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TerraSAR-X dual-pol time-series for mapping of wetland vegetation / Julie Betbeder in ISPRS Journal of photogrammetry and remote sensing, vol 107 (September 2015)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 107 (September 2015) . - pp 90 - 98 Titre : TerraSAR-X dual-pol time-series for mapping of wetland vegetation Type de document : Article/Communication Auteurs : Julie Betbeder, Auteur ; Sébastien Rapinel, Auteur ; Samuel Corgne, Auteur ; Eric Pottier, Auteur ; Laurence Hubert-Moy, Auteur Année de publication : 2015 Article en page(s) : pp 90 - 98 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications [Termes IGN] 1:10.000 [Termes IGN] caractérisation [Termes IGN] carte de la végétation [Termes IGN] classification par séparateurs à vaste marge [Termes IGN] données multitemporelles [Termes IGN] données polarimétriques [Termes IGN] image radar moirée [Termes IGN] image TerraSAR-X [Termes IGN] série temporelle [Termes IGN] zone humide Résumé : (auteur) Mapping vegetation formations at a fine scale is crucial for assessing wetland functions and for better landscape management. Identification and characterization of vegetation formations is generally conducted at a fine scale using ecological ground surveys, which are limited to small areas. While optical remotely sensed imagery is limited to cloud-free periods, SAR time-series are used more extensively for wetland mapping and characterization using the relationship between distribution of vegetation formations and flood duration. The aim of this study was to determine the optimal number and key dates of SAR images to be classified to map wetland vegetation formations at a 1:10,000 scale. A series of eight dual-polarization TerraSAR-X images (HH/VV) was acquired in 2013 during dry and wet seasons in temperate climate conditions. One polarimetric parameter was extracted first, the Shannon entropy, which varies with wetland flooding status and vegetation roughness. Classification runs of all the possible combinations of SAR images using different k (number of images) subsets were performed to determine the best combinations of the Shannon entropy images to identify wetland vegetation formations. The classification runs were performed using Support Vector Machine techniques and were then analyzed using the McNemar test to investigate significant differences in the accuracy of all classification runs based on the different image subsets. The results highlight the relevant periods (i.e. late winter, spring and beginning of summer) for mapping vegetation formations, in accordance with ecological studies. They also indicate that a relationship can be established between vegetation formations and hydrodynamic processes with a short time-series of satellite images (i.e. 5 dates). This study introduces a new approach for herbaceous wetland monitoring using SAR polarimetric imagery. This approach estimates the number and key dates required for wetland management (e.g. restoration) and biodiversity studies using remote sensing data. Numéro de notice : A2015-727 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern En ligne : http://www.sciencedirect.com/science/article/pii/S0924271615001380 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=78377 [article]

Road network selection for medium scales using an extended stroke-mesh combination algorithm / Stefan A. Benz in Cartography and Geographic Information Science, vol 41 n° 4 (September 2014)  

Public [article]  inCartography and Geographic Information Science > vol 41 n° 4 (September 2014) . - pp 323 - 339 Titre : Road network selection for medium scales using an extended stroke-mesh combination algorithm Type de document : Article/Communication Auteurs : Stefan A. Benz, Auteur ; Robert Weibel, Auteur Année de publication : 2014 Article en page(s) : pp 323 - 339 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées [Termes IGN] 1:10.000 [Termes IGN] 1:50.000 [Termes IGN] chaîne de production [Termes IGN] généralisation cartographique automatisée [Termes IGN] maillage [Termes IGN] point d'intérêt [Termes IGN] réseau routier [Termes IGN] Swisstopo Résumé : (auteur) The road network is an essential feature class in topographic maps and databases. Road network selection for smaller scales forms a prerequisite for all other generalization operators and is thus a fundamental operation in the overall process of topographic map and database production. The objective of this paper was to develop an algorithm for automated road network selection from a large-scale (1:10,000) to a medium-scale database (1:50,000). The project was pursued in collaboration with swisstopo, the national mapping agency of Switzerland. Three algorithms (a stroke-based, a mesh-based, and a combined stroke-mesh algorithm) were implemented from the literature and analyzed using swisstopo’s large-scale TLM3D spatial database, with requirements set forth by expert cartographers. Initial experiments showed that the combination algorithm performed best, yet still it could not meet all requirements. Therefore, extensions to the basic stroke-mesh algorithm were developed, significantly improving the selection result with real-world, large test databases. Three extensions introduce modifications to the stroke-mesh combination algorithm. Furthermore, two extensions include external feature classes, ensuring accessibility of points of interest and appropriate network density representation in settlement areas, respectively. The results were evaluated by expert cartographers, who concluded that the proposed approach is ready to be deployed in production at swisstopo. Numéro de notice : A2014-428 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/15230406.2014.928482 En ligne : https://doi.org/10.1080/15230406.2014.928482 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=73965 [article]

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Fully automated generalization of a 1:50k map from 1:10k data / Jantien E. Stoter in Cartography and Geographic Information Science, vol 41 n° 1 (January 2014)  

Public [article]  inCartography and Geographic Information Science > vol 41 n° 1 (January 2014) . - pp 1 - 13 Titre : Fully automated generalization of a 1:50k map from 1:10k data Type de document : Article/Communication Auteurs : Jantien E. Stoter, Auteur ; Marc Post, Auteur ; Vincent Van Altena, Auteur ; Ron Nijhuis, Auteur ; Ben Bruns, Auteur Année de publication : 2014 Article en page(s) : pp 1 - 13 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] 1:10.000 [Termes IGN] 1:50.000 [Termes IGN] carte topographique [Termes IGN] chaîne de production [Termes IGN] données multiéchelles [Termes IGN] données topographiques [Termes IGN] généralisation automatique de données [Termes IGN] généralisation cartographique automatisée [Termes IGN] Pays-Bas [Vedettes matières IGN] Généralisation Résumé : (Auteur) This article presents research that implements a fully automated workflow to generalize a 1:50k map from 1:10k data. This is the first time that a complete topographic map has been generalized without any human interaction. More noteworthy is that the resulting map is good enough to replace the existing map. Specifications for the automated process were established as part of this research. Replication of the existing map was not the aim, because feasibility of automated generalization is better when compliance with traditional generalizations rules is loosened and alternate approaches are acceptable. Indeed, users valued the currency and relevancy of geographical information more than complying with all existing cartographic guidelines. The development of the workflow thus started with the creation of a test map with automated generalization operations. The reason for the test map was to show what is technologically possible and to refine the results based on iterative users’ evaluation. The generalization operations (200 in total) containing the relevant algorithms and parameter values were developed and implemented in one model. Particular effort was made to enrich the source data in order to improve the results. The model is context aware which means it is able to apply different algorithms or adjust parameter values in accordance with a specific area. The result of the research is a fully automated generalization workflow that produces a countrywide map at scale 1:50k from 1:10k data in 50 hours. A fully automated workflow may be the only way to produce flexible and on-demand products; consequently, the results were implemented as a new production line in 2013. Issues for further research have been identified. Numéro de notice : A2014-183 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article DOI : 10.1080/15230406.2013.824637 En ligne : https://doi.org/10.1080/15230406.2013.824637 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=33088 [article]

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Implementation of the 1:10 000 scale for visualisation of environmental changes / Radzym Lawniczack in Cartographic journal (the), vol 50 n° 1 (February 2013)

Public [article]  inCartographic journal (the) > vol 50 n° 1 (February 2013) . - pp 82 - 90 Titre : Implementation of the 1:10 000 scale for visualisation of environmental changes Type de document : Article/Communication Auteurs : Radzym Lawniczack, Auteur ; Jaroslaw Kubiak, Auteur Année de publication : 2013 Article en page(s) : pp 82 - 90 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG [Termes IGN] 1:10.000 [Termes IGN] analyse de données [Termes IGN] carte thématique [Termes IGN] changement [Termes IGN] environnement [Termes IGN] implémentation (informatique) [Termes IGN] Pologne [Termes IGN] représentation des détails topographiques [Termes IGN] système d'information géographique [Termes IGN] visualisation cartographique Résumé : (Auteur) This paper is an elaboration of the theses proposed in ‘Cartographic presentation of forms and degradation of the natural environment: sozological map on a scale of 1:50 000’ (Lawniczak and Kubiak, 2009), where a sozological map of Poland was presented. The said map contained comprehensive cartographic information on the forms of environmental protection and degradation, made to a scale of 1:50 000. The thematic scope of the map has already been modified twice: in 1997 and in 2005, with the ensuing changes presented in corresponding manuals: Sozological Map on a Scale of 1:50 000, in an Analogue and Digital Form (Chief National Geodesist, 1997) and Technical Guidelines GIS-4. Sozological Map of Poland, Scale of 1:50 000, in an Analogue and Digital Form (2005). Many years’ worth of experience gained since the launch of this cartographic system points out to the need for broadening the presented content and improving the map’s scale. Thus, attempts have been made at rescaling the map to 1:10 000. Increasing the degree of detail is particularly necessary for presenting areas of intensive human activity. In this paper, the authors propose technical and graphical solutions for the 1:10 000 scale Numéro de notice : A2013-191 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32329 [article]

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Mapping with orbview-3 images: information content of high-resolution satellite images / Hyseyin Topan in GIM international, vol 20 n° 12 (December 2006)

Public [article]  inGIM international > vol 20 n° 12 (December 2006) . - pp 14 - 17 Titre : Mapping with orbview-3 images: information content of high-resolution satellite images Type de document : Article/Communication Auteurs : Hyseyin Topan, Auteur ; G. Buyuksalih, Auteur ; Karsten Jacobsen, Auteur Année de publication : 2006 Article en page(s) : pp 14 - 17 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Cartographie numérique [Termes IGN] 1:10.000 [Termes IGN] analyse comparative [Termes IGN] carte topographique [Termes IGN] image à résolution métrique [Termes IGN] image Ikonos [Termes IGN] image ORBVIEW [Termes IGN] limite de résolution radiométrique [Termes IGN] Turquie Résumé : (Auteur) The information content of OrbView-3 and Ikonos imagery is compared, using the Zonguldak area in Turkey as test area. Although OrbView-3 images are qualitatively slightly inferior to Ikonos panchromatic scenes, they can be used for the generation of topographic maps at scale 1:10,000. However, they are not suited for 1:5,000 mapping, for which scale Ikonos images also show limitations. Copyright Reed Business Information Numéro de notice : A2006-483 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28207 [article]

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Elaboration d'un modèle conceptuel de données à partir d'un catalogue d'objets normalisé et conversion en un modèle logique compatible avec le modèle ArcGIS / Jean-Charles Pruvost (2004)

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Specifications of a large scale line map using very high resolution satellite imagery / B. Semausu (2003)

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Constitution d'un MNT intégré terre-mer / J. Mircea (2002)

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Cartographie du risque / Hélène Lambert (2001)

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Landplan - automated generalisation comes of age / R. Gower (23/06/1997)

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The topographic maps at 10 000 by photogrammetric methods / B. Willi (1976)

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The South Africa 1: 10000 orthophoto map series / K.J. Lester in Bulletin d'information de l'Institut géographique national, n° 17 (mars 1972)

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Documents techniques provisoires au 1:10.000 / IGN in Bulletin d'information de l'Institut géographique national, n° 9 (décembre 1969)

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Edition monochrome au 1: 20000 et au 1:10000 des cartes à grande échelle de l'IGN / IGN in Bulletin d'information de l'Institut géographique national, n° 6 (janvier 1968)

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Editions monochromes des levés ou cartes à grande échelle (1:10000 et 1:20000) de l'Institut Géographique National / IGN in Bulletin d'information de l'Institut géographique national, n° 1 (novembre 1964)

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