Centre dedocumentation
scientifique

The potential impact of hydrodynamic leveling on the quality of the European vertical reference frame / Yosra Afrasteh in Journal of geodesy, vol 95 n° 8 (August 2021)  

Public [article]  inJournal of geodesy > vol 95 n° 8 (August 2021) . - n° 90 Titre : The potential impact of hydrodynamic leveling on the quality of the European vertical reference frame Type de document : Article/Communication Auteurs : Yosra Afrasteh, Auteur ; D.C. Slobbe, Auteur ; M. Verlaan, Auteur ; et al., Auteur Année de publication : 2021 Article en page(s) : n° 90 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] données marégraphiques [Termes IGN] écart type [Termes IGN] European vertical GPS reference network [Termes IGN] hydrodynamique [Termes IGN] méthode heuristique [Termes IGN] niveau moyen des mers [Termes IGN] nivellement [Termes IGN] qualité des données [Termes IGN] réseau européen unifié de nivellement [Vedettes matières IGN] Altimétrie Résumé : (auteur) The first objective of this paper is to assess by means of geodetic network analyses the impact of adding model-based hydrodynamic leveling data to the Unified European Leveling Network (UELN) data on the precision and reliability of the European Vertical Reference Frame (EVRF). In doing so, we used variance information from the latest UELN adjustment. The model-based hydrodynamic leveling data are assumed to be obtained from not-yet existing hydrodynamic models covering either all European seas surrounding the European mainland or parts of it that provide the required mean water level with uniform precision. A heuristic search algorithm was implemented to identify the set of hydrodynamic leveling connections that provide the lowest median of the propagated height standard deviations. In the scenario in which we only allow for connections between tide gauges located in the same sea basin, all having a precision of 3 cm, the median of the propagated height standard deviations improved by 38% compared to the spirit leveling-only solution. Except for the countries around the Black Sea, coastal countries benefit the most with a maximum improvement of 60% for Great Britain. We also found decreased redundancy numbers for the observations in the coastal areas and over the entire Great Britain. Allowing for connections between tide gauges among all European seas increased the impact to 42%. Lowering the precision of the hydrodynamic leveling data lowers the impact. The results show, however, that even in case the assumed precision is 5 cm, the overall improvement is still 29%. The second objective is to identify which tide gauges are most profitable in terms of impact. Our results show that these are the ones located in Sweden in which most height markers are located. The impact, however, hardly depends on the geographic location of the tide gauges within a country. Numéro de notice : A2021-586 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1007/s00190-021-01543-3 Date de publication en ligne : 24/07/2021 En ligne : https://doi.org/10.1007/s00190-021-01543-3 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=98203 [article]

A deep learning model using satellite ocean color and hydrodynamic model to estimate chlorophyll-a concentration / Daeyong Jin in Remote sensing, vol 13 n°10 (May-2 2021)  

Public [article]  inRemote sensing > vol 13 n°10 (May-2 2021) . - n° 2003 Titre : A deep learning model using satellite ocean color and hydrodynamic model to estimate chlorophyll-a concentration Type de document : Article/Communication Auteurs : Daeyong Jin, Auteur ; Eojin Lee, Auteur ; Kyonghwan Kwon, Auteur ; et al., Auteur Année de publication : 2021 Article en page(s) : n° 2003 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] apprentissage profond [Termes IGN] chlorophylle [Termes IGN] classification par réseau neuronal convolutif [Termes IGN] Corée du sud [Termes IGN] distribution spatiale [Termes IGN] données d'entrainement (apprentissage automatique) [Termes IGN] hydrodynamique [Termes IGN] image COMS-GOCI Résumé : (auteur) In this study, we used convolutional neural networks (CNNs)—which are well-known deep learning models suitable for image data processing—to estimate the temporal and spatial distribution of chlorophyll-a in a bay. The training data required the construction of a deep learning model acquired from the satellite ocean color and hydrodynamic model. Chlorophyll-a, total suspended sediment (TSS), visibility, and colored dissolved organic matter (CDOM) were extracted from the satellite ocean color data, and water level, currents, temperature, and salinity were generated from the hydrodynamic model. We developed CNN Model I—which estimates the concentration of chlorophyll-a using a 48 × 27 sized overall image—and CNN Model II—which uses a 7 × 7 segmented image. Because the CNN Model II conducts estimation using only data around the points of interest, the quantity of training data is more than 300 times larger than that of CNN Model I. Consequently, it was possible to extract and analyze the inherent patterns in the training data, improving the predictive ability of the deep learning model. The average root mean square error (RMSE), calculated by applying CNN Model II, was 0.191, and when the prediction was good, the coefficient of determination (R2) exceeded 0.91. Finally, we performed a sensitivity analysis, which revealed that CDOM is the most influential variable in estimating the spatiotemporal distribution of chlorophyll-a. Numéro de notice : A2021-417 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.3390/rs13102003 Date de publication en ligne : 20/05/2021 En ligne : https://doi.org/10.3390/rs13102003 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=97759 [article]

Dynamics of inundation events in the rivers-estuaries-ocean continuum in Bengal delta : synergy between hydrodynamic modelling and spaceborne remote sensing / Md Jamal Uddin Kahn (2021)  

Public Titre : Dynamics of inundation events in the rivers-estuaries-ocean continuum in Bengal delta : synergy between hydrodynamic modelling and spaceborne remote sensing Type de document : Thèse/HDR Auteurs : Md Jamal Uddin Kahn, Auteur ; Fabien Durand, Directeur de thèse ; Laurent Testut, Directeur de thèse Editeur : Toulouse : Université de Toulouse 3 Paul Sabatier Année de publication : 2021 Importance : 167 p. Format : 21 x 30 cm Note générale : Bibliographie Thèse présentée en vue de l’obtention du Doctorat en Océan, Atmosphère, Climat, de l’Université de Toulouse Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] Bengale, golfe du [Termes IGN] cyclone [Termes IGN] delta [Termes IGN] estran [Termes IGN] gestion des risques [Termes IGN] hydrodynamique [Termes IGN] image Sentinel-MSI [Termes IGN] marée océanique [Termes IGN] modèle numérique de surface [Termes IGN] niveau moyen des mers [Termes IGN] risque naturel [Termes IGN] submersion marine Index. décimale : THESE Thèses et HDR Résumé : (Auteur) The Bengal delta is the largest in the world. It is formed by the confluence of three transboundary rivers - Ganges, Brahmaputra, and Meghna. Flooding induced by large seasonal continental discharge, strong tide, and frequent deadly storm surges, regularly strikes this densely populated (density > 1000 person/km2), low-lying coastal region ( Note de contenu : 1. Introduction and Motivation 1.1 Introduction 1.2 The river deltas 1.3 Inundation in the Bengal delta 1.4 Bengal delta continuum and knowledge gaps 1.5 Scientific questions and study approach 1.6 Organization of the thesis 2. Hydrodynamic Modeling: Data and Methods 2.1 Introduction 2.2 Bathymetry assembly 2.3 Observations 2.4 Modelling framework 2.5 Model forcings and boundary condition 2.6 Assessment of tide 3. Intertidal Topography: Synergy Between Remote Sensing and Tidal Mod?elling 3.1 Introduction 3.2 Shoreline detection with Sentinel-2 imagery 3.3 Vertical referencing with tidal model 3.4 Results 3.5 Discussion 3.6 Conclusion 4. Coastal Tide: From the Present to the Future 4.1 Introduction 4.2 Observed trend in tidal range: The example of Hiron Point 4.3 Tidal model in the Bay of Bengal 4.4 Projected changes in tidal range in the Bengal delta 4.5 Tidal range evolution along the estuaries 4.6 Discussion 4.7 Conclusions 5. Storm Surge Modeling: A Case Study of Recent Super Cyclone Amphan 5.1 Introduction 5.2 Storm surge and inundation processes in the Bay of Bengal 5.3 Atmospheric evolution of cyclone Amphan 5.4 Storm surge model and performance 5.5 Near real-time storm surge forecasting 5.6 Discussion 5.7 Conclusions 5.8 Appendix 6. Storm Surge Hazard: A Probabilistic-Deterministic Approach 6.1 Introduction 6.2 Storm surge model 6.3 Probabilistic-deterministic cyclone ensemble 6.4 Storm surge hazard 6.5 Discussion 6.6 Conclusions and perspective 7. Conclusions and Perspectives for Future Work 7.1 Conclusion 7.2 Overview 7.3 Summary of conclusions and impacts 7.4 Future Research Perspectives 7.5 Transferrable lessons and concluding remarks Numéro de notice : 26768 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Thèse française Note de thèse : Thèse de Doctorat : Océan, Atmosphère, Climat : Toulouse : 2021 Organisme de stage : Laboratoire d'Etudes en Géophysique et Océanographie Spatiales LEGOS nature-HAL : Thèse DOI : sans Date de publication en ligne : 06/01/2022 En ligne : https://tel.archives-ouvertes.fr/tel-03514722/document Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99866

Hydrology / Theodore V. Hromadka II (2021)  

Public Titre : Hydrology Type de document : Monographie Auteurs : Theodore V. Hromadka II, Éditeur scientifique ; Prasada Rao, Éditeur scientifique Editeur : London [UK] : IntechOpen Année de publication : 2021 Importance : 122 p. Format : 19 x 27 cm ISBN/ISSN/EAN : 978-1-83962-331-8 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Hydrologie [Termes IGN] barrage [Termes IGN] changement climatique [Termes IGN] crue [Termes IGN] gestion de l'eau [Termes IGN] hydrodynamique [Termes IGN] hydrogéologie [Termes IGN] inondation [Termes IGN] modèle hydrographique [Termes IGN] précipitation [Termes IGN] sécheresse Résumé : (éditeur) In this book, an attempt is made to highlight the recent advances in Hydrology. The several topics examined in this book form the underpinnings of larger-scale considerations, including but not limited to topics such as large-scale hydrologic processes and the evolving field of Critical Zone Hydrology. Computational modeling, data collection, and visualization are additional subjects, among others, examined in the set of topics presented. Note de contenu : 1- Hydrometeorology: Review of past, present and future of methods 2- Perspectives of hydrologic modeling in agricultural research 3- Examination of hydrologic computer programs DHM and EDHM 4- Ecohydrology: An integrative sustainability science 5- Interlinking of river: Issues and challenges 6- Rivers of Lebanon: Significant water resources under threats 7- Statistical analysis of the precipitation isotope data with reference to the Indian subcontinent Numéro de notice : 28319 Affiliation des auteurs : non IGN Nature : Recueil / ouvrage collectif DOI : 10.5772/intechopen.87673 En ligne : https://doi.org/10.5772/intechopen.87673 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=98254

Using remote sensing and modeling to monitor and understand harmful algal blooms. Application to Karaoun Reservoir (Lebanon) / Najwa Sharaf (2021)  

Public Titre : Using remote sensing and modeling to monitor and understand harmful algal blooms. Application to Karaoun Reservoir (Lebanon) Type de document : Thèse/HDR Auteurs : Najwa Sharaf, Auteur ; Brigitte Vinçon-Leite, Directeur de thèse ; Kamal Slim, Directeur de thèse Editeur : Paris : Ecole Nationale des Ponts et Chaussées ENPC Année de publication : 2021 Importance : 132 p. Format : 21 x 30 cm Note générale : bibliographie Thèse de Doctorat Sciences et Techniques de l’environnement Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] algue [Termes IGN] barrage [Termes IGN] chlorophylle [Termes IGN] distribution spatiale [Termes IGN] espèce exotique envahissante [Termes IGN] hydrodynamique [Termes IGN] image Landsat-8 [Termes IGN] image Sentinel-MSI [Termes IGN] lac [Termes IGN] Liban [Termes IGN] modélisation 3D [Termes IGN] plancton [Termes IGN] simulation hydrodynamique [Termes IGN] température de surface Index. décimale : THESE Thèses et HDR Résumé : (auteur) Reservoirs are strategic water resources in particular for drinking water and hydropower production. Nevertheless, their physical and biogeochemical processes have been long influenced by anthropogenic pressures. A complete and regular monitoring of reservoir water quality in the context of current climate change, eutrophication and higher water demand, has become crucial for optimal management strategies. Recent progress in the satellite remote sensing field made it possible to enhance data acquisition on a synoptic scale and to perform retrospective studies. Satellite data can complement measurements however over a limited depth of the water column. In addition, three-dimensional (3D) numerical models which integrate physical, chemical and biological processes can fill temporal gaps and extend the information into the vertical domain.In this context, this PhD thesis focuses on the combined use of techniques and data derived from field monitoring, satellite remote sensing and 3D modeling. The overreaching objective of this work is to propose a combined approach for surveying the water quality of medium-sized reservoirs (~ 14 km2).The study site is Karaoun Reservoir, Lebanon (semi-arid climate, surface 12 km2, capacity 110 hm3). It mainly serves for hydropower however with possibly a future drinking water production. It is eutrophic and has been experiencing regular events of toxic cyanobacterial blooms. The following methodological approach was adopted:i) In situ measurements were regularly collected from spring to fall for the calibration and the validation of remote sensing algorithms and of the model.ii) In order to calibrate and validate remote sensing algorithms, Landsat 8 and Sentinel-2 imagery were atmospherically corrected using a single-channel algorithm and the 6SV code respectively.a. Four algorithms from literature for deriving surface temperature were validated using Landsat 8 thermal data.b. A previously calibrated and validated Sentinel-2 algorithm was applied to retrieve chlorophyll-a concentrations.c. An empirical algorithm was calibrated and validated in order to retrieve transparency from Sentinel-2 data.iii) In order to conduct a retrospective analysis of surface temperature, the validated single channel algorithm was applied to a series of Landsat images from 1984 to 2018.iv) In order to reproduce the hydrodynamics and ecological processes, including cyanobacterial biomass in space and time, the Delft3D model was configured, calibrated and validated for summer and fall. The spatial distribution of surface temperature and chlorophyll-a concentrations from the satellite and the model were investigated.The results of this study revealed that, among the four tested algorithms, the single channel algorithm dependent on atmospheric water vapor content and lake water emissivity yielded the best estimations of surface temperature. Using this validated algorithm, the retrospective analysis of surface temperature did not reveal any warming trend over the 1984-2018 period at the study site. Compared to in situ profiles, the Delft3D model represented well the evolution of the water level fluctuations, and the time and vertical distribution of temperature and phytoplankton biomass. Satellite data and model simulations showed minor spatial heterogeneities of surface temperature ( Note de contenu : General introduction 1- State of the art 2- Materials and methods 3- Field data analysis 4- Lake surface temperature retrieval from Landsat-8 and retrospective analysis 5- Thermal regime of reservoirs: A satellite and 3D modeling approach 6- 3D ecological modeling at Karaoun Reservoir 7- Conclusions and perspectives Numéro de notice : 28499 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Thèse française Note de thèse : Thèse de Doctorat : Sciences et Techniques de l’environnement : Ponts ParisTech : 2021 Organisme de stage : Laboratoire Eau Environnement et Systèmes Urbains DOI : sans En ligne : https://pastel.archives-ouvertes.fr/tel-03404563 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99311

Intertidal topography mapping using the waterline method from Sentinel-1 & -2 images: The examples of Arcachon and Veys Bays in France / Edward Salameh in ISPRS Journal of photogrammetry and remote sensing, vol 163 (May 2020)  

Permalink

Le sol s'affaisse, l'eau monte [Delta du Gange-Brahmapoutre-Meghna] / Marielle Mayo in Géomètre, n° 2179 (avril 2020)

Permalink

The Use of remote sensing in hydrology / Frédéric Frappart (2018)  

Permalink

Toward a systematic integration of optical remote sensing for inland waters studies / Vincent Maurice Nouchi (2018)  

Permalink

Integrating Landsat-7 imagery with physics-based models for quantitative mapping of coastal waters near river discharges / Nima Pahlevan in Photogrammetric Engineering & Remote Sensing, PERS, vol 78 n° 11 (November 2012)  

Permalink

Evolution morphodynamique interannuelle du littoral sud sur la Gironde / A. Dehouck in Revue Française de Photogrammétrie et de Télédétection, n° 197 (Juin 2012)  

Permalink

Understanding dynamics of large rivers aided by satellite remote sensing: a case study from Lower Ganga plains, India / R. Sinha in Geocarto international, vol 27 n° 3 (June 2012)  

Permalink

Apport géomorphologique du modele topobathymétrique integré numérique de l'estuaire de la Rance (Golfe Normand-Breton, Ouest de la France) / Zeineb Kassouk in Photo interprétation, vol 44 n° 3 - 4 (Décembre 2008)

Permalink

A Linking Test that establishes if groundwater recharge can be determined by optimising vegetation parameters against soil moisture / Joseph Alexander Paul Pollacco in Annals of Forest Science, Vol 65 n° 7 (October - November 2008)  

Permalink

Mapping of river surface currents with GNSS / J. Bancroft in Geomatica, vol 62 n° 3 (September 2008)

Permalink