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Receiver DCB analysis and calibration in geomagnetic storm-time using IGS products / Jianfeng Li in Survey review, Vol 53 n° 377 (February 2021)  

Public [article]  inSurvey review > Vol 53 n° 377 (February 2021) . - pp 122 - 135 Titre : Receiver DCB analysis and calibration in geomagnetic storm-time using IGS products Type de document : Article/Communication Auteurs : Jianfeng Li, Auteur ; Dingfa Huang, Auteur ; Yinghao Zhao, Auteur ; et al., Auteur Année de publication : 2021 Article en page(s) : pp 122 - 135 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de géodésie spatiale [Termes IGN] erreur systématique de code différentiel [Termes IGN] international GPS service for geodynamics [Termes IGN] modèle ionosphérique [Termes IGN] perturbation ionosphérique [Termes IGN] positionnement différentiel [Termes IGN] positionnement par GNSS [Termes IGN] précision de l'estimation [Termes IGN] récepteur GNSS [Termes IGN] tempête magnétique [Termes IGN] teneur totale en électrons Résumé : (auteur) Solar activity and geomagnetic storm cause ionospheric disturbance and affect the GNSS positioning accuracy, which this effect cannot be ignored. The reliability depends mainly on differential code bias (DCB), when estimating the total electron content (TEC) with GNSS pseudorange observations. This study analyzes the variation characteristics of receiver DCB (RDCB) during a strong geomagnetic storm to determine whether the RDCB estimation is affected by space weather. Results show that the RDCB dispersion of low-latitude stations is larger than that of other areas. On the storm day, the RDCB standard deviation (STD) exhibits a peak characteristic and the number of RDCB abnormal stations is significantly more than that on quiet day. Analysis shows that the RDCB abnormality is caused by the ionospheric model misalignment during the ionospheric disturbance. By correcting the RDCB, the RDCB STD is reduced by 43.10%. Thus, the model correction can improve the estimation accuracy of RDCB during geomagnetic storm. Numéro de notice : A2021-194 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/00396265.2019.1702369 Date de publication en ligne : 15/12/2019 En ligne : https://doi.org/10.1080/00396265.2019.1702369 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=97128 [article]

Geo-spatial analysis in hydrology / Qiming Zhou (2020)  

Public Titre : Geo-spatial analysis in hydrology Type de document : Monographie Auteurs : Qiming Zhou, Éditeur scientifique ; Jianfeng Li, Éditeur scientifique Editeur : Bâle [Suisse] : Multidisciplinary Digital Publishing Institute MDPI Année de publication : 2020 Importance : 124 p. Format : 21 x 30 cm ISBN/ISSN/EAN : 978-3-03936-981-2 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] barrage [Termes IGN] bassin hydrographique [Termes IGN] évapotranspiration [Termes IGN] hydrographie [Termes IGN] image optique [Termes IGN] image Sentinel-MSI [Termes IGN] inondation [Termes IGN] modèle hydrographique [Termes IGN] modèle numérique de surface [Termes IGN] occupation du sol [Termes IGN] ruissellement [Termes IGN] système d'information géographique [Termes IGN] utilisation du sol Résumé : (auteur) Geo-spatial analysis has become an essential component of hydrological studies to process and examine geo-spatial data such as hydrological variables (e.g., precipitation and discharge) and basin characteristics (e.g., DEM and land use land cover). The advancement of the data acquisition technique helps accumulate geo-spatial data with more extensive spatial coverage than traditional in-situ observations. The development of geo-spatial analytic methods is beneficial for the processing and analysis of multi-source data in a more efficient and reliable way for a variety of research and practical issues in hydrology. This book is a collection of the articles of a published Special Issue Geo-Spatial Analysis in Hydrology in the journal ISPRS International Journal of Geo-Information. The topics of the articles range from the improvement of geo-spatial analytic methods to the applications of geo-spatial analysis in emerging hydrological issues. The results of these articles show that traditional hydrological/hydraulic models coupled with geo-spatial techniques are a way to make streamflow simulations more efficient and reliable for flood-related decision making. Geo-spatial analysis based on more advanced methods and data is a reliable resolution to obtain high-resolution information for hydrological studies at fine spatial scale. Note de contenu : 1- Dynamic 3D simulation of flood risk based on the integration of spatio-temporal GIS and hydrodynamic models 2- Integrated hazard modeling for simulating torrential stream response to flash flood events 3- Consideration of level of confidence within multi-approach satellite-derived bathymetry 4- A method of watershed delineation for flat terrain using Sentinel-2A imagery and DEM: A case study of the Taihu basin 5- Monitoring the water quality of small water bodies using high-resolution remote sensing data 6- Estimation of crop water deficit in lower Bari doab, Pakistan using reflection-based crop coefficient Numéro de notice : 28625 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/IMAGERIE Nature : Recueil / ouvrage collectif DOI : 10.3390/books978-3-03936-981-2 En ligne : https://doi.org/10.3390/books978-3-03936-981-2 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99556