Literatura científica selecionada sobre o tema "Hauteur de la colonne d’eau (WCD)"
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Artigos de revistas sobre o assunto "Hauteur de la colonne d’eau (WCD)"
Nola, M., T. Njiné, N. Kemka, S. H. Zébazé Togouet, P. Servais, M. Messouli, Cl Boutin, A. Monkiedje e S. Foto Menbohan. "Transfert des bactéries fécales vers une nappe phréatique à travers une colonne de sol en région équatoriale : influence de la charge en eau appliquée en surface". Revue des sciences de l'eau 19, n.º 2 (9 de junho de 2006): 101–12. http://dx.doi.org/10.7202/013044ar.
Texto completo da fonteLépinasse, E., M. Marion, S. Guella, S. Alexandrova e A. Saboni. "Absorption et désorption du dioxyde de souffre par des gouttes d'eau de fort diamètre en chute." Revue des sciences de l'eau 18, n.º 1 (12 de abril de 2005): 5–23. http://dx.doi.org/10.7202/705547ar.
Texto completo da fonteRezgui, Atef, Naceur Ben Maiz e Mahmoud Moussa. "Fonctionnement hydrodynamique et écologique du Lac Nord de Tunis par modélisation numérique". Revue des sciences de l'eau 21, n.º 3 (16 de outubro de 2008): 349–61. http://dx.doi.org/10.7202/018781ar.
Texto completo da fonteMiallier, Didier. "Variations récentes de niveau du lac Pavin : essai de mise en cohérence des différentes sources d’information". BSGF - Earth Sciences Bulletin 191 (2020): 4. http://dx.doi.org/10.1051/bsgf/2020006.
Texto completo da fonteTeses / dissertações sobre o assunto "Hauteur de la colonne d’eau (WCD)"
Ghannami, Mohamed Ali. "Statistical Inference of Water Column Depth through Radiometric and Geometric Analysis of Spectral Imagery". Electronic Thesis or Diss., Brest, École nationale supérieure de techniques avancées Bretagne, 2024. http://www.theses.fr/2024ENTA0008.
Texto completo da fonteThe complexities of mapping shallow water bodies, particularly coastal areas, have long been studied, yet a focused understanding of Water Column Depth (WCD) uncertainties remains notably lacking. While accurate measurement of these uncertainties is crucial for reliable bathymetric charts and safe navigation, current research has primarily focused on WCD estimation without considering associated uncertainties. Traditional approaches, whether radiometric or geometric analyses of spectral imagery, face distinct limitations in optically complex waters and featureless seabeds, respectively. Our work introduces a likelihood-based inference framework designed for robust estimation of WCD uncertainties through two main objectives. First, we develop a radiometric inferential approach based on Radiative Transfer (RT) modeling with Semi-Analytical (SA) techniques, enabling detailed analysis of uncertainties and inherent biases. Second, we establish a geometric inferential approach using stereo-photogrammetric triangulation to evaluate WCD uncertainties from a geometric perspective. These frameworks are validated through realistic simulations, focusing on understanding and quantifying WCD uncertainties. Our findings confirm the effectiveness of the likelihood-based inference framework in quantifying uncertainties for both radiometric and geometric WCD estimations. This research makes a significant contribution to passive remote sensing and marine science by providing reliable, comprehensive methods for assessing uncertainties in shallow water mapping