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Traitement du signal marégraphique par analyse harmonique pour la détermination d'une référence altimétrique pour l'Algérie / A. Rami in Bulletin des sciences géographiques, n° 30 (2015 - 2016)
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Titre : Traitement du signal marégraphique par analyse harmonique pour la détermination d'une référence altimétrique pour l'Algérie Type de document : Article/Communication Auteurs : A. Rami, Auteur ; M. Nechimi, Auteur ; M. Haddad, Auteur ; et al., Auteur Année de publication : 2016 Article en page(s) : pp 2 - 10 Note générale : biblographie Langues : Français (fre) Descripteur : [Termes IGN] Algérie
[Termes IGN] analyse harmonique
[Termes IGN] analyse spectrale
[Termes IGN] données marégraphiques
[Termes IGN] niveau moyen des mers
[Termes IGN] série temporelle
[Termes IGN] système de référence altimétrique
[Termes IGN] variation temporelle
[Vedettes matières IGN] AltimétrieRésumé : (auteur) Afin de déterminer une référence altimétrique nationale pour l'Algérie, l'Institut National de Cartographie et de Télédétection (INCT) a procédé à l'installation de trois marégraphes numériques à acquisition automatique (Log_aLevel) aux ports d'Alger, de Jijel et d'Oran. L'analyse harmonique des données marégraphiques issues de ces trois stations, nous a permis la détermination des composantes harmoniques de la marée et du niveau moyen de la mer au niveau de chaque port. Le niveau moyen de la mer calculé, par traitement d'une année de séries temporelles de la marée pour chaque station, est de 40.6 cm au port d'Alger, 39.8 cm au port de Jijel et 58 cm au port d'Oran. L'analyse spectrale a permis de localiser les amplitudes significatives relatives aux variations temporelles de la marée et donc de détecter le type de marée à chaque station. Numéro de notice : A2016-462 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81465
in Bulletin des sciences géographiques > n° 30 (2015 - 2016) . - pp 2 - 10[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 253-2016011 SL Revue Centre de documentation Revues en salle Disponible Vegetation classification and biogeography of European floodplain forests and alder carrs / Jan Douda in Applied Vegetation Science, vol 19 n° 1 (January 2016)
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Titre : Vegetation classification and biogeography of European floodplain forests and alder carrs Type de document : Article/Communication Auteurs : Jan Douda, Auteur ; Karel Boublík, Auteur ; Michal Slezák, Auteur ; et al., Auteur Année de publication : 2016 Article en page(s) : pp 147 - 163 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] Alnus (genre)
[Termes IGN] Alnus glutinosa
[Termes IGN] Alnus incana
[Termes IGN] analyse de groupement
[Termes IGN] biogéographie
[Termes IGN] classification barycentrique
[Termes IGN] classification dirigée
[Termes IGN] Europe (géographie physique)
[Termes IGN] forêt marécageuse
[Termes IGN] forêt ripicole
[Termes IGN] Fraxinus angustifolia
[Termes IGN] Fraxinus excelsior
[Termes IGN] Platanus orientalis
[Termes IGN] Populus alba
[Termes IGN] Populus nigra
[Vedettes matières IGN] Ecologie forestièreRésumé : (auteur) Aim : Formalized classifications synthesizing vegetation data at the continental scale are being attempted only now, although they are of key importance for nature conservation planning. Therefore, we aim to provide a vegetation classification and to describe the main biogeographical patterns of floodplain forests and alder carrs in Europe.
Location : Europe.
Methods : A database of more than 40 000 vegetation plots of floodplain forests and alder carrs across Europe was compiled. After geographic stratification, 16 392 plots were available for classification, which was performed using the supervised method Cocktail. We also searched for new associations using semi-supervised K-means classification. The main biogeographic patterns and climate-related gradients in species composition were determined using detrended correspondence analysis and cluster analysis.
Results : Thirty associations of floodplain forests and alder carrs were distinguished, which belong to five alliances. The Alnion incanae includes riparian, seepage and hardwood floodplain forests in the nemoral and hemiboreal zones (dominated by Alnus glutinosa and Fraxinus excelsior) and in the boreal zone (dominated by A. incana). The Osmundo-Alnion represents oceanic vegetation dominated by Alnus glutinosa, Fraxinus angustifolia and F. excelsior distributed mostly on the Iberian Peninsula and composed of species with Atlantic distribution and Iberian endemics. The Populion albae comprises floodplain forests frequently dominated by Fraxinus angustifolia, Populus alba and P. nigra that are widespread in floodplains of large rivers under summer-dry climates in the Mediterranean region. The Platanion orientalis represents eastern Mediterranean floodplain forests dominated by Platanus orientalis. The Alnion glutinosae includes forest swamps dominated by Alnus glutinosa distributed mostly in the nemoral and hemiboreal zones. The main biogeographic patterns within European floodplain forests and alder carrs reflect the climatic contrasts between the Mediterranean, nemoral, boreal and mountain regions. Oceanic floodplain forests differ from those in the rest of Europe. The hydrological regime appears to be the most important factor influencing species composition within regions.
Conclusions : This study is the first applying a formalized classification at the association level for a broad vegetation type at the continental scale. The proposed classification provides the scientific basis for the necessary improvement of the habitat classification systems used in European nature conservation.Numéro de notice : A2016-363 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article DOI : 10.1111/avsc.12201 En ligne : http://dx.doi.org/10.1111/avsc.12201 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81102
in Applied Vegetation Science > vol 19 n° 1 (January 2016) . - pp 147 - 163[article]3D leaf water content mapping using terrestrial laser scanner backscatter intensity with radiometric correction / Xi Zhu in ISPRS Journal of photogrammetry and remote sensing, vol 110 (December 2015)
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Titre : 3D leaf water content mapping using terrestrial laser scanner backscatter intensity with radiometric correction Type de document : Article/Communication Auteurs : Xi Zhu, Auteur ; Tiejun Wang, Auteur ; Roshanak Darvishzadeh, Auteur ; et al., Auteur Année de publication : 2015 Article en page(s) : pp 14 – 23 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] correction radiométrique
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] intensité lumineuse
[Termes IGN] réflecteur
[Termes IGN] télémétrie laser terrestre
[Termes IGN] teneur en eau de la végétationRésumé : (auteur) Leaf water content (LWC) plays an important role in agriculture and forestry management. It can be used to assess drought conditions and wildfire susceptibility. Terrestrial laser scanner (TLS) data have been widely used in forested environments for retrieving geometrically-based biophysical parameters. Recent studies have also shown the potential of using radiometric information (backscatter intensity) for estimating LWC. However, the usefulness of backscatter intensity data has been limited by leaf surface characteristics, and incidence angle effects. To explore the idea of using LiDAR intensity data to assess LWC we normalized (for both angular effects and leaf surface properties) shortwave infrared TLS data (1550 nm). A reflectance model describing both diffuse and specular reflectance was applied to remove strong specular backscatter intensity at a perpendicular angle. Leaves with different surface properties were collected from eight broadleaf plant species for modeling the relationship between LWC and backscatter intensity. Reference reflectors (Spectralon from Labsphere, Inc.) were used to build a look-up table to compensate for incidence angle effects. Results showed that before removing the specular influences, there was no significant correlation (R2 = 0.01, P > 0.05) between the backscatter intensity at a perpendicular angle and LWC. After the removal of the specular influences, a significant correlation emerged (R2 = 0.74, P Numéro de notice : A2015-890 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2015.10.001 En ligne : http://dx.doi.org/10.1016/j.isprsjprs.2015.10.001 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=79440
in ISPRS Journal of photogrammetry and remote sensing > vol 110 (December 2015) . - pp 14 – 23[article]Automated detection of Martian gullies from HiRISE imagery / Wei Li in Photogrammetric Engineering & Remote Sensing, PERS, vol 81 n° 12 (December 2015)
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Titre : Automated detection of Martian gullies from HiRISE imagery Type de document : Article/Communication Auteurs : Wei Li, Auteur ; Kaichang Di, Auteur ; Zongyu Yue, Auteur ; et al., Auteur Année de publication : 2015 Article en page(s) : pp 913 - 920 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] détection de cible
[Termes IGN] image HiRISE
[Termes IGN] Mars (planète)
[Termes IGN] morphologieRésumé : (auteur) Gully is a type of young geological feature on the Martian surface, and the study of gullies can significantly contribute to understanding of the geologic history of Martian surface. As a large amount of high-resolution orbital images have been acquired, manual identification and extraction of all gullies is tedious and prohibitively time consuming. Therefore, it is desirable to develop automated methods for detection of Martian gullies to support scientific studies of the gullies. This paper presents an automated gully detection method based on mathematical morphology techniques. The method integrates a series of morphological operators, including area opening and closing, Bottom-Hat transformation, and path opening. Experimental results using HiRISE images at six sites demonstrate promising performance with detection percentage from 76 percent to 94 percent Numéro de notice : A2015-991 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.81.12.913 En ligne : https://doi.org/10.14358/PERS.81.12.913 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80272
in Photogrammetric Engineering & Remote Sensing, PERS > vol 81 n° 12 (December 2015) . - pp 913 - 920[article]A back-propagation neural network-based approach for multi-represented feature matching in update propagation / Yanxia Wang in Transactions in GIS, vol 19 n° 6 (December 2015)
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Titre : A back-propagation neural network-based approach for multi-represented feature matching in update propagation Type de document : Article/Communication Auteurs : Yanxia Wang, Auteur ; Deng Chen, Auteur ; Zhiyuan Zhao, Auteur ; et al., Auteur Année de publication : 2015 Article en page(s) : pp 964 – 993 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées
[Termes IGN] appariement de données localisées
[Termes IGN] apprentissage automatique
[Termes IGN] Chine
[Termes IGN] mise à jour de base de données
[Termes IGN] objet géographique zonal
[Termes IGN] pondération
[Termes IGN] représentation multiple
[Termes IGN] réseau neuronal artificielRésumé : (auteur) Spatial data infrastructures, which are characterized by multi-represented datasets, are prevalent throughout the world. The multi-represented datasets contain different representations for identical real-world entities. Therefore, update propagation is useful and required for maintaining multi-represented datasets. The key to update propagation is the detection of identical features in different datasets that represent corresponding real-world entities and the detection of changes in updated datasets. Using polygon features of settlements as examples, this article addresses these key problems and proposes an approach for multi-represented feature matching based on spatial similarity and a back-propagation neural network (BPNN). Although this approach only utilizes the measures of distance, area, direction and length, it dynamically and objectively determines the weight of each measure through intelligent learning; in contrast, traditional approaches determine weight using expertise. Therefore, the weight may be variable in different data contexts but not for different levels of expertise. This approach can be applied not only to one-to-one matching but also to one-to-many and many-to-many matching. Experiments are designed using two different approaches and four datasets that encompass an area in China. The goals are to demonstrate the weight differences in different data contexts and to measure the performance of the BPNN-based feature matching approach. Numéro de notice : A2015--077 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/tgis.12138 En ligne : http://dx.doi.org/10.1111/tgis.12138 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81352
in Transactions in GIS > vol 19 n° 6 (December 2015) . - pp 964 – 993[article]Classification of hyperspectral images by exploiting spectral–spatial information of superpixel via multiple kernels / Leyuan Fang in IEEE Transactions on geoscience and remote sensing, vol 53 n° 12 (December 2015)
PermalinkCorrecting distortion of polarimetric SAR data induced by ionospheric scintillation / Jun Su Kim in IEEE Transactions on geoscience and remote sensing, vol 53 n° 12 (December 2015)
PermalinkDevelopment and operational analysis of an all-fiber coherent doppler Lidar system for wind sensing and aerosol profiling / Sameh Abdelazim in IEEE Transactions on geoscience and remote sensing, vol 53 n° 12 (December 2015)
PermalinkError analysis of a new planar electrostatic gravity gradiometer for airborne surveys / Karim Douch in Journal of geodesy, vol 89 n° 12 (december 2015)
PermalinkGeometric accuracy analysis model of the ZiYuan-3 satellite without GCPs / Xinming Tang in Photogrammetric Engineering & Remote Sensing, PERS, vol 81 n° 12 (December 2015)
PermalinkJournées de la topo 2015 : le Mystère BIM dévoilé / Antoine Cremmel in XYZ, n° 145 (décembre 2015 - février 2016)
PermalinkPermalinkMulti-GNSS meteorology : real-time retrieving of atmospheric water vapor from BeiDou, Galileo, GLONASS, and GPS observations / Xingxing Li in IEEE Transactions on geoscience and remote sensing, vol 53 n° 12 (December 2015)
PermalinkOutputs from the general development project in 2011-2014 towards the realization of multi-GNSS surveying in Japan / Hiromichi Tsuji in Bulletin of the GeoSpatial Information authority of Japan, vol 63 (December 2015)
PermalinkReal-time atmospheric correction of AVIRIS-NG imagery / Brian D. Bue in IEEE Transactions on geoscience and remote sensing, vol 53 n° 12 (December 2015)
PermalinkLe relevé 3D du patrimoine culturel : la Ca' Vendramin dei Leoni, musée Guggenheim de Venise / Caterina Balletti in XYZ, n° 145 (décembre 2015 - février 2016)
PermalinkA review of forest and tree plantation biomass equations in Indonesia / Kamalakumari Anitha in Annals of Forest Science, vol 72 n° 8 (December 2015)
PermalinkSegmenting tree crowns from terrestrial and mobile LiDAR data by exploring ecological theories / Shengli Tao in ISPRS Journal of photogrammetry and remote sensing, vol 110 (December 2015)
PermalinkSemi-supervised SVM for individual tree crown species classification / Michele Dalponte in ISPRS Journal of photogrammetry and remote sensing, vol 110 (December 2015)
PermalinkTwo-stage change detection for synthetic aperture radar / Miriam Cha in IEEE Transactions on geoscience and remote sensing, vol 53 n° 12 (December 2015)
PermalinkUrban classification by the fusion of thermal infrared hyperspectral and visible data / Jiayi Li in Photogrammetric Engineering & Remote Sensing, PERS, vol 81 n° 12 (December 2015)
PermalinkXylem and soil CO2 fluxes in a Quercus pyrenaica Willd. coppice: root respiration increases with clonal size / Roberto Salomón in Annals of Forest Science, vol 72 n° 8 (December 2015)
PermalinkAccurate attribute mapping from volunteered geographic information: issues of volunteer quantity and quality / Giles M. Foody in Cartographic journal (the), Vol 52 n° 4 (November 2015)
PermalinkChoice experiment assessment of public preferences for forest structural attributes / Marek Giergiczny in Ecological economics, vol 119 (November 2015)
PermalinkCode shift keying : prospects for improving GNSS signal design / Axel Garcia-Pena in Inside GNSS, vol 10 n° 6 (November - December 2015)
PermalinkEnhancing integrated indoor/outdoor mobility in a smart campus / Joaquín Torres-Sospedra in International journal of geographical information science IJGIS, vol 29 n° 11 (November 2015)
PermalinkEstablishment of new Oman National Geodetic Datum ONGD14 / Y. Al-Toobi in Survey review, vol 47 n° 345 (November 2015)
PermalinkEveryday space–time geographies: using mobile phone-based sensor data to monitor urban activity in Harbin, Paris, and Tallinn / R. Ahas in International journal of geographical information science IJGIS, vol 29 n° 11 (November 2015)
PermalinkForest cover maps of China in 2010 from multiple approaches and data sources: PALSAR, Landsat, MODIS, FRA, and NFI / Yuanwei Qin in ISPRS Journal of photogrammetry and remote sensing, vol 109 (November 2015)
PermalinkGeometric integration of high-resolution satellite imagery and airborne LiDAR data for improved geopositioning accuracy in metropolitan areas / Bo Wu in ISPRS Journal of photogrammetry and remote sensing, vol 109 (November 2015)
PermalinkMapping slope movements in Alpine environments using TerraSAR-X interferometric methods / Chloé Barboux in ISPRS Journal of photogrammetry and remote sensing, vol 109 (November 2015)
PermalinkA moving weighted harmonic analysis method for reconstructing high-quality SPOT VEGETATION NDVI time-series data / Gang Yang in IEEE Transactions on geoscience and remote sensing, vol 53 n° 11 (November 2015)
PermalinkMultitemporal fluctuations in L-Band Backscatter from a japanese forest / Manabu Watanabe in IEEE Transactions on geoscience and remote sensing, vol 53 n° 11 (November 2015)
PermalinkA robust mosaicking procedure for high spatial resolution remote sensing images / Xinghua Li in ISPRS Journal of photogrammetry and remote sensing, vol 109 (November 2015)
PermalinkSemantic volume texture for virtual city building model visualisation / Lin Li in Computers, Environment and Urban Systems, vol 54 (November 2015)
PermalinkUsing integrated visualization techniques to investigate associations between cardiovascular health outcomes and residential migration in Auckland, New Zealand / Jinfeng Zhao in Cartography and Geographic Information Science, Vol 42 n° 5 (November 2015)
PermalinkWide-area mapping of small-scale features in agricultural landscapes using airborne remote sensing / Jerome O’Connell in ISPRS Journal of photogrammetry and remote sensing, vol 109 (November 2015)
PermalinkAccelerated deforestation driven by large-scale land acquisitions in Cambodia / Kyle Frankel Davis in Nature geoscience, vol 8 n° 10 (October 2015)
PermalinkConstruction of 3D volumetric objects for a 3D cadastral system / Shen Ying in Transactions in GIS, vol 19 n° 5 (October 2015)
PermalinkEarth observation as a tool for tracking progress towards the Aichi Biodiversity Targets / Brian O’Connor in Remote sensing in ecology and conservation, vol 1 n° 1 (October 2015)
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PermalinkEfficiently computing the drainage network on massive terrains using external memory flooding process / Thiago L. Gomes in Geoinformatica, vol 19 n° 4 (October - December 2015)
PermalinkEstimating the yaw-attitude of an BDS IGSO and MEO satellites / Xiaolei Dai in Journal of geodesy, vol 89 n° 10 (october 2015)
PermalinkExceedance of critical loads and of critical limits impacts tree nutrition across Europe / Peter Waldner in Annals of Forest Science, vol 72 n° 7 (October 2015)
PermalinkA geometric method for wood-leaf separation using terrestrial and simulated Lidar data / Shengli Tao in Photogrammetric Engineering & Remote Sensing, PERS, vol 81 n° 10 (October 2015)
Permalinkvol 51 - 2015 - International Conference On Computational Science, ICCS 2015 Computational Science at the Gates of Nature (Bulletin de Procedia Computer Science) / Slawomir Koziel
PermalinkLand cover changes assessment using object-based image analysis in the Binah River watershed (Togo and Benin) / Hèou Maléki Badjana in Earth and space science, vol 2 n° 10 (October 2015)
PermalinkLeveraging in-scene spectra for vegetation species discrimination with MESMA-MDA / Brian D. Bue in ISPRS Journal of photogrammetry and remote sensing, vol 108 (October 2015)
PermalinkMAGI : A new high-performance airborne thermal-infrared imaging spectrometer for earth science applications / Jeffrey L. Hall in IEEE Transactions on geoscience and remote sensing, vol 53 n° 10 (October 2015)
PermalinkModélisation d’accompagnement en gestion conservatoire : Expérimentation au sein du réseau français Natura 2000 / Hélène Dupont in Revue internationale de géomatique, vol 25 n° 4 (octobre - décembre 2015)
PermalinkModélisation, simulation et analyse de propriétés de réseaux orbitèles / Didier Josselin in Revue internationale de géomatique, vol 25 n° 4 (octobre - décembre 2015)
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