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Design and implementation of a distributed GIS portal for oil spill and harmful algal bloom monitoring in the marine environment / E.O. Tuama in Marine geodesy, vol 30 n° 1-2 (March - June 2007)
[article]
Titre : Design and implementation of a distributed GIS portal for oil spill and harmful algal bloom monitoring in the marine environment Type de document : Article/Communication Auteurs : E.O. Tuama, Auteur ; T. Hamre, Auteur Année de publication : 2007 Article en page(s) : pp 145 - 168 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG
[Termes IGN] algue
[Termes IGN] Copernicus (programme européen)
[Termes IGN] eau de mer
[Termes IGN] fusion de données multisource
[Termes IGN] géoportail
[Termes IGN] hydrocarbure
[Termes IGN] image multi sources
[Termes IGN] INSPIRE
[Termes IGN] interface web
[Termes IGN] marée noire
[Termes IGN] métadonnées
[Termes IGN] milieu marin
[Termes IGN] serveur de données localisées
[Termes IGN] système d'information géographique
[Termes IGN] Web Map ServiceRésumé : (Auteur) A web-based distributed system for monitoring and forecasting of the marine environment has been developed in line with INfrastructure for SPatial InfoRmation in Europe (INSPIRE) and Global Monitoring for Environment and Security (GMES) recommendations for a European Spatial Data Infrastructure (SDI). This system, called DISPRO, enables integration and distribution of multi-source data from satellites, aircraft, and in situ instruments, as well as results from numerical models. Geographic data and metadata are stored on a set of distributed computer nodes and retrieved and integrated by a web GIS client by means of Open Geospatial Consortium (OGC) Web Map Server (WMS) technologies. A profile of ISO 19115 was developed for metadata handling, using eXtensible Markup Language (XML) as a platform independent encoding mechanism. DISPRO has been demonstrated in six European coastal zone and ocean regions in the spring and summer of 2005. The overall positive experiences of both service providers and end users indicate that the system should be further developed into an operational GMES service. Copyright Taylor & Francis Numéro de notice : A2007-439 Affiliation des auteurs : non IGN Thématique : FORET/GEOMATIQUE Nature : Article DOI : 10.1080/01490410701296671 En ligne : https://doi.org/10.1080/01490410701296671 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28802
in Marine geodesy > vol 30 n° 1-2 (March - June 2007) . - pp 145 - 168[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 230-07011 RAB Revue Centre de documentation En réserve L003 Disponible Extended Hausdorff distance for spatial objects in GIS / D. Min in International journal of geographical information science IJGIS, vol 21 n° 3-4 (march - april 2007)
[article]
Titre : Extended Hausdorff distance for spatial objects in GIS Type de document : Article/Communication Auteurs : D. Min, Auteur ; L. Zhilin, Auteur ; C. Xiaoyong, Auteur Année de publication : 2007 Article en page(s) : pp 459 - 475 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] centroïde
[Termes IGN] distance de Hausdorff
[Termes IGN] distance euclidienne
[Termes IGN] fusion de données multisource
[Termes IGN] indicateur spatial
[Termes IGN] objet géographique
[Termes IGN] système d'information géographiqueRésumé : (Auteur) Distance is a fundamental concept in spatial sciences. Spatial distance is a very important parameter to measure the relative positions between spatial objects and to indicate the degree of similarity between neighbouring objects. Indeed, spatial distance plays an important role in many areas such as neighbourhood analysis, structural similarity measure, image (or object) matching, clustering analysis, and so on. In this paper, existing computational models for the distance between spatial objects are evaluated and their problems pointed out ; then, the concept of the Hausdorff distance is introduced as a metric indicator for different types of spatial objects. This distance is extended to a uniform representation by the introduction of the quantile, leading to the extended Hausdorff distance. Indeed, the so-called extended Hausdorff distance is, in fact, a kind of metric characterized by the minimum distance, the Hausdorff distance, and the median Hausdorff distance. The first two can be used for measuring the dispersion and the last one for measuring the central tendency of the distance distribution between spatial objects. A method termed the b.epsi-buffer has been proposed for the computation of the median Hausdorff distance. Finally, potential applications are discussed. Copyright Taylor & Francis Numéro de notice : A2007-121 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810601073315 En ligne : https://doi.org/10.1080/13658810601073315 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28484
in International journal of geographical information science IJGIS > vol 21 n° 3-4 (march - april 2007) . - pp 459 - 475[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 079-07021 RAB Revue Centre de documentation En réserve L003 Disponible 079-07022 RAB Revue Centre de documentation En réserve L003 Disponible Estimation of local forest attributes, utilizing two-phase sampling and auxiliary data / Sakari Tuominen (2007)
Titre : Estimation of local forest attributes, utilizing two-phase sampling and auxiliary data Type de document : Thèse/HDR Auteurs : Sakari Tuominen, Auteur ; Simo Poso, Directeur de thèse Editeur : Helsinki [Finlande] : Faculty of Agriculture and Forestry of the University of Helsinki Année de publication : 2007 Autre Editeur : Helsinki [Finland] : The Finnish Society of Forest Science Importance : 46 p. Format : 21 x 30 cm ISBN/ISSN/EAN : 978-951-651-170-5 Note générale : bibliographie
Academic dissertation to be presented, with the permission of the Faculty of Agriculture and Forestry of University of Helsinki, for public criticism in Auditorium 2, Forest Sciences' Building, Latokartanonkaari 9, HelsinkiLangues : Anglais (eng) Descripteur : [Termes IGN] analyse comparative
[Termes IGN] base de données forestières
[Termes IGN] échantillonnage
[Termes IGN] extraction de données
[Termes IGN] Finlande
[Termes IGN] forêt
[Termes IGN] fusion de données multisource
[Termes IGN] gestion forestière
[Termes IGN] image à très haute résolution
[Termes IGN] image aérienne
[Termes IGN] image spectrale
[Termes IGN] inventaire forestier (techniques et méthodes)
[Termes IGN] inventaire forestier étranger (données)
[Termes IGN] placette d'échantillonnage
[Vedettes matières IGN] Inventaire forestierRésumé : (auteur) This thesis examines the feasibility of a forest inventory method based on two-phase sampling in estimating forest attributes at the stand or substand levels for forest management purposes. The method is based on multi-source forest inventory combining auxiliary data consisting of remote sensing imagery or other geographic information and field measurements. Auxiliary data are utilized as first-phase data for covering all inventory units. Various methods were examined for improving the accuracy of the forest estimates. Pre-processing of auxiliary data in the form of correcting the spectral properties of aerial imagery was examined (I), as was the selection of aerial image features for estimating forest attributes (II). Various spatial units were compared for extracting image features in a remote sensing aided forest inventory utilizing very high resolution imagery (III). A number of data sources were combined and different weighting procedures were tested in estimating forest attributes (IV, V). Correction of the spectral properties of aerial images proved to be a straightforward and advantageous method for improving the correlation between the image features and the measured forest attributes. Testing different image features that can be extracted from aerial photographs (and other very high resolution images) showed that the images contain a wealth of relevant information that can be extracted only by utilizing the spatial organization of the image pixel values. Furthermore, careful selection of image features for the inventory task generally gives better results than inputting all extractable features to the estimation procedure. When the spatial units for extracting very high resolution image features were examined, an approach based on image segmentation generally showed advantages compared with a traditional sample plot-based approach. Combining several data sources resulted in more accurate estimates than any of the individual data sources alone. The best combined estimate can be derived by weighting the estimates produced by the individual data sources by the inverse values of their mean square errors. Despite the fact that the plot-level estimation accuracy in two-phase sampling inventory can be improved in many ways, the accuracy of forest estimates based mainly on single-view satellite and aerial imagery is a relatively poor basis for making stand-level management decisions. Note de contenu : Introduction
1 - Two-phase sampling in forest inventory
2 - Remote sensing in forest inventory
3 - Objectives of the thesis and substudies
4 - Materials
5 - Results
6 - DiscussionNuméro de notice : 21697 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Thèse étrangère Note de thèse : Thesis : Forestry : Helsinki : 2007 En ligne : https://helda.helsinki.fi/handle/10138/20667 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=90940 Automatically conflating road vector data with orthoimagery / C.C. Chen in Geoinformatica, vol 10 n° 4 (December 2006)
[article]
Titre : Automatically conflating road vector data with orthoimagery Type de document : Article/Communication Auteurs : C.C. Chen, Auteur ; Craig A. Knoblock, Auteur ; C. Shabani, Auteur Année de publication : 2006 Article en page(s) : pp 495 - 530 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] appariement de modèles conceptuels de données
[Termes IGN] automatisation
[Termes IGN] Californie (Etats-Unis)
[Termes IGN] cohérence des données
[Termes IGN] conflation
[Termes IGN] données multisources
[Termes IGN] données vectorielles
[Termes IGN] fusion de données multisource
[Termes IGN] intégration de données
[Termes IGN] Montana (Etats-Unis)
[Termes IGN] orthoimage
[Termes IGN] point d'appui
[Termes IGN] réseau routierRésumé : (Auteur) Recent growth of the geospatial information on the web has made it possible to easily access a wide variety of spatial data. The ability to combine various sets of geospatial data into a single composite dataset has been one of central issues of modern geographic information processing. By conflating diverse spatial datasets, one can support a rich set of queries that could have not been answered given any of these sets in isolation. However, automatically conflating geospatial data from different data sources remains a challenging task. This is because geospatial data obtained from various data sources may have different projections, different accuracy levels and different formats (e.g., raster or vector format), thus resulting in various positional inconsistencies. Most of the existing algorithms only deal with vector to vector data conflation or require human intervention to accomplish vector data to imagery conflation. In this paper, we describe a novel geospatial data fusion approach, named AMS-Conflation, which achieves automatic vector to imagery conflation. We describe an efficient technique to automatically generate control point pairs from the orthoimagery and vector data by exploiting the information from the vector data to perform localized image processing on the orthoimagery. We also evaluate a filtering technique to automatically eliminate inaccurate pairs from the generated control points. We show that these conflation techniques can automatically align the roads in orthoimagery, such that 75% of the conflated roads are within 3.6 meters from the real road axes compared to 35% for the original vector data for partial areas of the county of St. Louis, MO. Copyright Springer Numéro de notice : A2006-549 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1007/s10707-006-0344-6 En ligne : https://doi.org/10.1007/s10707-006-0344-6 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28272
in Geoinformatica > vol 10 n° 4 (December 2006) . - pp 495 - 530[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 057-06041 RAB Revue Centre de documentation En réserve L003 Disponible Comparison of DEM generation and combination methods using high resolution optical stereo imagery and interferometric SAR data / D. Hoja in Revue Française de Photogrammétrie et de Télédétection, n° 184 (Décembre 2006)
[article]
Titre : Comparison of DEM generation and combination methods using high resolution optical stereo imagery and interferometric SAR data Type de document : Article/Communication Auteurs : D. Hoja, Auteur ; Peter Reinartz, Auteur ; Manfred Schroeder, Auteur Année de publication : 2006 Conférence : ISPRS 2006, Commission 1 Symposium, From sensors to imagery 03/07/2006 06/07/2006 Champs-sur-Marne [Paris Marne-la-Vallée] France OA ISPRS Archives Article en page(s) : pp 89 - 94 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique
[Termes IGN] analyse comparative
[Termes IGN] Barcelone
[Termes IGN] Bavière (Allemagne)
[Termes IGN] couple stéréoscopique
[Termes IGN] fusion de données multisource
[Termes IGN] image à résolution métrique
[Termes IGN] image ERS
[Termes IGN] image Ikonos
[Termes IGN] image optique
[Termes IGN] image radar moirée
[Termes IGN] image SPOT 5
[Termes IGN] modèle numérique de surfaceRésumé : (Auteur) Digital elevation models (DEM) from satellite data are generated mainly from two types of datasets using completely different methods: photogrammetry for optical stereo images (e.g. SPOT5, IKONOS) and interferometry for Synthetic Aperture Radar data (InSAR, e.g. ERS-Tandem, SRTM). Both generation methods show advantages and disadvantages but have similar accuracy values in comparison to a reference DEM. The paper aims at showing the potential for combined usage of several DSM (derived with different sensors and methods) to improve the overall accuracy. Some results are given for DEM fusion utilizing height error maps for each DSM and for DEM integration, where single point information from another DSM is inserted during the triangulation process. The quality of the DSM derived from one source and of the combined DSM depends on the steepness of the terrain and on the land cover type. For flat terrain or moderate hilly landscapes, a height accuracy in the order of 5 meters or better can be achieved for the mentioned sensors. Two test areas are chosen, where many different data sets are available and much knowledge exists from previous studies. The first test area is a region in the south-eastern part of Bavaria comprising a mostly hilly, post-glacial landscape including lakes and also mountains of the German Alps. The second test area is located in Catalonia, Spain, and includes the city of Barcelona as well as a mostly hilly terrain with some steep slopes and additionally the Mediterranean coast. The received DSM are compared qualitatively and quantitatively to the reference DEM with superior quality by looking at profiles and sub-area statistics. The results show that an improvement of the fused DSM and the integrated DSM can be quantitatively measured. Although the overall statistics for a larger region does show only a slight improvement, local errors can be reduced significantly so that the overall accuracy of the combined DSM is higher. Copyright SFPT Numéro de notice : A2006-641 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans En ligne : https://www.isprs.org/proceedings/XXXVI/part1/Papers/T07-29.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28364
in Revue Française de Photogrammétrie et de Télédétection > n° 184 (Décembre 2006) . - pp 89 - 94[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 018-06041 RAB Revue Centre de documentation En réserve L003 Disponible A snake-based approach for TIGER data conflation / W. Song in Cartography and Geographic Information Science, vol 33 n° 4 (October 2006)PermalinkMethod for detecting apparent differences between spatial tessellations at different time points / A. Masuyama in International journal of geographical information science IJGIS, vol 20 n° 6 (july 2006)PermalinkAssessment and comparison of registration algorithms between aerial images and laser point clouds / A. Pothou in Revue Française de Photogrammétrie et de Télédétection, n° 182 (Juin 2006)PermalinkA proposed framework for feature-level geospatial data sharing: a case study for transportation network data / Z.R. Peng in International journal of geographical information science IJGIS, vol 19 n° 4 (april 2005)PermalinkThe contribution of the sources separation method in the decomposition of mixed pixels / Mohamed Saber Naceur in IEEE Transactions on geoscience and remote sensing, vol 42 n° 11 (November 2004)PermalinkA feature-based approach to conflation of geospatial sources / Ashok Samal in International journal of geographical information science IJGIS, vol 18 n° 5 (august 2004)Permalinkvol 58 n° 1-2 - June - December 2003 - Algorithms and techniques for multi-source data fusion in urban areas (Bulletin de ISPRS Journal of photogrammetry and remote sensing) / Paolo GambaPermalinkTransformation of datasets in a linear-based map conflation framework / Y. Doytsher in Surveying and land information systems, vol 61 n° 3 (01/09/2001)PermalinkGeostatistic for conflation and accuracy assessment of digital elevation models / P.C. Kyriakidis in International journal of geographical information science IJGIS, vol 13 n° 7 (november 1999)PermalinkFuture trends in remote sensing / P. Gudmandsen (1998)PermalinkFundamentals of Geographic Information Systems / M.N. Demers (1997)PermalinkRadargrammetric image processing / Franz W. Leberl (1990)Permalink