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Sensitivity of spectral reflectance values to different burn and vegetation ratios: A multi-scale approach applied in a fire affected area / Magdalini Pleniou in ISPRS Journal of photogrammetry and remote sensing, vol 79 (May 2013)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 79 (May 2013) . - pp 199 - 210 Titre : Sensitivity of spectral reflectance values to different burn and vegetation ratios: A multi-scale approach applied in a fire affected area Type de document : Article/Communication Auteurs : Magdalini Pleniou, Auteur ; Nikos Koustias, Auteur Année de publication : 2013 Article en page(s) : pp 199 - 210 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] affinage d'image [Termes IGN] analyse comparative [Termes IGN] classification par maximum de vraisemblance [Termes IGN] Grèce [Termes IGN] image Ikonos [Termes IGN] image Landsat-SWIR [Termes IGN] image Terra-ASTER [Termes IGN] incendie de forêt [Termes IGN] rayonnement proche infrarouge [Termes IGN] régression multiple [Termes IGN] sol nu Résumé : (Auteur) The aim of our study was to explore the spectral properties of fire-scorched (burned) and non fire-scorched (vegetation) areas, as well as areas with different burn/vegetation ratios, using a multisource multiresolution satellite data set. A case study was undertaken following a very destructive wildfire that occurred in Parnitha, Greece, July 2007, for which we acquired satellite images from LANDSAT, ASTER, and IKONOS. Additionally, we created spatially degraded satellite data over a range of coarser resolutions using resampling techniques. The panchromatic (1 m) and multispectral component (4 m) of IKONOS were merged using the Gram-Schmidt spectral sharpening method. This very high-resolution imagery served as the basis to estimate the cover percentage of burned areas, bare land and vegetation at pixel level, by applying the maximum likelihood classification algorithm. Finally, multiple linear regression models were fit to estimate each land-cover fraction as a function of surface reflectance values of the original and the spatially degraded satellite images. The main findings of our research were: (a) the Near Infrared (NIR) and Short-wave Infrared (SWIR) are the most important channels to estimate the percentage of burned area, whereas the NIR and red channels are the most important to estimate the percentage of vegetation in fire-affected areas; (b) when the bi-spectral space consists only of NIR and SWIR, then the NIR ground reflectance value plays a more significant role in estimating the percent of burned areas, and the SWIR appears to be more important in estimating the percent of vegetation; and (c) semi-burned areas comprising 45–55% burned area and 45–55% vegetation are spectrally closer to burned areas in the NIR channel, whereas those areas are spectrally closer to vegetation in the SWIR channel. These findings, at least partially, are attributed to the fact that: (i) completely burned pixels present low variance in the NIR and high variance in the SWIR, whereas the opposite is observed in completely vegetated areas where higher variance is observed in the NIR and lower variance in the SWIR, and (ii) bare land modifies the spectral signal of burned areas more than the spectral signal of vegetated areas in the NIR, while the opposite is observed in SWIR region of the spectrum where the bare land modifies the spectral signal of vegetation more than the burned areas because the bare land and the vegetation are spectrally more similar in the NIR, and the bare land and burned areas are spectrally more similar in the SWIR. Numéro de notice : A2013-237 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2013.02.016 En ligne : https://doi.org/10.1016/j.isprsjprs.2013.02.016 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32375 [article]

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A sparse image fusion algorithm with application to pan-sharpening / Xiao Xiang Zhu in IEEE Transactions on geoscience and remote sensing, vol 51 n° 5 Tome 1 (May 2013)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 51 n° 5 Tome 1 (May 2013) . - pp 2827 - 2836 Titre : A sparse image fusion algorithm with application to pan-sharpening Type de document : Article/Communication Auteurs : Xiao Xiang Zhu, Auteur ; Richard Bamler, Auteur Année de publication : 2013 Article en page(s) : pp 2827 - 2836 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] compression d'image [Termes IGN] fusion d'images [Termes IGN] image à haute résolution [Termes IGN] image Geoeye [Termes IGN] image Ikonos [Termes IGN] image panchromatique [Termes IGN] image Quickbird [Termes IGN] méthode robuste [Termes IGN] pansharpening (fusion d'images) Résumé : (Auteur) Data provided by most optical Earth observation satellites such as IKONOS, QuickBird, and GeoEye are composed of a panchromatic channel of high spatial resolution (HR) and several multispectral channels at a lower spatial resolution (LR). The fusion of an HR panchromatic and the corresponding LR spectral channels is called “pan-sharpening.” It aims at obtaining an HR multispectral image. In this paper, we propose a new pan-sharpening method named Sparse Fusion of Images (SparseFI, pronounced as “sparsify”). SparseFI is based on the compressive sensing theory and explores the sparse representation of HR/LR multispectral image patches in the dictionary pairs cotrained from the panchromatic image and its downsampled LR version. Compared with conventional methods, it “learns” from, i.e., adapts itself to, the data and has generally better performance than existing methods. Due to the fact that the SparseFI method does not assume any spectral composition model of the panchromatic image and due to the super-resolution capability and robustness of sparse signal reconstruction algorithms, it gives higher spatial resolution and, in most cases, less spectral distortion compared with the conventional methods. Numéro de notice : A2013-259 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2012.2213604 En ligne : https://doi.org/10.1109/TGRS.2012.2213604 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32397 [article]

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Cartography from pole to pole [ICC 2013] / Manfred F. Buchroithner (2013)  

Public Titre : Cartography from pole to pole [ICC 2013] : selected contributions to the XXVIth [26th] international conference of the ICA, Dresden, 2013 Type de document : Actes de congrès Auteurs : Manfred F. Buchroithner, Éditeur scientifique ; Nikolas Prechtel, Éditeur scientifique ; Dirk Burghardt, Éditeur scientifique Editeur : Berlin, Heidelberg, Vienne, New York, ... : Springer Année de publication : 2013 Collection : Lecture notes in Geoinformation and Cartography Sous-collection : Publications of the International Cartographic Association ICA Conférence : ICC 2013, 26th International Cartographic Conference ICA 25/08/2013 30/08/2013 Dresde Allemagne OA proceedings Importance : 496 p. Format : 16 x 24 cm ISBN/ISSN/EAN : 978-3-642-32617-2 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Cartographie [Termes IGN] analyse spatiale [Termes IGN] carte archéologique [Termes IGN] carte en 3D [Termes IGN] carte interactive [Termes IGN] cartographie géologique [Termes IGN] cartographie numérique [Termes IGN] données démographiques [Termes IGN] données environnementales [Termes IGN] données localisées [Termes IGN] données spatiotemporelles [Termes IGN] données topographiques [Termes IGN] image Ikonos [Termes IGN] implémentation (informatique) [Termes IGN] infrastructure mondiale des données localisées [Termes IGN] Mercator (logiciel) [Termes IGN] modélisation environnementale [Termes IGN] pôle [Termes IGN] projection [Termes IGN] système d'information géographique [Termes IGN] télédétection [Termes IGN] toponymie Résumé : (Editeur) This volume comprehends a selection of papers presented during the 26th International Cartographic Conference held in Dresden from the 26th to the 30th of August 2013. It covers many fields of relevant Mapping and GIS research subjects, such as cartographic applications, cartographic tools, generalisation and update Propagation, higher dimensional visualisation and augmented reality, planetary mapping issues, cartography and environmental modelling, user generated content and spatial data infrastructure, use and usability as well as cartography and GIS in education. Note de contenu : Part 1 - Cartographic Applications - GéoPeuple: The Creation and the Analysis of Topographic and Demographic Data Over 200 Years (Anne Ruas, Christine Plumejeaud, Lucie Nahassia, Eric Grosso, Ana-Maria Olteanu, Benoit Costes, Marie-Christine Vouloir and Claude Motte) - Implementation of Cartographic and Digital Techniques in Orienteering Maps (László Zentai) - Map Projection Reconstruction of a Map by Mercator (Marina Rajakovic?, Ivka Kljajic? and Miljenko Lapaine) - The Pole is Impracticable but There is a Land Northward: Austro–Hungarian Pole Expedition and Mapping of the Franz Joseph Land (Mirela Altic?) Part 2 - Cartographic Tools - Enhancing the Locational Perception of Soft Classified Satellite Imagery Through Evaluation and Development of the Pixel Swapping Technique (Milad Niroumand Jadidi, Mahmoud Reza Sahebi and Mehdi Mokhtarzade) - A Digital Watermark Algorithm for Tile Map Stored by Indexing Mechanism (Na Ren, Chang-qing Zhu, Shu-jing Ren and Yi-shu Zhu) Part 3 - Generalisation and Update Propagation - Towards Cartographic Constraint Formalization for Quality Evaluation (Xiang Zhang, Tinghua Ai, Jantien Stoter and Jingzhong Li) - Preservation and Modification of Relations Between Thematic and Topographic Data Throughout Thematic Data Migration Process (Kusay Jaara, Cécile Duchêne and Anne Ruas) - A Novel Approach of Selecting Arterial Road Network for Route Planning Purpose (Hongchao Fan, Hongbo Gong and Qing Fu) - A Propagating Update Method of Multi-Represented Vector Map Data Based on Spatial Objective Similarity and Unified Geographic Entity Code (Yanxia Wang, Qingyun Du, Fu Ren and Zhiyuan Zhao) Part 4 - Higher Dimensional Visualisation and Augmented Reality - Visualization of Trajectory Attributes in Space–Time Cube and Trajectory Wall (Gennady Andrienko, Natalia Andrienko, Heidrun Schumann and Christian Tominski) - Visual Analysis of Lightning Data Using Space–Time-Cube (Stefan Peters, Hans-Dieter Betz and Liqiu Meng) - Silhouette-Based Label Placement in Interactive 3D Maps (Christine Lehmann and Jürgen Döllner) - A Framework for the Automatic Geometric Repair of CityGML Models (Junqiao Zhao, Jantien Stoter and Hugo Ledoux) - Augmented Reality Visualization of Archeological Data (Daniel Eggert, Dennis Hücker and Volker Paelke) - The Virtual Centimeter World Model (Franz Leberl) Part 5 - Planetary Mapping Issues - Jacobi Conformal Projection of the Triaxial Ellipsoid: New Projection for Mapping of Small Celestial Bodies (Maxim V. Nyrtsov, Maria E. Fleis, Michael M. Borisov and Philip J. Stooke) - Exploring Martian Climatologic Data Using Geovisualization: MARSIG a Spatio-Temporal Information System for Planetary Science (Paule-Annick Davoine, Christine Plumejeaud, Marlène Villanova-Oliver, Isaac Bareto, Pierre Beck, Bernad Schmit and Jérôme Gensel) - A Framework for Planetary Geologic Mapping (Andrea Naß and Stephan van Gasselt) - On the Concept and Integration of Geologic Time in Planetary Mapping (Stephan van Gasselt and Andrea Nass) Part 6 - Cartography and Environmental Modelling - Reservoir Water-Transparency Mapping by Means of Multispectral Ikonos Imagery (Adriana Castreghini de Freitas Pereira) - Landslide Susceptibility Mapping Along the National Road 32 of Vietnam Using GIS-Based J48 Decision Tree Classifier and Its Ensembles (Dieu Tien Bui, Tien Chung Ho, Inge Revhaug, Biswajeet Pradhan and Duy Ba Nguyen) - GIS-Based Landslide Susceptibility Mapping Using Remote Sensing Data and Machine Learning Methods (Fu Ren and Xueling Wu) - A New Algorithm for Extracting Drainage Networks from Gridded DEMs (Tao Wang) Part 7 - User Generated Content and Spatial Data Infrastructure -The Visitors: A Collective Methodology for Encountering and Documenting an Unfamiliar Cityscape (Laurene Vaughan) - Towards a Spatial Analysis of Toponym Endings (Tobias Dahinden) - A Contextual ICA Stakeholder Model Approach for the Namibian Spatial Data Infrastructure (NamSDI) (Kisco M. Sinvula, Serena Coetzee, Antony K. Cooper, Emma Nangolo, Wiafe Owusu-Banahene, Victoria Rautenbach and Martin Hipondoka) - Exploring the Impact of a Spatial Data Infrastructure on Value-Added Resellers and Vice Versa (Antony K. Cooper, Serena Coetzee, Petr Rapant, Dominique Laurent, David M. Danko, Adam Iwaniak, Ammatzia Peled, Harold Moellering and Ulrich Düren) Part 8 - Use and Usability - Geospatial Data Collection/Use in Disaster Response: A United States Nationwide Survey of State Agencies (Michael E. Hodgson, Sarah E. Battersby, Bruce A. Davis, Shufan Liuand Leanne Sulewski) - Commonalities and Differences in Eye Movement Behavior When Exploring Aerial and Terrestrial Scenes (Sebastian Pannasch, Jens R. Helmert, Bruce C. Hansen, Adam M. Larson and Lester C. Loschky) - Understanding Soil Acidification Process Using Animation and Text: An Empirical User Evaluation With Eye Tracking (P. Russo, C. Pettit, A. Coltekin, M. Imhof, M. Cox and C. Bayliss) Part 9 - Cartography and GIS in Education - Perspectives on Developing Critical Human GI Capacity in a Developing Country Context (Felicia O. Akinyemi) - Issues in Cartographic Education: How and How Many? (David Fairbairn) - The State of GISc Education and SDI Implementation in the SADC Countries: A Comparative Study (Sanet Eksteen and Serena Coetzee) - New Technologies as Educational Resources for Teaching Cartography: A Case Study in Guinea-Bissau (Inês Mario Nosoline, Angelica C.) Numéro de notice : 20992 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Actes DOI : 10.1007/978-3-642-32618-9 En ligne : http://dx.doi.org/10.1007/978-3-642-32618-9 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=34955

Contient

• Preservation and modification of relations between thematic and topographic data throughout thematic data migration process / Kusay Jaara (August 2013)  
• Exploring the impact of a spatial data infrastructure on value-added resellers and vice versa / Anthony K. Cooper (2014)  
• GéoPeuple: The creation and the analysis of topographic and demographic data over 200 years / Anne Ruas (2013)  

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Super-resolution image analysis as a means of monitoring bracken (Pteridium aquilinum) distributions / Jennie Holland in ISPRS Journal of photogrammetry and remote sensing, vol 75 (January 2013)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 75 (January 2013) . - pp 48 - 63 Titre : Super-resolution image analysis as a means of monitoring bracken (Pteridium aquilinum) distributions Type de document : Article/Communication Auteurs : Jennie Holland, Auteur ; Paul Alpin, Auteur Année de publication : 2013 Article en page(s) : pp 48 - 63 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] analyse comparative [Termes IGN] classification dirigée [Termes IGN] Filicophyta [Termes IGN] image Ikonos [Termes IGN] image Landsat [Termes IGN] image multitemporelle [Termes IGN] plante non ligneuse [Termes IGN] surveillance de la végétation Résumé : (Auteur) The bracken (Pteridium aquilinum) fern is environmentally significant due to its great abundance and swift colonisation, and its perception as a problem plant in degrading agricultural or ecologically sensitive land. Various attempts have been made to map bracken using remote sensing, but these have proved relatively unsuccessful, often apparently constrained by the lack of spatial detail associated with medium spatial resolution satellite sensors such as the Landsat series. In this study, bracken was characterised using a combination of 30 m Landsat sensor imagery and 4 m IKONOS imagery. Different classification techniques were compared, including hard maximum likelihood classification and a super-resolution approach comprising soft classification and sub-pixel contouring. These techniques were applied to a range of image dates, including summer, winter and multitemporal images. Image analysis was supported by extensive field data collection, comprising both a land cover survey and stakeholder interviews. For the hard classified Landsat sensor imagery, the summer image proved least able to characterise bracken, due largely to the spectral similarity between (green) growing bracken and grasses and other vegetation. The winter images were more successful for identifying bracken due to the strong contrast between dead (brown/red) bracken and other vegetation. However, the multitemporal Landsat image was considerably more accurate than any of the single date images. The hard classified IKONOS image was more accurate overall than the Landsat sensor images for classifying land cover. Surprisingly, though, it was not comprehensively more accurate for mapping the bracken class. Notably, the producers accuracy of bracken was lower for the IKONOS image than the Landsat sensor images. This suggests image spatial resolution, although influential on the success of bracken characterisation, is not necessarily the sole or main determinant of classification accuracy. Also important are the temporal nature of image acquisition (here the multitemporal Landsat sensor image proved of considerable benefit) and the spectral characteristics of the imagery (here IKONOS’s four visible and near infrared spectral wavebands proved limited compared to the Landsat sensors’ six visible, near and shortwave infrared bands). Following soft classification of the multitemporal Landsat image, super-resolution sub-pixel contouring was applied to identify the boundary of bracken patches. Predicted bracken boundaries were assessed against actual boundaries identified using field observation and IKONOS image interpretation. For comparison, the bracken boundaries identified through hard classification (i.e. using pixel edges) were also assessed against the actual boundaries. Overall, the spatial accuracy of the super-resolution approach proved considerably higher than that of hard classification. Numéro de notice : A2013-032 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2012.10.002 En ligne : https://doi.org/10.1016/j.isprsjprs.2012.10.002 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32170 [article]

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The spatial prediction of tree species diversity in savanna woodlands of Southern Africa / G. Mutowo in Geocarto international, vol 27 n° 8 (December 2012)  

Public [article]  inGeocarto international > vol 27 n° 8 (December 2012) . - pp 627 - 645 Titre : The spatial prediction of tree species diversity in savanna woodlands of Southern Africa Type de document : Article/Communication Auteurs : G. Mutowo, Auteur ; Amon Murwira, Auteur Année de publication : 2012 Article en page(s) : pp 627 - 645 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] arbre (flore) [Termes IGN] biodiversité [Termes IGN] image Ikonos [Termes IGN] image Terra-ASTER [Termes IGN] indice de végétation [Termes IGN] prédiction [Termes IGN] radiance [Termes IGN] rayonnement proche infrarouge [Termes IGN] régression linéaire [Termes IGN] savane [Termes IGN] Zimbabwe Résumé : (Auteur) In this study, we tested the utility of remotely sensed data in predicting tree species diversity in savanna woodlands. Specifically, we developed linear regression functions based on a combination of the coefficient of variation of near infrared (NIR) radiance and the soil-adjusted vegetation index (SAVI), both derived from advanced space-borne thermal emission and reflection radiometer satellite imagery. Using the regression functions in a Geographic Information System (GIS), we predicted the spatial variations in tree species diversity. Our results showed that tree species diversity can be predicted using a combination of the coefficient of variation of NIR radiance and SAVI. We conclude that remotely sensed data can be used to spatially predict tree species diversity in savanna woodlands. Numéro de notice : A2012-550 Affiliation des auteurs : non IGN Thématique : BIODIVERSITE/FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2012.662530 Date de publication en ligne : 29/02/2012 En ligne : https://doi.org/10.1080/10106049.2012.662530 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31996 [article]

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Extraction du trait instantané de côte à partir d'images optiques satellites haute-résolution et radar / Valerio Baiocchi in Géomatique expert, n° 89 (01/11/2012)

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Assessment of a photogrammetric approach for urban DSM extraction from tri-stereoscopic satellite imagery / F. Tack in Photogrammetric record, vol 27 n° 139 (September - November 2012)  

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Automatic detection and segmentation of orchards using very high resolution imagery / Selim Aksoy in IEEE Transactions on geoscience and remote sensing, vol 50 n° 8 (August 2012)  

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Building-damage detection using pre- and post-seismic high-resolution satellite stereo imagery: A case study of the May 2008 Wenchuan earthquake / X. Tong in ISPRS Journal of photogrammetry and remote sensing, vol 68 (March 2012)  

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Automatic georeferencing of aerial images using stereo high-resolution satellite images / J. Oh in Photogrammetric Engineering & Remote Sensing, PERS, vol 77 n° 11 (November 2011)  

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La 3ème journée de l'imagerie géospatiale / Anonyme in Géomatique expert, n° 79 (01/03/2011)

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Construction of digital 3D highway model using stereo IKONOS satellite imagery / Ahmed Shaker in Geocarto international, vol 26 n° 1 (February 2011)  

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Impervious surface area extraction from IKONOS imagery using an object-based fuzzy method / X. Hu in Geocarto international, vol 26 n° 1 (February 2011)  

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Orthorectification of VHR optical satellite data exploiting the geometric accuracy of TerraSAR-X data / Peter Reinartz in ISPRS Journal of photogrammetry and remote sensing, vol 66 n° 1 (January - February 2011)  

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Epipolar arrangement of satellite imagery by projection trajectory simplification / M. Wang in Photogrammetric record, vol 25 n° 132 (December 2010 - February 2011)  

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