scale in the surveillance networks solutions for local tie measurements at space-geodetic co-location stations. We also investigate novel approaches like close-range photogrammetry to reference point determination of space-geodetic telescopes. Finally, we also investigate the inclusion of the local gravity field to consider the deviations of the vertical in the data analysis and to reduce the uncertainty of coordinate transformations in this complex problem. Numéro de notice : A2023-089 Affiliation des auteurs : IGN+Ext (2020- ) Autre URL associée : vers HAL Thématique : POSITIONNEMENT Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1007/s12518-022-00487-3 Date de publication en ligne : 20/02/2023 En ligne : https://doi.org/10.1007/s12518-022-00487-3 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=103089 [article]

Voir aussi

• Large-scale dimensional metrology for geodesy: First results from the European GeoMetre project / Florian Pollinger (2022)  

Where am I now? modelling disorientation in pan-scalar maps / Guillaume Touya in ISPRS International journal of geo-information, vol 12 n° 2 (February 2023)  

Public [article]  inISPRS International journal of geo-information > vol 12 n° 2 (February 2023) . - n° 62 Titre : Where am I now? modelling disorientation in pan-scalar maps Type de document : Article/Communication Auteurs : Guillaume Touya , Auteur ; Maieul Gruget , Auteur ; Ian Muehlenhaus, Auteur Année de publication : 2023 Article en page(s) : n° 62 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] cognition [Termes IGN] données multiéchelles [Termes IGN] échelle cartographique [Termes IGN] interaction homme-machine [Termes IGN] lecture de carte [Termes IGN] représentation mentale [Termes IGN] représentation mentale spatiale [Termes IGN] représentation multiple [Vedettes matières IGN] Généralisation Résumé : (auteur) Disorientation is a common feeling for all users of zoomable multi-scale maps, even for those with good orientation and spatial skills. We make the assumption that this problem is mainly due to the desert fog effect, documented in human–computer interaction within multi-scale zoomable environments. Starting with a collection of reported experiences of disorientation, this paper explores this notion from the spatial cognition, philosophical and human–computer interaction perspectives and proposes a model of disorientation in the exploration of multi-scale maps. We argue that disorientation is a problem of reconciliation between the current map view and the mental map of the user, where landmarks visible on the map or memorised in the mental map play a key role. The causes for failed reconciliation are discussed and illustrated by our collected experiences of disorientation. Numéro de notice : A2023-130 Affiliation des auteurs : UGE-LASTIG+Ext (2020- ) Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/ijgi12020062 En ligne : https://doi.org/10.3390/ijgi12020062 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=102585 [article]

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)  

Public [article]  inCartographica > vol 57 n° 2 (Summer 2022) . - pp 113 - 126 Titre : Characteristics of disease maps of zoonoses: A scoping review and a recommendation for a reporting guideline for disease maps Type de document : Article/Communication Auteurs : Inthuja Selvaratnam, Auteur ; Olaf Berke, Auteur ; Abhinand Thaivalappil, Auteur ; et al., Auteur Année de publication : 2022 Article en page(s) : pp 113 - 126 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Cartographie thématique [Termes IGN] analyse de données [Termes IGN] analyse spatio-temporelle [Termes IGN] carte choroplèthe [Termes IGN] données localisées [Termes IGN] échelle cartographique [Termes IGN] extraction de données [Termes IGN] lecture de carte [Termes IGN] maladie infectieuse [Termes IGN] projection Résumé : (auteur) This scoping review investigates the characteristics and reporting of disease maps of zoonoses published in the scientific literature from 2017 to 2018. Two reviewers conducted duplicate screening of titles and abstracts identified from a search in Medline and additional databases. Studies were included if they had a disease map figure describing a zoonotic disease. Map characteristics were extracted and summarized from full-text articles meeting inclusion criteria. The search identified 1666 records. A total of 302 articles meeting eligibility criteria were included, comprising 505 disease maps. While most studies (66%) used maps for descriptive exploratory purposes of identifying and representing spatial patterns visually, disease maps were also used analytically to display the results of geospatial and spatial statistical analyses in studies (34%). Most published disease maps identified in this review were reported without information that could be important for geospatial interpretations and their reproducibility. Specifically, 92% of maps in this review did not report the map projection. The findings from this scoping review support the development of a reporting guideline for thematic disease maps. Numéro de notice : A2022-635 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3138/cart-2021-0019 Date de publication en ligne : 23/06/2022 En ligne : https://doi.org/10.3138/cart-2021-0019 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=101422 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
031-2022021	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Large-scale automatic identification of urban vacant land using semantic segmentation of high-resolution remote sensing images / Lingdong Mao in Landscape and Urban Planning, vol 222 (June 2022)  

Public [article]  inLandscape and Urban Planning > vol 222 (June 2022) . - n° 104384 Titre : Large-scale automatic identification of urban vacant land using semantic segmentation of high-resolution remote sensing images Type de document : Article/Communication Auteurs : Lingdong Mao, Auteur ; Zhe Zheng, Auteur ; Xiangfeng Meng, Auteur ; et al., Auteur Année de publication : 2022 Article en page(s) : n° 104384 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] apprentissage profond [Termes IGN] Chine [Termes IGN] détection d'objet [Termes IGN] grande échelle [Termes IGN] identification automatique [Termes IGN] image à haute résolution [Termes IGN] milieu urbain [Termes IGN] occupation du sol [Termes IGN] segmentation d'image [Termes IGN] segmentation sémantique Résumé : (auteur) Urban vacant land is a growing issue worldwide. However, most of the existing research on urban vacant land has focused on small-scale city areas, while few studies have focused on large-scale national areas. Large-scale identification of urban vacant land is hindered by the disadvantage of high cost and high variability when using the conventional manual identification method. Criteria inconsistency in cross-domain identification is also a major challenge. To address these problems, we propose a large-scale automatic identification framework of urban vacant land based on semantic segmentation of high-resolution remote sensing images and select 36 major cities in China as study areas. The framework utilizes deep learning techniques to realize automatic identification and introduces the city stratification method to address the challenge of identification criteria inconsistency. The results of the case study on 36 major Chinese cities indicate two major conclusions. First, the proposed framework of vacant land identification can achieve over 90 percent accuracy of the level of professional auditors with much higher result stability and approximately 15 times higher efficiency compared to the manual identification method. Second, the framework has strong robustness and can maintain high performance in various cities. With the above advantages, the proposed framework provides a practical approach to large-scale vacant land identification in various countries and regions worldwide, which is of great significance for the academic development of urban vacant land and future urban development. Numéro de notice : A2022-267 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1016/j.landurbplan.2022.104384 Date de publication en ligne : 03/03/2022 En ligne : https://doi.org/10.1016/j.landurbplan.2022.104384 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=100275 [article]

A cost-effective algorithm for calibrating multiscale geographically weighted regression models / Bo Wu in International journal of geographical information science IJGIS, vol 36 n° 5 (May 2022)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 36 n° 5 (May 2022) . - pp 898 - 917 Titre : A cost-effective algorithm for calibrating multiscale geographically weighted regression models Type de document : Article/Communication Auteurs : Bo Wu, Auteur ; Jinbiao Yan, Auteur ; Hui Lin, Auteur ; et al., Auteur Année de publication : 2022 Article en page(s) : pp 898 - 917 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] analyse multiéchelle [Termes IGN] grande échelle [Termes IGN] hétérogénéité spatiale [Termes IGN] jeu de données [Termes IGN] modélisation spatiale [Termes IGN] régression géographiquement pondérée Résumé : (auteur) The multiscale geographically weighted regression (MGWR) model is a useful extension of the geographically weighted regression (GWR) model. MGWR, however, is a kind of Nadaraya–Watson kernel smoother, which usually leads to inaccurate estimates for the regression function and suffers from the boundary effect. Moreover, the widely used calibration technique for the MGWR with a back-fitting estimator (MGWR-BF) is computationally demanding, preventing it from being applied to large-scale data. To overcome these problems, we proposed a local linear-fitting-based MGWR (MGWR-LL) by introducing a local spatially varying coefficient model in which coefficients of different variables could be characterised as linear functions of spatial coordinates with different degrees of smoothness. Then the model was calibrated with a two-step least-squared estimated algorithm. Both simulated and actual data were implemented to validate the performance of the proposed method. The results consistently showed that the MGWR-LL automatically corrected for the boundary effect and improved the accuracy in most cases, not only in the goodness-of-fit measure but also in reducing the bias of the coefficient estimates. Moreover, the MGWR-LL significantly outperformed the MGWR-BF in computational cost, especially for larger-scale data. These results demonstrated that the proposed method can be a useful tool for the MGWR calibration. Numéro de notice : A2022-342 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2021.1999457 Date de publication en ligne : 29/11/2021 En ligne : https://doi.org/10.1080/13658816.2021.1999457 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=100516 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
079-2022051	SL	Revue	Centre de documentation	Revues en salle	Disponible

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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Dater les documents cartographiques / Jean-Luc Arnaud in e-Perimetron, vol 17 n° 1 (avril 2022)  

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A l'aide ! Je me suis perdu en zoomant / Guillaume Touya in Cartes & Géomatique, n° 247-248 (mars-juin 2022)

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ReBankment : un algorithme pour déplacer les talus sur les cartes par moindres carrés / Guillaume Touya in Cartes & Géomatique, n° 247-248 (mars-juin 2022)

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Road network generalization method constrained by residential areas / Zheng Lyu in ISPRS International journal of geo-information, vol 11 n° 3 (March 2022)  

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A 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)  

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Complexity-based matching between image resolution and map scale for multiscale image-map generation / Qian Peng in International journal of geographical information science IJGIS, vol 35 n° 10 (October 2021)  

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Developing reliably distinguishable color schemes for legends of natural resource taxonomy-based maps / Virgil Vlad in Cartography and Geographic Information Science, Vol 48 n° 5 (September 2021)  

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Searching for an optimal hexagonal shaped enumeration unit size for effective spatial pattern recognition in choropleth maps / Izabela Karsznia in ISPRS International journal of geo-information, vol 10 n° 9 (September 2021)  

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Unsupervised representation high-resolution remote sensing image scene classification via contrastive learning convolutional neural network / Fengpeng Li in Photogrammetric Engineering & Remote Sensing, PERS, vol 87 n° 8 (August 2021)  

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