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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 : [Vedettes matières IGN] Nivellement [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 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 2021)  

Public [article]  inRemote sensing > vol 13 n°10 (May 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'apprentissage [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]

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

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)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 163 (May 2020) . - pp 98 - 120 Titre : Intertidal topography mapping using the waterline method from Sentinel-1 & -2 images: The examples of Arcachon and Veys Bays in France Type de document : Article/Communication Auteurs : Edward Salameh, Auteur ; Frédéric Frappart, Auteur ; Imen Turki, Auteur ; Benoit Laignel, Auteur Année de publication : 2020 Article en page(s) : pp 98 - 120 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image mixte [Termes IGN] aménagement du littoral [Termes IGN] Arcachon (bassin d') [Termes IGN] carte topographique [Termes IGN] Cotentin [Termes IGN] estran [Termes IGN] France (administrative) [Termes IGN] hydrodynamique [Termes IGN] image Sentinel-MSI [Termes IGN] image Sentinel-SAR [Termes IGN] modèle numérique de surface [Termes IGN] niveau de l'eau [Termes IGN] sédiment [Termes IGN] télédétection spatiale [Termes IGN] trait de côte [Termes IGN] zone tampon Résumé : (auteur) Intertidal flats lying as a buffer zone between land and sea provide critical services including protection against storm surges and coastal flooding. These environments are characterized by a continuous redistribution of sediment and changes in topography. Sea level rise, anthropogenic pressures, and their related stressors have a considerable impact on these areas and are expected to put them under more stress; hence the increased need for frequent and updated topography maps. Comparing to traditional surveying approaches, spaceborne remote sensing is able to provide topography maps more frequently with a lower cost and a higher coverage. The latter is currently considered as an established tool for measuring intertidal topography. In this study, an improved approach of the waterline method was developed to derive intertidal Digital Elevation Models (DEMs). The changes include a faster, more efficient and quasi-automatic detection and post-processing of waterlines. The edge detection technique consists in combining a k-means based segmentation and an active contouring procedure. This method was designed to generate closed contours in order to enable an automatization of the post-processing of the extracted waterlines. The waterlines were extracted from Sentinel-1 and Sentinel-2 images for two bays located on the French Coast: the Arcachon lagoon and the Bay of Veys. DEMs were generated for the Arcachon Bay between 2015 and 2018, and for the Bay of Veys between 2016 and 2018 using satellite acquisitions made during summer (low storm activity period). The comparison of the generated DEMs with lidar observations showed an error of about 19–25 cm. This study also demonstrated that the waterline method applied to Sentinel images is suitable for monitoring the morpho-sedimentary evolution in intertidal areas. By comparing the DEMs generated between 2016 and 2018, the Arcachon Bay and the Bay of Veys experienced net volume losses of 1.12 × 106 m3 and 0.70 × 106 m3 respectively. The generated DEMs provide useful and needed information for several scientific applications (e.g., sediment balance, hydrodynamic modelling), but also for authorities and stakeholders for coastal management and implementation of ecosystem protection policies. Numéro de notice : A2020-138 Affiliation des auteurs : non IGN Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2020.03.003 date de publication en ligne : 13/03/2020 En ligne : https://doi.org/10.1016/j.isprsjprs.2020.03.003 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94756 [article]

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

Public [article]  inGéomètre > n° 2179 (avril 2020) . - pp 46 - 48 Titre : Le sol s'affaisse, l'eau monte [Delta du Gange-Brahmapoutre-Meghna] Type de document : Article/Communication Auteurs : Marielle Mayo, Auteur Année de publication : 2020 Article en page(s) : pp 46 - 48 Langues : Français (fre) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] changement climatique [Termes IGN] delta [Termes IGN] effondrement de terrain [Termes IGN] Gange (fleuve) [Termes IGN] géomorphologie locale [Termes IGN] hydrodynamique [Termes IGN] image Envisat [Termes IGN] interféromètrie par radar à antenne synthétique [Termes IGN] méthode robuste [Termes IGN] montée du niveau de la mer [Termes IGN] sédiment [Termes IGN] submersion marine [Termes IGN] subsidence Résumé : (Auteur) Pour la première fois, une étude fondée sur une analyse robuste des données géospatiales offre une estimation fiable de la contribution de la subsidence du delta à la montée des eaux. Numéro de notice : A2020-180 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtSansCL DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94848 [article]

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

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

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

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

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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)  

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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)

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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)  

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

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Analyse préliminaire des relations entre hydrodynamisme, sédiments et macrophytes sur le lagon sud-ouest de Nouvelle-Calédonie / G. De La Fons (2003)

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Étude de la dynamique fluviale de la basse vallée du Doubs à partir d'images SPOT (1986-1998) / V.K. Stanev (2001)

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