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A disturbance inventory framework for flexible and reliable landscape monitoring / J. Linke in Photogrammetric Engineering & Remote Sensing, PERS, vol 75 n° 8 (August 2009)
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[article]
Titre : A disturbance inventory framework for flexible and reliable landscape monitoring Type de document : Article/Communication Auteurs : J. Linke, Auteur ; Gregory J. McDermid, Auteur ; D. Laskin, Auteur ; et al., Auteur Année de publication : 2009 Article en page(s) : pp 981 - 995 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] Alberta (Canada)
[Termes IGN] analyse de données
[Termes IGN] base de données d'occupation du sol
[Termes IGN] carte d'occupation du sol
[Termes IGN] détection de changement
[Termes IGN] forêt
[Termes IGN] image Landsat
[Termes IGN] image multitemporelle
[Termes IGN] occupation du sol
[Termes IGN] surveillanceRésumé : (Auteur) Remote sensing plays a key role in landscape monitoring, but our handling of these data in a multi-temporal time series is not yet fully developed. Of particular concern is the presence of spatial and thematic errors in independently created maps that distort measures of landscape pattern and constrain the reliability of change analysis. In addition, there is a need to incorporate continuous attributes of cover gradients for flexible map representations that support a variety of applications. In this paper, we present a framework for generating temporally and categorically dynamic land-cover maps that provide such a reliable and adaptable foundation. The centerpiece is a spatio-temporal disturbance-inventory database, created through semi-automated change detection and conditioned with boundary-matching procedures, which can be used to backdate and update both continuous and categorical reference maps. We demonstrate our approach using multi-annual Landsat imagery from a forested region in west-central Alberta, Canada, between the years 1998 and 2005. Copyright ASPRS Numéro de notice : A2009-310 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.14358/PERS.75.8.981 En ligne : https://doi.org/10.14358/PERS.75.8.981 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29940
in Photogrammetric Engineering & Remote Sensing, PERS > vol 75 n° 8 (August 2009) . - pp 981 - 995[article]Range of categorical associations for comparison of maps with mixed pixels / Robert Gilmore Pontius in Photogrammetric Engineering & Remote Sensing, PERS, vol 75 n° 8 (August 2009)
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Titre : Range of categorical associations for comparison of maps with mixed pixels Type de document : Article/Communication Auteurs : Robert Gilmore Pontius, Auteur ; J. Connors, Auteur Année de publication : 2009 Article en page(s) : pp 963 - 969 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] analyse comparative
[Termes IGN] décomposition du pixel
[Termes IGN] image multi sources
[Termes IGN] Massachusetts (Etats-Unis)
[Termes IGN] matrice
[Termes IGN] segmentation d'image
[Termes IGN] segmentation multi-échelleRésumé : (Auteur) This paper presents a method to compare maps that contain pixels that have partial membership to multiple categories, i.e., mixed or soft classified pixels. The method quantifies ranges for associations among categories based upon possible variations in sub-pixel spatial allocation. The paper derives the mathematical equations for constructing the range of associations based on three types of cross-tabulation matrices, the greatest matrix, the random matrix, and the least matrix. We demonstrate how the analysis can be combined with multiple resolution map comparison to specify the resolution at which clusters exist on a single map or between two maps. The method produces a range that reflects the amount of uncertainty in the categorical associations. We illustrate the procedure with both a simple example and data from the Plum Island Ecosystems study site in Massachusetts, USA. Numéro de notice : A2009-309 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.75.8.963 En ligne : https://doi.org/10.14358/PERS.75.8.963 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29939
in Photogrammetric Engineering & Remote Sensing, PERS > vol 75 n° 8 (August 2009) . - pp 963 - 969[article]vol 75 n° 8 - August 2009 - Special issue on change analysis (Bulletin de Photogrammetric Engineering & Remote Sensing, PERS) / American society for photogrammetry and remote sensing
[n° ou bulletin]
est un bulletin de Photogrammetric Engineering & Remote Sensing, PERS / American society for photogrammetry and remote sensing (1975 -)
Titre : vol 75 n° 8 - August 2009 - Special issue on change analysis Type de document : Périodique Auteurs : American society for photogrammetry and remote sensing, Auteur Année de publication : 2009 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Télédétection
[Termes IGN] analyse de données
[Termes IGN] changement d'utilisation du sol
[Termes IGN] prévention des risques
[Termes IGN] surveillance
[Termes IGN] télédétection spatiale
[Termes IGN] traitement d'imageNuméro de notice : 105-0908 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Numéro de périodique Permalink : https://documentation.ensg.eu/index.php?lvl=bulletin_display&id=10356 [n° ou bulletin] Contient
- Range of categorical associations for comparison of maps with mixed pixels / Robert Gilmore Pontius in Photogrammetric Engineering & Remote Sensing, PERS, vol 75 n° 8 (August 2009)
- A disturbance inventory framework for flexible and reliable landscape monitoring / J. Linke in Photogrammetric Engineering & Remote Sensing, PERS, vol 75 n° 8 (August 2009)
Stylistic diversity in European state 1: 50 000 topographic maps / Alexander J. Kent in Cartographic journal (the), vol 46 n° 3 (August 2009)
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Titre : Stylistic diversity in European state 1: 50 000 topographic maps Type de document : Article/Communication Auteurs : Alexander J. Kent, Auteur ; Peter Vujakovic, Auteur Année de publication : 2009 Article en page(s) : pp 179 - 213 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Cartographie
[Termes IGN] 1:50.000
[Termes IGN] analyse comparative
[Termes IGN] analyse de groupement
[Termes IGN] carte topographique
[Termes IGN] Europe (géographie politique)
[Termes IGN] langage cartographique
[Termes IGN] légende cartographique
[Termes IGN] rédaction cartographique
[Termes IGN] symbole graphiqueRésumé : (Auteur) To what extent do European state topographic maps exhibit unique styles of cartography ? This paper describes an investigation to classify and analyse stylistic diversity in the official 1 : 50 000 topographical mapping of 20 European countries. The method involves the construction of a typology of cartographic style, based upon the classification of distinct graphical legend symbols into mutually exclusive thematic categories. In order to identify stylistic similarities between national symbologies, hierarchical cluster analysis was performed to compare the relative proportions of symbols within each category. This was complemented by a qualitative analysis of various aspects of cartographic design: colour, 'white' space, visual hierarchy, and lettering. The results indicate a high degree of stylistic diversity throughout Europe, with the symbologies of Great Britain and Ireland demonstrating the strongest example of a supranational style. The typology of cartographic symbologies is shown to be an effective method for determining stylistic association among maps of differing geographical (and potentially historical) origins and it is suggested that the cartographic language paradigm should be revisited as a means for understanding why national differences persist in state cartography. A version of this paper was presented at the Twenty-third International Cartographic Conference in Moscow. Copyright British Cartographic Society Numéro de notice : A2009-404 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1179/000870409X12488753453453 En ligne : https://doi.org/10.1179/000870409X12488753453453 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30035
in Cartographic journal (the) > vol 46 n° 3 (August 2009) . - pp 179 - 213[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 030-09031 RAB Revue Centre de documentation En réserve L003 Disponible The use of LiDAR in digital surface modelling: issues and errors / C. Leigh in Transactions in GIS, vol 13 n° 4 (August 2009)
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Titre : The use of LiDAR in digital surface modelling: issues and errors Type de document : Article/Communication Auteurs : C. Leigh, Auteur ; D. Kidner, Auteur ; M.C. Thomas, Auteur Année de publication : 2009 Article en page(s) : pp 345 - 361 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] analyse de données
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] erreur géométrique
[Termes IGN] littoral
[Termes IGN] modèle numérique de surface
[Termes IGN] modèle numérique de terrain
[Termes IGN] Pays de GallesRésumé : (Auteur) Modelling and extracting 3D geographical data presents numerous challenges that require continual research to attempt to evolve an efficient, reliable and accurate solution. LiDAR data capture and analysis has become a preferred acquisition choice for elevation data because the resulting quality and level of detail far exceeds traditional methods for large survey areas. As with any data collection system, LiDAR is prone to errors. Analysing these errors, ascertaining causes and producing error correction strategies is vital if accurate and confident results are to be obtained. Eight years of LiDAR datasets (from 1998 to 2005) have been closely analysed for a large coastal area of South Wales. This article provides a detailed and accurate summary of the identified LiDAR data issues and subsequent errors which affect the accuracy of end products such as Digital Surface Models (DSMs). Copyright Blackwell Publishing Numéro de notice : A2009-527 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/j.1467-9671.2009.01168.x En ligne : https://doi.org/10.1111/j.1467-9671.2009.01168.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30156
in Transactions in GIS > vol 13 n° 4 (August 2009) . - pp 345 - 361[article]Density equalizing distortion of large geographic point sets / P. Bak in Cartography and Geographic Information Science, vol 36 n° 3 (July 2009)
PermalinkDeveloping collaborative classifiers using an Expert-based Model / Giorgos Mountrakis in Photogrammetric Engineering & Remote Sensing, PERS, vol 75 n° 7 (July 2009)
PermalinkOptimizing Support Vector Machine learning for semi-arid vegetation mapping by using clustering analysis / L. Su in ISPRS Journal of photogrammetry and remote sensing, vol 64 n° 4 (July - August 2009)
PermalinkRanking spaces for predicting human movement in an urban environment / Bin Jiang in International journal of geographical information science IJGIS, vol 23 n° 7-8 (july 2009)
PermalinkTropical cyclone trend analysis using enhanced parallel coordinates and statistical analytics / C.A. Steed in Cartography and Geographic Information Science, vol 36 n° 3 (July 2009)
PermalinkAn adaptive thresholding multiple classifiers system for remote sensing image classification / Y. Tzeng in Photogrammetric Engineering & Remote Sensing, PERS, vol 75 n° 6 (June 2009)
PermalinkClassification through consultation: public views of the geography of the e-society / Paul A. Longley in International journal of geographical information science IJGIS, vol 23 n° 6 (june 2009)
PermalinkPermalinkFusion of multi-spectral SPOT-5 images and very high resolution texture information extracted from digital orthophotos for automatic classification of complex Alpine areas / C. Mariz in International Journal of Remote Sensing IJRS, vol 30 n°11-12 (June 2009)
PermalinkInfluence of macroscale and microscale surface roughness on multi-beam RADARSAT-1 data: implications for geological mapping in the Curaçá Valley, Brazil / W.R. Paradella in Photo interprétation, European journal of applied remote sensing, vol 45 n° 2 (juin 2009)
PermalinkMétadonnées et qualité pour les systèmes de surveillance en temps réel / C. Gutierrez in Revue internationale de géomatique, vol 19 n° 2 (juin - aout 2009)
PermalinkPotentiality of feed-forward neural networks for classifying dark formations to oil spills and look-alikes / Konstantinos Topouzelis in Geocarto international, vol 24 n° 3 (June - July 2009)
PermalinkThe role of the integration of remote sensing and GIS in land use/land cover analysis after an earthquake / C. Aydoner in International Journal of Remote Sensing IJRS, vol 30 n° 7 (April 2009)
PermalinkAn assessment of geometric activity features for per-pixel classification of urban man-made objects using Very High Resolution satellite Imagery / J. Chan in Photogrammetric Engineering & Remote Sensing, PERS, vol 75 n° 4 (April 2009)
PermalinkEvaluating AISA+ hyperspectral imagery for mapping black mangrove along the South Texas gulf coast / C. Yang in Photogrammetric Engineering & Remote Sensing, PERS, vol 75 n° 4 (April 2009)
PermalinkLandsat sub-pixel analysis in mapping impact of climatic variability on prairie pothole changes / B. Zhang in Transactions in GIS, vol 13 n° 2 (April 2009)
PermalinkStar plots: how shape characteristics influence classification tasks / Alexander Klippel in Cartography and Geographic Information Science, vol 36 n° 2 (April 2009)
PermalinkAn adaptive approach to topographic feature extraction from Digital Terrain Models / Y. Song in Photogrammetric Engineering & Remote Sensing, PERS, vol 75 n° 3 (March 2009)
PermalinkAutomated urban land use and land classification for mesoscale atmospheric modeling over cities / André Leroux in Geomatica, vol 63 n° 1 (March 2009)
PermalinkCarto-Som: Cartogram creation using self-organizing maps / R. Henriques in International journal of geographical information science IJGIS, vol 23 n°3-4 (march - april 2009)
PermalinkContinuous K-nearest neighbor query for moving objects with uncertain velocity / Y. Huang in Geoinformatica, vol 13 n° 1 (March 2009)
PermalinkEstimation de l'évolution de l'artificialisation des terres à l'échelle départementale par télédétection : le cas de l'Ille et Vilaine / Rahim Aguejdad in Photo interprétation, European journal of applied remote sensing, vol 45 n° 1 (mars 2009)
PermalinkIntégration de l'analyse multidimensionnelle dans la gestion d'un réseau d'auscultation géométrique / A. Derkaoui in XYZ, n° 118 (mars - mai 2009)
PermalinkPan-European forest/non forest mapping with Landsat ETM+ and Corine Land Cover 2000 data / A. Pekkarinen in ISPRS Journal of photogrammetry and remote sensing, vol 64 n° 2 (March - April 2009)
PermalinkMapping vegetated wetlands of Alaska using L-band radar satellite imagery / Jane Whitcomb in Canadian journal of remote sensing, vol 35 n° 1 (February 2009)
PermalinkAirborne lidar feature selection for urban classification using random forests / Nesrine Chehata (2009)
PermalinkAn automated method of scale selection and sheet configuration for multiple sheet census maps with Insets / W.G. Thompson in Cartography and Geographic Information Science, vol 36 n° 1 (January 2009)
PermalinkApplication of spectral decomposition algorithm for mapping water quality in a turbid lake (Lake Kasumigaura, Japan) from Landsat TM data / Y. Oyama in ISPRS Journal of photogrammetry and remote sensing, vol 64 n° 1 (January - February 2009)
PermalinkApprentissage automatique des classes d'occupation du sol et représentation en mots visuels des images satellitaires / Marie Lauginie Lienou (2009)
PermalinkAssessing Spatial Data Infrastructure policy strategies using the multi-actor multi-criteria analysis / T. Geudens in International Journal of Spatial Data Infrastructures Research, vol 4 (Year 2009)
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PermalinkPermalinkPermalinkDétection et caractérisation de la végétation en milieu urbain à partir d'images aériennes haute résolution / Corina Iovan (2009)
PermalinkDetection of buildings at airport sites using images and lidar data and a combination of various methods / N. Demir (2009)
PermalinkDetection of multi-scale clusters in network space / S. Shiode in International journal of geographical information science IJGIS, vol 23 n° 1-2 (january 2009)
PermalinkFeature reduction using a singular value decomposition for the iterative guided spectral class rejection hybrid classifier / R. Philipps in ISPRS Journal of photogrammetry and remote sensing, vol 64 n° 1 (January - February 2009)
PermalinkPermalinkPermalinkRegion based segmentation of Quickbird multispectral imagery through band ratios and fuzzy comparison / B. Wuest in ISPRS Journal of photogrammetry and remote sensing, vol 64 n° 1 (January - February 2009)
PermalinkPermalinkPermalinkTopographic laser ranging and scanning, ch 14. Feature extraction from lidar data in urban areas / Frédéric Bretar (2009)
PermalinkArcGIS seabed characterization toolbox developed for investigating benthic habitats / M. Erdey-Heydorn in Marine geodesy, vol 31 n° 4 (December 2008)
PermalinkClassification of very high spatial resolution imagery based on the fusion of edge and multispectral information / X. Huang in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 12 (December 2008)
PermalinkComparaison de deux méthodes de cartographie de la végétation du schorre de la baie du Mont Saint-Michel : photo-interprétation raisonnée et classification automatique par espèce / Clélia Bilodeau in Photo interprétation, vol 44 n° 3 - 4 (Décembre 2008)
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