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Integrating SAR and derived products into operational volcano monitoring and decision support systems / Franz J. Meyer in ISPRS Journal of photogrammetry and remote sensing, vol 100 (February 2015)
[article]
Titre : Integrating SAR and derived products into operational volcano monitoring and decision support systems Type de document : Article/Communication Auteurs : Franz J. Meyer, Auteur ; D.B. McAlpin, Auteur ; W. Gong, Auteur ; et al., Auteur Année de publication : 2015 Article en page(s) : pp 106 - 117 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] Alaska (Etats-Unis)
[Termes IGN] détection de changement
[Termes IGN] éruption volcanique
[Termes IGN] gestion des risques
[Termes IGN] image radar moirée
[Termes IGN] intégration de données
[Termes IGN] séisme
[Termes IGN] série temporelle
[Termes IGN] surveillance géologique
[Termes IGN] volcanRésumé : (auteur) Remote sensing plays a critical role in operational volcano monitoring due to the often remote locations of volcanic systems and the large spatial extent of potential eruption pre-cursor signals. Despite the all-weather capabilities of radar remote sensing and its high performance in monitoring of change, the contribution of radar data to operational monitoring activities has been limited in the past. This is largely due to: (1) the high costs associated with radar data; (2) traditionally slow data processing and delivery procedures; and (3) the limited temporal sampling provided by spaceborne radars. With this paper, we present new data processing and data integration techniques that mitigate some of these limitations and allow for a meaningful integration of radar data into operational volcano monitoring decision support systems. Specifically, we present fast data access procedures as well as new approaches to multi-track processing that improve near real-time data access and temporal sampling of volcanic systems with SAR data. We introduce phase-based (coherent) and amplitude-based (incoherent) change detection procedures that are able to extract dense time series of hazard information from these data. For a demonstration, we present an integration of our processing system with an operational volcano monitoring system that was developed for use by the Alaska Volcano Observatory (AVO). Through an application to a historic eruption, we show that the integration of SAR into systems such as AVO can significantly improve the ability of operational systems to detect eruptive precursors. Therefore, the developed technology is expected to improve operational hazard detection, alerting, and management capabilities. Numéro de notice : A2015-057 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2014.05.009 En ligne : https://doi.org/10.1016/j.isprsjprs.2014.05.009 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=75311
in ISPRS Journal of photogrammetry and remote sensing > vol 100 (February 2015) . - pp 106 - 117[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2015021 RAB Revue Centre de documentation En réserve L003 Disponible Joint segmentation of multiple GPS coordinate series / Julien Gazeaux in Journal de la Société Française de Statistique, vol 156 n° 4 ([01/02/2015])
[article]
Titre : Joint segmentation of multiple GPS coordinate series Type de document : Article/Communication Auteurs : Julien Gazeaux , Auteur ; Emilie Lebarbier, Auteur ; Xavier Collilieux , Auteur ; Laurent Métivier , Auteur Année de publication : 2015 Article en page(s) : pp 163 - 179 Note générale : bibliographie Langues : Français (fre) Descripteur : [Vedettes matières IGN] Applications de géodésie spatiale
[Termes IGN] coordonnées GPS
[Termes IGN] déformation de la croute terrestre
[Termes IGN] estimation statistique
[Termes IGN] itération
[Termes IGN] segmentation
[Termes IGN] série temporelleRésumé : (auteur) Pour la première fois, une procédure de segmentation multiple de séries de coordonnées est proposée pour des stations GPS géographiquement proches. Elle permet d'estimer simultanément des vitesses de déplacements et des signaux saisonniers spécifiques à chaque série tout en déterminant un signal de déplacement commun à toutes les stations. Une extension du modèle proposé par Picard et al. (2011) et Bertin et al. (2014) est considérée afin de prendre en compte les différentes caractéristiques liées aux données GPS ainsi que la procédure d'estimation, procédure itérative. Les résultats obtenus sur quatre ensembles de séries réelles GPS sont très pertinents d'autant plus que la méthode permet de ne pas segmenter le signal physique en identifiant des ruptures liées au mouvement réel du sol. Numéro de notice : A2015-803 Affiliation des auteurs : LASTIG LAREG+Ext (2012-mi2018) Thématique : MATHEMATIQUE/POSITIONNEMENT Nature : Article nature-HAL : ArtAvecCL-RevueNat DOI : sans Date de publication en ligne : 11/12/2015 En ligne : http://journal-sfds.fr/issue/view/54 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=78534
in Journal de la Société Française de Statistique > vol 156 n° 4 [01/02/2015] . - pp 163 - 179[article]Documents numériques
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Joint segmentation of multiple GPS coordinate seriesAdobe Acrobat PDF Analysis of spatial variability of near-surface soil moisture to increase rainfall-runoff modelling accuracy in SW Hungary / P. Hegedüs in Open geosciences, vol 7 n° 1 (January 2015)
[article]
Titre : Analysis of spatial variability of near-surface soil moisture to increase rainfall-runoff modelling accuracy in SW Hungary Type de document : Article/Communication Auteurs : P. Hegedüs, Auteur ; S. Czigány, Auteur ; E. Pirkhoffer, Auteur ; et al., Auteur Année de publication : 2015 Article en page(s) : pp 126 - 139 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] données localisées
[Termes IGN] Hongrie
[Termes IGN] humidité du sol
[Termes IGN] interpolation spatiale
[Termes IGN] modèle numérique
[Termes IGN] ruissellement
[Termes IGN] série temporelle
[Termes IGN] valléeRésumé : (auteur) Between September 5, 2008 and September 5, 2009, near-surface soil moisture time series were collected in the northern part of a 1.7 km2 watershed in SWHungary at 14 monitoring locations using a portable TDR-300 soil moisture sensor. The objectives of this study are to increase the accuracy of soil moisture measurement at watershed scale, to improve flood forecasting accuracy, and to optimize soil moisture sensor density.
According to our results, in 10 of 13 cases, a strong correlation exists between the measured soil moisture data of Station 5 and all other monitoring stations; Station 5 is considered representative for the entire watershed. Logically, the selection of the location of the representative measurement point(s) is essential for obtaining representative and accurate soil moisture values for the given watershed. This could be done by (i) employing monitoring stations of higher number at the exploratory phase of the monitoring, (ii) mapping soil physical properties at watershed scale, and (iii) running cross-relational statistical analyses on the obtained data.
Our findings indicate that increasing the number of soil moisture data points available for interpolation increases the accuracy of watershed-scale soil moisture estimation. The data set used for interpolation (and estimation of mean antecedent soil moisture values) could be improved (thus, having a higher number of data points) by selecting points of similar properties to the measurement points from the DEM and soil databases. By using a higher number of data points for interpolation, both interpolation accuracy and spatial resolution have increased for the measured soil moisture values for the Pósa Valley.Numéro de notice : A2015-438 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1515/geo-2015-0017 En ligne : https://doi.org/10.1515/geo-2015-0017 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=77038
in Open geosciences > vol 7 n° 1 (January 2015) . - pp 126 - 139[article]
Titre : GPS time-variable seasonal signals modeling Type de document : Mémoire Auteurs : Qiang Chen, Auteur Editeur : Stuttgart : University of Stuttgart Année de publication : 2015 Importance : 65 p. Format : 21 x 30 cm Note générale : bibliographie
mémoire de master, Université de StuttgartLangues : Anglais (eng) Descripteur : [Termes IGN] analyse comparative
[Termes IGN] analyse de spectre singulier
[Termes IGN] compensation par moindres carrés
[Termes IGN] données GPS
[Termes IGN] filtrage du bruit
[Termes IGN] filtre de Kalman
[Termes IGN] oscillation
[Termes IGN] série temporelle
[Termes IGN] variation saisonnière
[Vedettes matières IGN] Traitement de données GNSSIndex. décimale : MX Mémoires divers Résumé : (auteur) Seasonal signals (annual plus semi-annual) in GPS time series are of great importance for understanding the evolution of regional mass, i.e. ice and hydrology. Conventionally these signals (annual and semi-annual) are derived by least-squares fitting of harmonic terms with a constant amplitude and phase. In reality, however, such seasonal signals are modulated, i.e. they will have a time-variable amplitude and phase. Recently, Davis et al. (2012) proposed a Kalman filter based approach to capture the stochastic seasonal behavior of geodetic time series. In this study, a non-parametric approach, singular spectrum analysis (SSA) is introduced. It uses time domain data to extract information from short and noisy time series without prior knowledge of the dynamics affecting the time series. A prominent benefit is that obtained trends are not necessarily linear and extracted oscillations can be amplitude and phase modulated. In this work, the capability of SSA for analyzing time-variable seasonal signals from GPS time series is investigated. We also compare SSA-based results to two model-based results, i.e. least-squares analysis and Kalman filtering. Our results show that singular spectrum analysis could be a viable and complementary tool for exploring modulated oscillations from GPS time series. Based on the SSA-derived seasonal signals, we look into the effects of the input noise variances in the framework of Kalman filtering. Two Kalman filtering based approaches with different process noise models are compared over 79 GPS sites. We find that the basic Kalman filtering technique with the input noise model suggested by Davis et al. (2012) turns out to be optimal. Numéro de notice : 17348 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Mémoire masters divers En ligne : http://dx.doi.org/10.18419/opus-8824 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83707 Magic square of real spectral and time series analysis with an application to moving average processes / I. Krasbutter (2015)
contenu dans The 1st International workshop on the quality of geodetic observation and monitoring systems (QuGOMS'11) / Hansjörg Kutterer (2015)
Titre : Magic square of real spectral and time series analysis with an application to moving average processes Type de document : Article/Communication Auteurs : I. Krasbutter, Auteur ; Boris Kargoll, Auteur ; W.D. Schuh, Auteur Editeur : Berlin, Heidelberg, Vienne, New York, ... : Springer Année de publication : 2015 Collection : International Association of Geodesy Symposia, ISSN 0939-9585 num. 140 Conférence : QuGOMS 2011, 1st IAG International workshop on the quality of geodetic observation and monitoring systems 13/04/2011 15/04/2011 Munich Allemagne Proceedings Springer Importance : pp 9 - 14 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Statistiques
[Termes IGN] analyse spectrale
[Termes IGN] moyenne mobile
[Termes IGN] processus stochastique
[Termes IGN] série temporelleRésumé : (auteur) This paper is concerned with the spectral analysis of stochastic processes that are realvalued, one-dimensional, discrete-time, covariance-stationary, and which have a representation as a moving average (MA) process. In particular, we will review the meaning and interrelations of four fundamental quantities in the time and frequency domain, (1) the stochastic process itself (which includes filtered stochastic processes), (2) its autocovariance function, (3) the spectral representation of the stochastic process, and (4) the corresponding spectral distribution function, or if it exists, the spectral density function. These quantities will be viewed as forming the corners of a square (the “magic square of spectral and time series analysis”) with various connecting lines, which represent certain mathematical operations between them. To demonstrate the evaluation of these operations, we will discuss the example of a q-th order MA process. Numéro de notice : C2011-031 Affiliation des auteurs : non IGN Thématique : MATHEMATIQUE Nature : Communication DOI : 10.1007/978-3-319-10828-5_2 En ligne : https://doi.org/10.1007/978-3-319-10828-5_2 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84802 PermalinkRetrieving the stand age from a retrospective detection of multinannual forest changes using Landsat data. Application on the heavily managed maritime pine forest in Southwestern France from a 30-year Landsat time-series (1984–2014) / Dominique Guyon (2015)PermalinkSpatio-temporal filtering for determination of common mode error in regional GNSS networks / Janusz Bogusz in Open geosciences, vol 7 n° 1 (January 2015)PermalinkPermalinkPermalinkDetecting discontinuities in GNSS coordinate time series with STARS: case study, the Bologna and Medicina GPS sites / Sara Bruni in Journal of geodesy, vol 88 n° 12 (December 2014)PermalinkGlobal coseismic deformations, GNSS time series analysis, and earthquake scaling laws / Laurent Métivier in Journal of geophysical research : Solid Earth, vol 119 n° 12 (December 2014)PermalinkExtracting tidal frequencies using multivariate harmonic analysis of sea level height time series / Ali Reza Amiri-Simkooei in Journal of geodesy, vol 88 n° 10 (October 2014)PermalinkDescription des états annuels et des évolutions de la couverture végétale observée par des séries temporelles d’images MODIS dans le parc national de Hwange (Zimbabwe) / Elodie Buard in Revue Française de Photogrammétrie et de Télédétection, n° 207 (Juillet 2014)PermalinkLand cover classification of finer resolution remote sensing data integrating temporal features from time series coarser resolution data / Kun Jia in ISPRS Journal of photogrammetry and remote sensing, vol 93 (July 2014)Permalink