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Multi‐scale observations of atmospheric moisture variability in relation to heavy precipitating systems in the northwestern Mediterranean during HyMeX IOP12 / Samiro Khodayar in Quarterly Journal of the Royal Meteorological Society, vol 144 n° 717 (October 2018 Part B)
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Titre : Multi‐scale observations of atmospheric moisture variability in relation to heavy precipitating systems in the northwestern Mediterranean during HyMeX IOP12 Type de document : Article/Communication Auteurs : Samiro Khodayar, Auteur ; Beata Czajka, Auteur ; Alberto Caldas-Álvarez, Auteur ; Sebastian Helgert, Auteur ; Cyrille Flamant, Auteur ; Olivier Bock , Auteur ; Patrick Chazette, Auteur Année de publication : 2018 Projets : HyMeX / Richard, Evelyne Article en page(s) : pp 2761 - 2780 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de géodésie spatiale
[Termes IGN] convection
[Termes IGN] coordonnées GPS
[Termes IGN] couche atmosphérique
[Termes IGN] distribution spatiale
[Termes IGN] données météorologiques
[Termes IGN] humidité de l'air
[Termes IGN] image Cosmo-Skymed
[Termes IGN] Méditerranée, mer
[Termes IGN] teneur intégrée en vapeur d'eau
[Termes IGN] troposphèreRésumé : (auteur) The deployment of special instrumentation for the Hydrological Cycle in the Mediterranean Experiment (HyMeX) provides a valuable opportunity to investigate the spatio‐temporal variability of atmospheric water vapour across scales in relationship with the occurrence of Heavy Precipitation Systems (HPSs) in the north Western Mediterranean (WMed) during the Intensive Observation Period (IOP12), which is the focus of this investigation. High‐resolution convection‐permitting COSMO simulations complement the observational network and allow the calculation of on‐line trajectories. In addition to the presence of a favourable large‐scale situation and low‐level convergence, atmospheric moisture changes resulting in conditionally unstable air are identified as responsible for convective initiation (CI). All HPSs within the north‐WMed form in periods/areas of maximum integrated water vapour (IWV; 35–45 kg/m2) after an increase of about 10–20 kg/m2. The most intense events receive moisture from different sources simultaneously and show a sudden increase of about 10 kg/m2 between 6 and 12 h prior to the event, whereas in the less intense events the increase is larger, about 20 kg/m2, over a period of at least 24–36 h. Changes in the lower (∼900 hPa) and mid‐troposphere (∼700 hPa) control the evolution of the atmospheric moisture and the instability increase prior to CI. Spatial inhomogeneities in the lower boundary layer determine the timing and location of deep convection, whereas enhanced moisture in the mid‐troposphere favours intensification. Moister and deeper boundary layers, with updraughts reaching up to 2 km are identified in those pre‐convective environments leading to HPS, whereas dry, shallow boundary layers are found everywhere else. The build‐up time and vertical distribution of the moisture changes are found to be crucial for the evolution and severity of the HPSs rather than the amount of total column atmospheric moisture. Numéro de notice : A2018-550 Affiliation des auteurs : LASTIG LAREG+Ext (2012-mi2018) Thématique : POSITIONNEMENT Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1002/qj.3402 Date de publication en ligne : 09/09/2018 En ligne : https://doi.org/10.1002/qj.3402 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91637
in Quarterly Journal of the Royal Meteorological Society > vol 144 n° 717 (October 2018 Part B) . - pp 2761 - 2780[article]Nouvelle méthode en cascade pour la classification hiérarchique multi-temporelle ou multi-capteur d'images satellitaires haute résolution / Ihsen Hedhli in Revue Française de Photogrammétrie et de Télédétection, n° 216 (février 2018)
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Titre : Nouvelle méthode en cascade pour la classification hiérarchique multi-temporelle ou multi-capteur d'images satellitaires haute résolution Type de document : Article/Communication Auteurs : Ihsen Hedhli, Auteur ; Gabriele Moser, Auteur ; Josiane Zerubia, Auteur Année de publication : 2018 Article en page(s) : pp 3 - 17 Note générale : Bibliographie Langues : Français (fre) Descripteur : [Vedettes matières IGN] Traitement d'image mixte
[Termes IGN] appariement d'images
[Termes IGN] arbre (mathématique)
[Termes IGN] chaîne de Markov
[Termes IGN] classification bayesienne
[Termes IGN] classification dirigée
[Termes IGN] image Cosmo-Skymed
[Termes IGN] image Pléiades-HR
[Termes IGN] modèle statistique
[Termes IGN] résolution multiple
[Termes IGN] série temporelleRésumé : (Auteur) Ce papier présente un modèle de classification multi-résolution, multi-date et éventuellement multi-capteur fondé sur une modélisation statistique explicite au travers d'un modèle hiérarchique de champs de Markov construit sur une structure quad-arbre. L'approche proposée consiste en un classifieur bayésien supervisé qui combine un modèle statistique conditionnel par classe et un champ de Markov hiérarchique fusionnant l'information spatio-temporelle et multi-résolution. La méthode proposée intègre des informations pixel par pixel à la même résolution. Cela en se basant sur le critère des Modes Marginales a Posteriori (MPM en anglais), qui vise à affecter à chaque pixel l'étiquette optimale en maximisant récursivement la probabilité marginale a posteriori, étant donné l'ensemble des observations multi-temporelles ou multi-capteur. Une des originalités de l'approche proposée est l'utilisation en cascade de plusieurs quad-arbres, chacun étant associé à une nouvelle image disponible, en vue de caractériser les corrélations associées à des images distinctes. Numéro de notice : A2018-091 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueNat DOI : 10.52638/rfpt.2018.301 Date de publication en ligne : 19/04/2018 En ligne : https://doi.org/10.52638/rfpt.2018.301 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89500
in Revue Française de Photogrammétrie et de Télédétection > n° 216 (février 2018) . - pp 3 - 17[article]Estimation of surface roughness over bare agricultural soil from Sentinel-1 data / Mohammad Choker (2018)
Titre : Estimation of surface roughness over bare agricultural soil from Sentinel-1 data Type de document : Thèse/HDR Auteurs : Mohammad Choker, Auteur ; Nicolas Baghdadi, Directeur de thèse ; Mehrez Zribi, Directeur de thèse Editeur : Paris, Nancy, ... : AgroParisTech (2007 -) Année de publication : 2018 Importance : 214 p. Format : 21 x 30 cm Note générale : bibliographie
Thèse pour obtenir le grade de Docteur de l'Institut des Sciences et Industries du Vivant et de l'Environnement, AgroParisTech, GéomatiqueLangues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] bande C
[Termes IGN] écho radar
[Termes IGN] état de surface du sol
[Termes IGN] humidité du sol
[Termes IGN] image Cosmo-Skymed
[Termes IGN] image Sentinel-SAR
[Termes IGN] image TerraSAR-X
[Termes IGN] modèle de rétrodiffusion
[Termes IGN] polarisation
[Termes IGN] rugosité du sol
[Termes IGN] surface cultivée
[Termes IGN] télédétection en hyperfréquenceIndex. décimale : THESE Thèses et HDR Résumé : (auteur) Spatial remote sensing is of paramount importance for mapping and monitoring environmental problems. Its interest lies in the ability of space satellite sensors in providing permanent information of the planet, at local, regional and global scales. Also, it provides spatial and repetitive territories visions and ecosystem views. Radar remote sensing has shown great potential in recent years for the characterization of soil surface conditions. The state of the soil surface, in particular moisture and roughness, has a fundamental influence on the distribution of rainfall between infiltration, surface retention and runoff. In addition, it plays an essential role in surface hydrological processes and those associated with erosion and evapotranspiration processes. Characterization and consideration of these surface conditions have been recently considered as an important issue for physically based modeling of hydrological processes or for surface-atmosphere coupling. In this context and for several years, several scientific studies have shown the potential of active microwave data for estimation of the soil moisture and the surface roughness.New SAR (Synthetic Aperture Radar) systems have opened new perspectives for earth observation through improved spatial resolution (metric on TerraSAR-X and COSMO-SkyMed) and temporal resolution (TerraSAR-X, COSMO-SkyMed, Sentinel-1) . The recent availability of new Sentinel-1 C-band radar sensors (free and open access) makes it essential to evaluate the potential of Sentinel-1 data for the characterization of soil surface conditions and in particular surface roughness.The work revolves around three parts. The first part consist of evaluation of the most used radar backscattering models (IEM, Oh, Dubois, and AIEM) using a wide dataset of SAR data and experimental soil measurements. This evaluation gives the ability to find the most robust backscattering model that simulates the radar signal with good agreement in order to use later in the inversion procedure of the radar signal for estimating the soil roughness. The second research axe of this thesis consists of proposing an empirical radar backscattering model for HH, HV and VV polarizations. This new model will be developed using a large real dataset. This new model also will be used in the inversion procedure of the radar signal for estimating the soil roughness. The last axe of this thesis consists of producing a method to invert the radar signal using neural networks. The objective is to evaluate the potential of Sentinel-1 data for estimating surface roughness. These neural networks will be trained using wide synthetic dataset produced from the radar backscattering models chosen (IEM calibrated by Baghdadi and the new proposed model) and validated using two datasets: one synthetic dataset and one real (Sentinel 1 images and in-situ measurements). The real datasets are collected from Tunisia (Kairouan) and France (Versailles). Note de contenu : 1- Introduction
2- Generalities
3- Evaluation of radar backscattering models
4- A new empirical model for radar scattering from bare soil surfaces
5- Estimation of soil roughness using neural networks from sentinel-1 SAR data
6- General conclusion and perspectivesNuméro de notice : 25595 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Thèse française Note de thèse : Thèse de Doctorat : Géomatique : Paris : 2018 Organisme de stage : TETIS (Montpellier) nature-HAL : Thèse DOI : sans En ligne : https://tel.archives-ouvertes.fr/tel-02293194/document Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95218 Use of SAR data for detecting floodwater in urban and agricultural areas: the role of the interferometric coherence / Luca Pulvirenti in IEEE Transactions on geoscience and remote sensing, vol 54 n° 3 (March 2016)
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Titre : Use of SAR data for detecting floodwater in urban and agricultural areas: the role of the interferometric coherence Type de document : Article/Communication Auteurs : Luca Pulvirenti, Auteur ; Marco Chini, Auteur ; Nazzareno Pierdicca, Auteur ; Giorgio Boni, Auteur Année de publication : 2016 Article en page(s) : pp 1532 - 1544 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] Emilie-Romagne (Italie)
[Termes IGN] gestion des risques
[Termes IGN] image Cosmo-Skymed
[Termes IGN] image radar moirée
[Termes IGN] inondation
[Termes IGN] interprétation automatique
[Termes IGN] milieu urbain
[Termes IGN] surface cultivée
[Termes IGN] zone à risqueRésumé : (Auteur) The use of synthetic aperture radar (SAR) data is presently well established in operational services for flood management. Nevertheless, detecting inundated vegetation and urban areas still represents a critical issue, because the radar signatures of these targets are often ambiguous. This paper analyzes the role of the interferometric coherence in complementing intensity SAR data for mapping floods in agricultural and urban environments. The advantages of the joint use of intensity and coherence are first discussed in a theoretical way and then verified on a case study, namely, the flood that hit the Emilia-Romagna region (Northern Italy) in January 2014. The short revisit time of the COSMO-SkyMed images, as well as a dedicated acquisition plan tailored to the requirements of the Italian Civil Protection Department, has allowed us to build a data set of radar interferometric observations of the event. Results show that the analysis of the multitemporal trend of the coherence is useful for the interpretation of SAR data since it enables a considerable reduction of classification errors that could be committed considering intensity data only. Interferometric data have permitted us to distinguish zones where water receded from areas where it persisted for a longer time and, in one case, to measure changes of water level. Numéro de notice : A2016-131 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2015.2482001 En ligne : https://doi.org/10.1109/TGRS.2015.2482001 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80018
in IEEE Transactions on geoscience and remote sensing > vol 54 n° 3 (March 2016) . - pp 1532 - 1544[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 065-2016031 SL Revue Centre de documentation Revues en salle Disponible The Costa Concordia last cruise: The first application of high frequency monitoring based on COSMO-SkyMed constellation for wreck removal / Andrea Ciampalini in ISPRS Journal of photogrammetry and remote sensing, vol 112 (February 2016)
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Titre : The Costa Concordia last cruise: The first application of high frequency monitoring based on COSMO-SkyMed constellation for wreck removal Type de document : Article/Communication Auteurs : Andrea Ciampalini, Auteur ; Federico Raspini, Auteur ; Silvia Bianchini, Auteur ; et al., Auteur Année de publication : 2016 Article en page(s) : pp 37 – 49 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] dommage physique
[Termes IGN] image Cosmo-Skymed
[Termes IGN] Méditerranée, mer
[Termes IGN] navire
[Termes IGN] surveillance écologique
[Termes IGN] transport maritimeRésumé : (auteur) The Italian vessel Costa Concordia wrecked on January 13th 2012 offshore the Giglio Island (Tuscany, Italy), with the loss of 32 lives. Salvage operation of the vessel started immediately after the wreck. This operation was the largest and most expensive maritime salvage ever attempted on a wrecked ship and it ended in July 2014 when the Costa Concordia was removed from the Giglio Island, and dragged in the port of Genoa where it was dismantled. The refloating and removal phases of the Costa Concordia were monitored, in the period between 14th and 27th of July, exploiting SAR (Synthetic Aperture Radar) images acquired by the X-band COSMO-SkyMed satellite constellation in crisis mode. The main targets of the monitoring system were: (i) the detection of possible spill of pollutant material from the vessel and (ii) to exclude that oil slicks, illegally produced by other vessels, could be improperly linked to the naval convoy during its transit along the route between the Giglio Island and the port of Genoa. Results point out that the adopted monitoring system, through the use of the COSMO-SkyMed constellation, can be profitably employed to monitor emergency phases related to single ship or naval convoy over wide areas and with a suitable temporal coverage. Furthermore, the refloating and removal phases of the Costa Concordia were a success because no pollution was produced during the operations. Numéro de notice : A2016-138 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2015.12.001 En ligne : https://doi.org/10.1016/j.isprsjprs.2015.12.001 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80311
in ISPRS Journal of photogrammetry and remote sensing > vol 112 (February 2016) . - pp 37 – 49[article]CAESAR: an approach based on covariance matrix decomposition to improve multibaseline–multitemporal interferometric SAR processing / Gianfranco Fornaro in IEEE Transactions on geoscience and remote sensing, vol 53 n° 4 (April 2015)PermalinkEvaluation and comparison of different radargrammetric approaches for Digital Surface Models generation from COSMO-SkyMed, TerraSAR-X, RADARSAT-2 imagery: Analysis of Beauport (Canada) test site / P. Capaldo in ISPRS Journal of photogrammetry and remote sensing, vol 100 (February 2015)PermalinkImproved topographic mapping through high-resolution SAR interferometry with atmospheric effect removal / Mingsheng Liao in ISPRS Journal of photogrammetry and remote sensing, vol 80 (June 2013)PermalinkFrom previous C-Band to new X-band SAR systems : Assessment of the DInSAR mapping improvement for deformation time-series retrieval in urban areas / Manuela Bonano in IEEE Transactions on geoscience and remote sensing, vol 51 n° 4 Tome 1 (April 2013)PermalinkA hierarchical approach to change detection in very high resolution SAR images for surveillance applications / Francesca Bovolo in IEEE Transactions on geoscience and remote sensing, vol 51 n° 4 Tome 1 (April 2013)PermalinkExtraction du trait instantané de côte à partir d'images optiques satellites haute-résolution et radar / Valerio Baiocchi in Géomatique expert, n° 89 (01/11/2012)Permalinkvol 73 - September 2012 - Innovative applications of SAR interferometry from modern satellite sensors (Bulletin de ISPRS Journal of photogrammetry and remote sensing) / U. SoergerlPermalinkShanghai subway tunnels and highways monitoring through Cosmo-SkyMed Persistent Scatterers / Daniele Perissin in ISPRS Journal of photogrammetry and remote sensing, vol 73 (September 2012)PermalinkCOSMO-SkyMed for digital surface models / M. Crespi in GIM international, vol 26 n° 6 (June 2012)PermalinkMétrologie satellitaire et évaluation des risques liés aux instabilités des sols et des structures : une innovation au service de la ville durable / F. Ranvier in Travaux, n° 877 (01/12/2010)Permalink