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Titre : Introduction to Time Series and Forecasting Type de document : Monographie Auteurs : Peter J. Brockwell, Auteur ; Richard A. Davis, Auteur Editeur : Springer International Publishing Année de publication : 2016 Importance : 425 p. Format : 21 x 28 cm ISBN/ISSN/EAN : 978-3-319-29854-2 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Statistiques
[Termes IGN] analyse spectrale
[Termes IGN] calcul matriciel
[Termes IGN] matrice de covariance
[Termes IGN] méthode du maximum de vraisemblance (estimation)
[Termes IGN] modèle de simulation
[Termes IGN] modèle stochastique
[Termes IGN] série temporelle
[Termes IGN] variable aléatoireRésumé : (éditeur) This book is aimed at the reader who wishes to gain a working knowledge of time series and forecasting methods as applied to economics, engineering and the natural and social sciences. It assumes knowledge only of basic calculus, matrix algebra and elementary statistics. This third edition contains detailed instructions for the use of the professional version of the Windows-based computer package ITSM2000, now available as a free download from the Springer Extras website. The logic and tools of time series model-building are developed in detail. Numerous exercises are included and the software can be used to analyze and forecast data sets of the user's own choosing. The book can also be used in conjunction with other time series packages such as those included in R. The programs in ITSM2000 however are menu-driven and can be used with minimal investment of time in the computational details. The core of the book covers stationary processes, ARMA and ARIMA processes, multivariate time series and state-space models, with an optional chapter on spectral analysis. Many additional special topics are also covered. Note de contenu : 1- Introduction
2- Stationary Processes
3- ARMA Models
4- Spectral Analysis
5- Modeling and Forecasting with ARMA Processes
6- Nonstationary and Seasonal Time Series Models
7- Time Series Models for Financial Data
8- Multivariate Time Series
9- State-Space Models
10- Forecasting Techniques
11- Further TopicsNuméro de notice : 25750 Affiliation des auteurs : non IGN Thématique : MATHEMATIQUE Nature : Monographie En ligne : https://link.springer.com/book/10.1007%2F978-3-319-29854-2 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94942 Measuring spatial developments in the Czech Republic / Vladimíra Šilhánková in GIM international, vol 30 n° 1 (January 2016)
[article]
Titre : Measuring spatial developments in the Czech Republic Type de document : Article/Communication Auteurs : Vladimíra Šilhánková, Auteur ; Jan Langr, Auteur ; Michael Pondělíček, Auteur Année de publication : 2016 Article en page(s) : pp 25 - 27 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] développement économique
[Termes IGN] image satellite
[Termes IGN] prise de vue nocturne
[Termes IGN] République Tchèque
[Termes IGN] surveillanceRésumé : (éditeur) A country's local spatial development can be derived from socio-economic indicators assigned to administrative units. Proper management and monitoring often require statistics at a more detailed level. However, it is difficult if not impossible to sub-aggregate the statistics to smaller areas than administrative units. A reliable alternative is to measure the intensity and extent of night-time illumination and the changes over time. The authors have developed two indicators derived from satellite night-time images for monitoring local spatial developments in the Czech Republic. Numéro de notice : A2016-014 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=79346
in GIM international > vol 30 n° 1 (January 2016) . - pp 25 - 27[article]
Titre : Optimal GPS/GALILEO GBAS methodologies with an application to troposphere Type de document : Thèse/HDR Auteurs : Alize Guilbert, Directeur de thèse ; Christophe Macabiau, Directeur de thèse Editeur : Toulouse : Université de Toulouse Année de publication : 2016 Importance : 301 p. Format : 21 x 30 cm Note générale : bibliographie
Thèse en vue de l'obtention du Doctorat de l'Université de Toulouse, spécialité :
Signal, Image, Acoustique et OptimisationLangues : Anglais (eng) Descripteur : [Vedettes matières IGN] Navigation et positionnement
[Termes IGN] aviation civile
[Termes IGN] constellation Galileo
[Termes IGN] constellation GLONASS
[Termes IGN] constellation GPS
[Termes IGN] correction troposphérique
[Termes IGN] données GPS
[Termes IGN] erreur de positionnement
[Termes IGN] gradient de troposphère
[Termes IGN] modèle météorologique
[Termes IGN] positionnement par GNSS
[Termes IGN] retard troposphérique
[Termes IGN] système d'extension au solIndex. décimale : THESE Thèses et HDR Résumé : (auteur) In the Civil Aviation domain, research activities aim to improve airspace capacity and efficiency whilst meeting stringent safety targets. These goals are met by improving performance of existing services whilst also expanding the services provided through the development of new Navigation Aids. One such developmental axe is the provision of safer, more reliable approach and landing operations in all weather conditions. The Global Navigation Satellite System (GNSS) has been identified as a key technology in providing navigation services to civil aviation users [1] [2] thanks to its global coverage and accuracy. The GNSS concept includes the provision of an integrity monitoring function by an augmentation system to the core constellations. This is needed to meet the required performances which cannot be met by the stand-alone constellations. One of the three augmentation systems developed within civil aviation is the GBAS (Ground Based Augmentation System) and is currently standardized by the ICAO to provide precision approach navigation services down to Cat I using the GPS or GLONASS constellations [3]. Studies on-going with the objective to extend the GBAS concept to support Cat II/III precision approach operations with GPS L1 C/A, however some difficulties have arisen regarding ionospheric monitoring. With the deployment of Galileo and Beidou alongside the modernization of GPS and GLONASS, it is envisaged that the GNSS future will be multi-constellation (MC) and multi-frequency (MF). European research activities have focused on the use of GPS and Galileo. The MC/MF GBAS concept should lead to many improvements such as a better modelling of atmospheric effects but several challenges must be resolved before the potential benefits may be realized. Indeed, this PhD has addressed two key topics relating to GBAS, the provision of corrections data within the MC/MF GBAS concept and the impact of tropospheric biases on both the SC/SF and MC/MF GBAS concepts. Due to the tight constraints on GBAS ground to air communications link, the VDB unit, a novel approach is needed. One of the proposals discussed in the PhD project for an updated GBAS VDB message structure is to separate message types for corrections with different transmission rates. Then, this PhD argues that atmospheric modelling with regards to the troposphere has been neglected in light of the ionospheric monitoring difficulties and must be revisited for both nominal and anomalous scenarios. The thesis focuses on how to compute the worst case differential tropospheric delay offline in order to characterize the threat model before extending previous work on bounding this threat in order to protect the airborne GBAS user. In the scope of MC/MF GBAS development, an alternative approach was needed. Therefore, in this PhD project, Numerical Weather Models (NWMs) are used to assess fully the worst case horizontal component of the troposphere. An innovative worst case horizontal tropospheric gradient search methodology is used to determine the induced ranging biases impacting aircraft performing Cat II/III precision approaches with GBAS. This provides as an output a worst case bias as a function of elevation for two European regions.The vertical component is also modelled by statistical analysis by comparing the truth data to the GBAS standardized model for vertical tropospheric correction up to the height of the aircraft. A model of the total uncorrected differential bias is generated which must be incorporated within the nominal GBAS protection levels. In order to bound the impact of the troposphere on the positioning error and by maintaining the goal of low data transmission, different solutions have been developed which remain conservative by assuming that ranging biases conspire in the worst possible way. Through these techniques, it has been shown that a minimum of 3 parameters may be used to characterize a region’s model. Note de contenu : 1- Introduction
2- Navigation performance requirements for civil aviation
3- GNSS processing
4- Optimal processing models/options for MC/MF GBAS
5- Anomalous troposphere modelling for GBAS
6- Anomalous troposphere bounding
7- Conclusions and future workNuméro de notice : 25826 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Thèse française Note de thèse : Thèse de Doctorat : Spécialité : Signal, Image, Acoustique et Optimisation : Toulouse : 2016 Organisme de stage : Laboratoire de Télécommunications (TELECOM-ENAC) nature-HAL : Thèse DOI : sans En ligne : http://www.theses.fr/2016INPT0049 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95116
Titre : Les ortho express Type de document : Mémoire Auteurs : Guillaume Vasseur, Auteur Editeur : Paris : Université de Paris 1 Panthéon Sorbonne Année de publication : 2016 Importance : 81 p. Format : 21 x 30 cm Note générale : Bibliographie
Mémoire de Licence professionnelle Géomatique et environnementLangues : Français (fre) Descripteur : [Vedettes matières IGN] Orthophotographie, orthoimage
[Termes IGN] Aveyron (12)
[Termes IGN] BD ortho
[Termes IGN] correction géométrique
[Termes IGN] correction radiométrique
[Termes IGN] Nord (59)
[Termes IGN] orthoimage
[Termes IGN] prise de vue aérienne
[Termes IGN] qualité d'image
[Termes IGN] qualité radiométrique (image)Index. décimale : LPGE Mémoires de Licence professionnelle géomatique et environnement Résumé : (Auteur) Le service des activités aériennes produit des ortho-images pour la mise à jour de la BD Ortho de l'IGN. Il s'écoule en moyenne 10 mois entre les prises de vues aériennes et la disponibilité des orthophotographies. L'IGN propose une ortho express, un produit intermédiaire disponible quelques semaines après l'acquisition, mais qui est imparfait et présente des ruptures géométriques et colorimétriques. Ces défauts peuvent avoir un impact sur la satisfaction des besoins des utilisateurs. Quels sont ces défauts ? Dans quelles proportions les retrouve-t-on ? Est-il nécessaire de tous les supprimer en fonction des usages exprimés par les commanditaires ? Ce rapport de stage tente de répondre à ces questions et comprend une typologie des défauts, une analyse du type et de la densité des imperfections en fonction de la zone à traiter. Des charges et des délais ont été calculés en fonction du type de corrections à apporter pour assurer la satisfaction des besoins des utilisateurs. Note de contenu : Introduction
1. Typologie des défauts sur l’ortho express
1.1. Les défauts radiométriques
1.2. Les défauts géométriques
2. Détection et correction des défauts
2.1. Défauts radiométriques
2.2. Défauts géométriques
2.3. Propositions
3. Contrôle et corrections sur six zones tests
3.1. Le milieu rural
3.2. Le milieu montagneux
3.3. Le milieu dense
3.4. Le milieu mixte
3.5. Le milieu avec d’importants interdates
3.6. Le littoral
4. Etude marketing et scénario de retouches
4.1. L'Aveyron
4.2. Le département du nord
ConclusionNuméro de notice : 22574 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/IMAGERIE Nature : Mémoire licence Organisme de stage : Service des Activités Aériennes SAA (IGN) Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=82367 Documents numériques
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22574_Les ortho express.pdfAdobe Acrobat PDFPassive microwave remote sensing of soil moisture based on dynamic vegetation scattering properties for AMSR-E / Jinyang Du in IEEE Transactions on geoscience and remote sensing, vol 54 n° 1 (January 2016)
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[article]
Titre : Passive microwave remote sensing of soil moisture based on dynamic vegetation scattering properties for AMSR-E Type de document : Article/Communication Auteurs : Jinyang Du, Auteur ; John S. Kimball, Auteur ; Lucas A. Jones, Auteur Année de publication : 2016 Article en page(s) : pp 597 - 608 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] capteur passif
[Termes IGN] estimation statistique
[Termes IGN] humidité du sol
[Termes IGN] image Aqua-AMSR
[Termes IGN] réflectance végétale
[Termes IGN] rétrodiffusion
[Termes IGN] télédétection en hyperfréquence
[Termes IGN] variation saisonnière
[Termes IGN] végétationRésumé : (Auteur) Accurate mapping of long-term global soil moisture is of great importance to earth science studies and a variety of applications. An approach for deriving volumetric soil moisture using satellite passive microwave radiometry from the Advanced Microwave Scanning Radiometer for the Earth Observing System (AMSR-E) was developed in this study. Unlike the major AMSR-E retrieval algorithms that assume fixed scattering albedo values over the globe, the proposed algorithm adopts a weighted averaging strategy for soil moisture estimation based on a dynamic selection of albedo values that are empirically determined. The resulting soil moisture retrievals demonstrate more realistic global patterns and seasonal dynamics relative to the baseline University of Montana soil moisture product. Quantitative analysis of the new approach against in situ soil moisture measurements over four study regions also indicates improvements over the baseline algorithm, with coefficients of determination (R2) between the retrievals and in situ measurements increasing by approximately 16.9% and 41.5% and bias-corrected root-mean-square errors decreasing by about 25.0% and 38.2% for ascending and descending orbital data records, respectively. The resulting algorithm is readily applied to similar microwave sensors, including the Advanced Microwave Scanning Radiometer 2, and its retrieval strategy is also applicable to other passive microwave sensors, including lower frequency (L-band) observations from the National Aeronautics and Space Administration Soil Moisture Active Passive mission. Numéro de notice : A2016-070 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2015.2462758 En ligne : https://doi.org/10.1109/TGRS.2015.2462758 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=79832
in IEEE Transactions on geoscience and remote sensing > vol 54 n° 1 (January 2016) . - pp 597 - 608[article]Exemplaires(1)
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