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Identification of rainwater harvesting sites using SCS-CN methodology, remote sensing and Geographical Information System techniques / Tarun Kumar in Geocarto international, vol 32 n° 12 (December 2017)  

Public [article]  inGeocarto international > vol 32 n° 12 (December 2017) . - pp 1367 - 1388 Titre : Identification of rainwater harvesting sites using SCS-CN methodology, remote sensing and Geographical Information System techniques Type de document : Article/Communication Auteurs : Tarun Kumar, Auteur ; D. C. Jhariya, Auteur Année de publication : 2017 Article en page(s) : pp 1367 - 1388 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes descripteurs IGN] aquifère [Termes descripteurs IGN] conservation des ressources naturelles [Termes descripteurs IGN] eau pluviale [Termes descripteurs IGN] eau souterraine [Termes descripteurs IGN] identification automatique [Termes descripteurs IGN] image satellite [Termes descripteurs IGN] Inde [Termes descripteurs IGN] ressources en eau [Termes descripteurs IGN] ruissellement [Termes descripteurs IGN] site [Termes descripteurs IGN] système d'information géographique Résumé : (Auteur) This study presents a method to identify potential sites for soil and water conservation techniques for the demarcation of suitable sites for artificial recharge of groundwater aquifers, in the study area. The run-off derived by the Soil Conservation Service Curve Number method is a function of run-off potential which can be expressed in terms of run-off coefficient. The augmentation of water resource is proposed by the construction of rainwater harvesting structures like check dam, percolation pond, farm pond and gully check dam. The site suitability for different water harvesting structures is determined by considering spatially varying parameters like slope, infiltration, run-off potential, landuse/land cover, stream order, soil texture, land capability class, hydrological soil group and micro-watershed area. The determined suitable site has been validated with existing recharge structures of the study area. Accuracy assessment of the suitable sites for recharge structures potential maps of the Bindra watershed is 82.60%. Numéro de notice : A2017-674 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2016.1213772 En ligne : https://doi.org/10.1080/10106049.2016.1213772 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=87177 [article]

Identifying geospatial services across heterogeneous taxonomies / Anand Mehta in Geocarto international, Vol 31 n° 9 - 10 (October - November 2016)  

Public [article]  inGeocarto international > Vol 31 n° 9 - 10 (October - November 2016) . - pp 1058 - 1077 Titre : Identifying geospatial services across heterogeneous taxonomies Type de document : Article/Communication Auteurs : Anand Mehta, Auteur ; Akash Ashapure, Auteur ; Onkar Dikshit, Auteur Année de publication : 2016 Article en page(s) : pp 1058 - 1077 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web [Termes descripteurs IGN] données localisées [Termes descripteurs IGN] identification automatique [Termes descripteurs IGN] informatique [Termes descripteurs IGN] service fondé sur la position [Termes descripteurs IGN] taxinomie Résumé : (auteur) Geospatial services with different functions are assembled together to solve complex problems. Different taxonomies are developed to categorize these services into classes. As differences in granularity and semantics exist among these taxonomies, the identification of services across different taxonomies has become a challenge. In this paper, an approach to identify geospatial services across heterogeneous taxonomies is proposed. Using formal concept analysis, existing heterogeneous taxonomies are decomposed into semantic factors and their various combinations. With these semantic factors, a super taxonomy is established to integrate the original heterogeneous taxonomies. Finally, with the super taxonomy as a cross-referencing system, geospatial services with classes in original taxonomies are identifiable across taxonomies. Experiments in service registries and a social media-based spatial-temporal analysis project are presented to illustrate the effectiveness of this approach. Numéro de notice : A2016-674 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2015.1110208 date de publication en ligne : 02/12/2015 En ligne : http://dx.doi.org/10.1080/10106049.2015.1110208 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81924 [article]

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Identification and utilization of land-use type importance for land-use data generalization / Wenxiu Gao in Cartographic journal (the), Vol 53 n° 1 (February 2016)  

Public [article]  inCartographic journal (the) > Vol 53 n° 1 (February 2016) . - pp 31 - 42 Titre : Identification and utilization of land-use type importance for land-use data generalization Type de document : Article/Communication Auteurs : Wenxiu Gao, Auteur ; Alfred Stein, Auteur ; Li Yang, Auteur ; et al., Auteur Année de publication : 2016 Article en page(s) : pp 31 - 42 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes descripteurs IGN] analyse spatiale [Termes descripteurs IGN] attribut [Termes descripteurs IGN] généralisation automatique de données [Termes descripteurs IGN] identification automatique [Termes descripteurs IGN] modèle déterministe [Termes descripteurs IGN] seuillage d'image [Termes descripteurs IGN] utilisation du sol [Vedettes matières IGN] Généralisation Résumé : (Auteur) A proper characterization of land-use types is critical for constructing generalization constraints to guide and control landuse data generalization. This paper focused on identification and utilization of their importance based upon land-use distributions and application themes. First, this importance was identified using a three-step method that links a diversity index, a multiple attribute decision model and a spatial association analysis. Second, with the importance, a mathematical function was designed to determine minimum area thresholds of land-use polygons as an example of generalization constraints. Third, the importance was used to assist in the selection of generalization operators and evaluation of generalization outcomes. Fourth, a land-use dataset at 1:10 000, describing the land use of a typical rural area in Hubei province of China, was generalized towards a 1:50 000 dataset to verify the effects of the presented method and function. Three additional tests were implemented to analyze the sensitivity of the importance of land-use types on setting the minimum area threshold and generalization operations. The outcome showed that the proposed methods and functions make land-use data generalization more adaptable for in-use datasets and applications. Numéro de notice : A2016-413 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern En ligne : http://dx.doi.org/10.1179/1743277413Y.0000000054 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81280 [article]

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Designing identifiers: The approach in France in general and at IGN France in particular / Marie Lambois (2016) 

Public contenu dans 10e conférence INSPIRE de la Commission Européenne, 26 - 30 septembre 2016, Barcelone / Commission européenne (2016)   Titre : Designing identifiers: The approach in France in general and at IGN France in particular Type de document : Article/Communication Auteurs : Marie Lambois, Auteur Congrès : EU conference INSPIRE 2016 (26 - 30 septembre 2016; Barcelone, Espagne), Auteur Editeur : Paris [France] : Centre national de l'information géographique CNIG Année de publication : 2016 Importance : 16 p. Format : pdf Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Infrastructure de données [Termes descripteurs IGN] géoportail BRGM-IGN [Termes descripteurs IGN] identification automatique [Termes descripteurs IGN] métadonnées [Termes descripteurs IGN] service web Résumé : (auteur) When an Inspire infrastructure is designed, many issues are raised to make sure that the infrastructure will be interoperable, useful and convenient to maintain, many issues that go beyond Inspire requirements. Building persistent identifiers is one of these issues. The path to URI (Unique Resource Identifiers) has required several steps. The first step was at the general French level. It was necessary to define national recommendations to make sure the national infrastructure would be working. Based on the ARE3NA study about PIDs, guidelines have been designed. This document has two aspects: A pedagogic aspect first: Defining PIDs seemed a huge amount of work for many data providers. The guidelines contain an overview of existing technologies, their advantages/disadvantages and on which criteria you could pick one or the other. A minimum set of requirements: Some data providers had already defined PID so the goal was to minimize the impact of these guidelines. It appeared that the moot point in the Inspire infrastructure was to be able to make a link between dataset metadata and the service that serves this dataset. Thus, the main recommendation has been to recommend a resolvable data identifier, pointing at least to the dataset metadata. Once these guidelines have been published, IGN France has decided to work on a new URI policy. This definition was done in a context where a new database product was being designed. We had the experience of the Datalift research project around linked data and of IGN register. The choice was quickly made to use persistent URLs as identifiers. The work was carried out in a group gathering people from different backgrounds: production, research, standardization, Inspire and developments. The first step was to define on which kind of resources an identifier had to be defined (objects, metadata, CRS, documents, etc). Then for each kind of template a URL pattern was designed. This pattern had to take into account existing identifiers, potential use cases and best practices from other organisms and from the datalift project. Future works will consist in defining on which kind of resources these URLs will point and developing a redirection tool, able to point to these resources. It is still a work progress and there is a lot to do to be able to produce linked data but this first approach to sensitize producers with a first reasonable step. Numéro de notice : C2016-005 Affiliation des auteurs : IGN (2012-2019) Thématique : GEOMATIQUE Nature : Communication nature-HAL : ComSansActesPubliés-Unpublished DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=82185

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Automatic identification of building types based on topographic databases – a comparison of different data sources / Robert Hecht in International journal of cartography, vol 1 n° 1 (August 2015)  

Public [article]  inInternational journal of cartography > vol 1 n° 1 (August 2015) . - pp 18 - 31 Titre : Automatic identification of building types based on topographic databases – a comparison of different data sources Type de document : Article/Communication Auteurs : Robert Hecht, Auteur ; Gotthard Meinel, Auteur ; Manfred F. Buchroithner, Auteur Année de publication : 2015 Article en page(s) : pp 18 - 31 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées [Termes descripteurs IGN] apprentissage automatique [Termes descripteurs IGN] base de données topographiques [Termes descripteurs IGN] bâtiment [Termes descripteurs IGN] classification par forêts aléatoires [Termes descripteurs IGN] emprise au sol [Termes descripteurs IGN] généralisation cartographique automatisée [Termes descripteurs IGN] identification automatique [Termes descripteurs IGN] reconnaissance de formes Résumé : (auteur) Data, maps and services of the national mapping and cadastral agencies contain geometric information on buildings, particularly building footprints. However, building type information is often not included. In this paper, we propose a data-driven approach for automatic classification of building footprints that make use of pattern recognition and machine learning techniques. Using a Random Forest Classifier the suitability of five different data sources (e.g. topographic raster maps, cadastral databases or digital landscape models) is investigated with respect to the achieved accuracies. The results of this study show that building footprints obtained from topographic databases such as digital landscape models, cadastral databases or 3D city models can be classified with an accuracy of 90–95%. When classifying building footprints on the basis of topographic maps the accuracy is considerably lower (as of 76–88%). The automatic classification of building footprints provides an important contribution to the acquisition of new small-scale indicators on settlement structure, such as building density, floor space ratio or dwelling/population densities. In addition to its importance for urban research and planning, the results are also relevant for cartographic disciplines, such as map generalization, automated mapping and geovisualization. Numéro de notice : A2015-434 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern En ligne : http://www.tandfonline.com/doi/full/10.1080/23729333.2015.1055644#abstract Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=76883 [article]

Fully polarimetric synthetic aperture radar (SAR) processing for crop type identification / Gang Hong in Photogrammetric Engineering & Remote Sensing, PERS, vol 81 n° 2 (February 2015)

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Towards an enhanced understanding of airborne LiDAR measurements of forest vegetation / Aarne Hovi (2015)  

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An accurate and computationally efficient algorithm for ground peak identification in large footprint waveform LiDAR data / Wei Zhuang in ISPRS Journal of photogrammetry and remote sensing, vol 95 (September 2014)

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Demarcating new boundaries: mapping virtual polycentric communities through social media content / Anthony Stefanidis in Cartography and Geographic Information Science, vol 40 n° 2 (March 2013)  

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Identification of styles in topographic maps / Jérémie Ory (August 2013)    

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Automatic fuzzy clustering using modified differential evolution for image classification / U. Maulik in IEEE Transactions on geoscience and remote sensing, vol 48 n° 9 (September 2010)

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Identification and analysis of groundwater potential zones in Ken-Betwa river linking area using remote sensing and geographic information system / R. Avtar in Geocarto international, vol 25 n° 5 (August 2010)  

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Automatic identification of high streets and classification of urban land use in large scale topographic database / Omair Chaudhry (2010) 

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Artificial immune-based supervised classifier for land-cover classification / M. Pal in International Journal of Remote Sensing IJRS, vol 29 n° 7 (April 2008)

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Species identification of individual trees by combining high resolution LiDAR data with multi-spectral images / J. Holmgren in International Journal of Remote Sensing IJRS, vol 29 n° 5 (March 2008)

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