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Estimating the noise in space-geodetic positioning: the case of DORIS / Karine Le Bail in Journal of geodesy, vol 80 n° 8-11 (November 2006)
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Titre : Estimating the noise in space-geodetic positioning: the case of DORIS Type de document : Article/Communication Auteurs : Karine Le Bail , Auteur
Année de publication : 2006 Article en page(s) : pp 541 - 565 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géodésie spatiale
[Termes IGN] bruit blanc
[Termes IGN] bruit rose
[Termes IGN] données DORIS
[Termes IGN] ENVISAT
[Termes IGN] filtrage du bruit
[Termes IGN] méthode du maximum de vraisemblance (estimation)
[Termes IGN] positionnement par DORIS
[Termes IGN] série temporelle
[Termes IGN] SPOT
[Termes IGN] station DORIS
[Termes IGN] TOPEX-Poseidon
[Termes IGN] traitement du signalRésumé : (Auteur) The noise spectrum in DORIS ground-station motion is investigated by means of the Allan variance method applied to the decomposition of the 3D signal into its principal components in the time domain. Sets of weekly position time-series from 1994 to 2005 derived by three IDS Analysis Centres (IGN-JPL, INASAN, and LEGOS-CLS) for 119 stations at 69 sites are considered. The observing satellites are SPOT-2, SPOT-3, SPOT-4, and SPOT-5, TOPEX/Poseidon, and ENVISAT. Annual and semi-annual perturbations, as well as the 117.3-day term associated with the TOPEX/Poseidon orbit, are found at most stations. Their amplitudes reach up to 19.3, 23.7, and 13.3 mm, respectively, for the three analysis centres (ACs). When corrected for these components and a linear drift, the time-series dominantly show white noise (WN) at the 10-45mm level the noise level is the highest in the East direction, probably in connection with the high orbit inclinations. The noise level is minimum for the high latitude stations, mostly and intensively observed by the SPOT satellites, and the determination of the noise type is unclear; longer observation spans would be needed to decide between interannual variations and flicker noise. The improvement in positioning due to the DORIS constellation extension from three to five satellites in 2002, and the network rejuvenation program initiated in 2000, results in a decrease of the noise level by a factor of 1.7 in a WN context, both before and after the changes. One example of the benefit of studying the signal in the time eigenspace domain is the detection of anomalously large WN in the East direction for station HBKB (Hartebeesthoek, Africa) that masks the above-mentioned improvement. Studying the projection on the local frame of the second and third time-eigenspace components, a noise excess is detected in the North direction for some of the ACs. Station stability derived from our time-series analysis confirms, in general, the expected performance based on the careful technical review of the station components (antenna, pillar, etc.). The respective merits of our noise qualification method, based on direct time-series analysis in the time-eigenspace domain without any a priori statistical model, in comparison with other methods, such as the selection of a mixed-noise model by maximum likelihood estimation, are discussed. Copyright Springer Numéro de notice : A2006-535 Affiliation des auteurs : IGN (1940-2011) Thématique : POSITIONNEMENT Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1007/s00190-006-0088-y En ligne : https://doi.org/10.1007/s00190-006-0088-y Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28258
in Journal of geodesy > vol 80 n° 8-11 (November 2006) . - pp 541 - 565[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 266-06102 RAB Revue Centre de documentation En réserve L003 Disponible 266-06101 RAB Revue Centre de documentation En réserve L003 Disponible Model-based prediction error uncertainty estimation for K-NN method / H.J. Kim in Remote sensing of environment, vol 104 n° 3 (15/10/2006)
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Titre : Model-based prediction error uncertainty estimation for K-NN method Type de document : Article/Communication Auteurs : H.J. Kim, Auteur ; Erkki Tomppo, Auteur Année de publication : 2006 Article en page(s) : pp 257 - 263 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] Betula (genre)
[Termes IGN] classification barycentrique
[Termes IGN] erreur moyenne quadratique
[Termes IGN] Finlande
[Termes IGN] image Landsat-TM
[Termes IGN] inventaire forestier étranger (données)
[Termes IGN] Picea abies
[Termes IGN] Pinus (genre)
[Termes IGN] Populus (genre)
[Termes IGN] variogrammeRésumé : (Auteur) The k-nearest neighbour estimation method is one of the main tools used in multi-source forest inventories. It is a powerful non-parametric method for which estimates are easy to compute and relatively accurate. One downside of this method is that it lacks an uncertainty measure for predicted values and for areas of an arbitrary size. We present a method to estimate the prediction uncertainty based on the variogram model which derives the necessary formula for the k-nn method. A data application is illustrated for multi-source forest inventory data, and the results are compared at pixel level to the conventional RMSE method. We find that the variogram model-based method which is analytic, is competitive with the RMSE method. Numéro de notice : A2006-414 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2006.04.009 En ligne : https://doi.org/10.1016/j.rse.2006.04.009 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28138
in Remote sensing of environment > vol 104 n° 3 (15/10/2006) . - pp 257 - 263[article]Evaluation of the Oceansat-1 Multi-frequency Scanning Microwave Radiometer and its potential for soil moisture retrieval / J. Wen in International Journal of Remote Sensing IJRS, vol 27 n°18 - 19 - 20 (October 2006)
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Titre : Evaluation of the Oceansat-1 Multi-frequency Scanning Microwave Radiometer and its potential for soil moisture retrieval Type de document : Article/Communication Auteurs : J. Wen, Auteur ; Thomas J. Jackson, Auteur ; R. Bindlish, Auteur ; Z.B. Su, Auteur Année de publication : 2006 Article en page(s) : pp 3781 - 3796 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse comparative
[Termes IGN] analyse de sensibilité
[Termes IGN] carte thématique
[Termes IGN] erreur systématique
[Termes IGN] Etats-Unis
[Termes IGN] humidité du sol
[Termes IGN] image IRS-MSMR
[Termes IGN] température de luminanceRésumé : (Auteur) The Multi-frequency Scanning Microwave Radiometer (MSMR) aboard the Indian Space Research Organization—Oceansat-1 platform measured land surface brightness temperature at a C-band frequency and provided an opportunity for exploring large-scale soil moisture retrieval during its two-year period of operation. These data may provide a valuable extension to the Scanning Multichannel Microwave Radiometer (SMMR) and the Advanced Microwave Scanning Radiometer (AMSR) since they covered a portion of the time period between the two missions. This investigation was one of the first to utilize the MSMR data for a land application and, as a result, several data quality issues had to be addressed. These included geolocation accuracy, calibration (particularly over land), erroneous data, and the significance of anthropogenic radio-frequency interference (RFI). Calibration of the low frequency channels was evaluated using inter-comparisons between the Tropical Rainfall Measuring Mission/Microwave Imager (TRMM/TMI) and the MSMR brightness temperatures. Biases (TMI TB>MSMR TB) of 3.4 and 3.6 K were observed over land for the MSMR 10.65 GHz horizontal and vertical polarization channels, respectively. These results suggested that additional calibration of the MSMR data was required. Comparisons between the MSMR measured brightness temperature and ground measured volumetric soil moisture collected during the South Great Plain experiment (SGP99) indicated that the lower frequency and horizontal polarization observations had higher sensitivity to soil moisture. Using a previously developed soil emission model, multi-temporal regional soil moisture distributions were retrieved for the continental United States. Comparisons between the MSMR based soil moisture and ground measured volumetric soil moisture indicated a standard error of estimate of 0.052 m3/m3. Copyright Taylor & Francis Numéro de notice : A2006-456 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160500075642 En ligne : https://doi.org/10.1080/01431160500075642 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28180
in International Journal of Remote Sensing IJRS > vol 27 n°18 - 19 - 20 (October 2006) . - pp 3781 - 3796[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 080-06101 RAB Revue Centre de documentation En réserve L003 Disponible Analyse spatiale, évaluation et cartographie du risque glissement de terrain / Jean-Philippe Malet in Revue internationale de géomatique, vol 16 n°3 - 4 (septembre – novembre 2006)
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Titre : Analyse spatiale, évaluation et cartographie du risque glissement de terrain Type de document : Article/Communication Auteurs : Jean-Philippe Malet, Auteur ; Yannick Thiery, Auteur ; Olivier Maquaire, Auteur ; Anne Puissant, Auteur Année de publication : 2006 Article en page(s) : pp 499 - 525 Note générale : Bibliographie Langues : Français (fre) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] aléa
[Termes IGN] analyse spatiale
[Termes IGN] Barcelonnette
[Termes IGN] cartographie des risques
[Termes IGN] dommage matériel
[Termes IGN] effondrement de terrain
[Termes IGN] enjeu
[Termes IGN] modèle stochastique
[Termes IGN] risque naturel
[Termes IGN] système d'information géographiqueRésumé : (Auteur) Pour évaluer le risque « glissement de terrain », les techniques d'analyse spatiale sont rarement utilisées. En particulier, aucune étude concerne la cartographie automatique du risque «glissement de terrain» à grande échelle (1:10.000), échelle de travail correspondant à la cartographie réglementaire du risque naturel en France. Cet article présente une procédure en trois étapes pour évaluer ce risque en associant plusieurs modèles d'analyse. Dans un premier temps, la susceptibilité (composante spatiale de l'aléa) est évaluée par un modèle probabiliste bivarié (théorie de l'évidence). Dans un deuxième temps, leurs conséquences potentielles (ou dommages) sont estimées par l'identification des éléments à risques (enjeux) et de leurs valeurs dans un modèle d'analyse semi-empirique. Enfin, le risque est évalué en combinant les cartes de susceptibilité et les cartes de conséquences. La méthode a été élaborée dans le cadre du projet européen ALARM (Assessment of LandsIide Risk and Mitigation in Mountain Areas, 2001-2004), et a été testée dans le bassin de Barcelonnette (Alpes-de-Haute-Provence, France). Copyright Hermès Numéro de notice : A2006-579 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.3166/rig.16.499-525 En ligne : https://doi.org/10.3166/rig.16.499-525 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28302
in Revue internationale de géomatique > vol 16 n°3 - 4 (septembre – novembre 2006) . - pp 499 - 525[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 047-06031 RAB Revue Centre de documentation En réserve L003 Disponible 047-06032 RAB Revue Centre de documentation En réserve L003 Disponible A simulation study of the errors of omission and commission for GRACE RL01 gravity fields / B. Gunter in Journal of geodesy, vol 80 n° 7 (October 2006)
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Titre : A simulation study of the errors of omission and commission for GRACE RL01 gravity fields Type de document : Article/Communication Auteurs : B. Gunter, Auteur ; John Ries, Auteur ; S. Bettadpur, Auteur ; et al., Auteur Année de publication : 2006 Article en page(s) : pp 341 - 351 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géodésie physique
[Termes IGN] champ de pesanteur terrestre
[Termes IGN] erreur
[Termes IGN] estimation statistique
[Termes IGN] GRACE
[Termes IGN] modèle de géopotentiel
[Termes IGN] simulationRésumé : (Auteur) This paper examines the influence that certain omission and commission errors can have on the gravity field models estimated from the initial release of data (RL01) from the Gravity Recovery And Climate Experiment (GRACE) satellite mission. The effects of omission errors were analyzed by limiting the degree and order to which the GPS and K-band range-rate (KBR) measurement partials were extended in the solution process. The commission error studies focused on the impact of an imperfect mean reference gravity field model on the solution. Combinations of both of these error sources were also explored. The nature of these errors makes them difficult to distinguish from the true gravity signal, so the exploration of these error sources was performed using simulations; however, comparisons to real-data solutions are provided. The results show how each of the specific error sources investigated influences the gravity field solution. The simulations also show how all of the errors examined can be sufficiently mitigated through the appropriate choice of processing parameters. Copyright Springer Numéro de notice : A2006-449 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1007/s00190-006-0083-3 En ligne : https://doi.org/10.1007/s00190-006-0083-3 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28173
in Journal of geodesy > vol 80 n° 7 (October 2006) . - pp 341 - 351[article]Réservation
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