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Assessing the capabilities of the Surface Water and Ocean Topography (SWOT) mission for large lake water surface elevation monitoring under different wind conditions

Jean Bergeron, Gabriela Siles, Robert Leconte, Mélanie Trudel, Damien Desroches, Daniel L. Peters
2020 Hydrology and Earth System Sciences  
The derived water surface elevations (WSEs) were compared to synthetic elevations produced by the Jet Propulsion Laboratory (JPL) SWOT high resolution (SWOT-HR) simulator.  ...  In general, a good agreement was found between the WSE simulated from the model and those mimicked by the SWOT-HR simulator.  ...  We thank the CNES for providing access to the SWOT-HR simulator and processing tools, which were all developed by the SWOT JPL project. Financial support.  ... 
doi:10.5194/hess-24-5985-2020 fatcat:cimg4h57grbxdckrmdkuw3tcjy

A review of applications of satellite SAR, optical, altimetry and DEM data for surface water modelling, mapping and parameter estimation

Z. N. Musa, I. Popescu, A. Mynett
2015 Hydrology and Earth System Sciences Discussions  
Use of satellite data to estimate hydrological parameters continues to increase due to use of better sensors, improvement in knowledge of/and utilization of satellite data, and expansion of research topics  ...  Hydrological data collection requires deployment of physical infrastructure like rain gauges, water level gauges, as well as use of expensive equipment like echo sounders.  ...  The method, based on fuzzy connectivity concepts, automatically selected the coastline from two InSAR images using the coherence of the two images.  ... 
doi:10.5194/hessd-12-4857-2015 fatcat:vbggbmh7mrhyfdvrn5urjjn7bi

A review of applications of satellite SAR, optical, altimetry and DEM data for surface water modelling, mapping and parameter estimation

Z. N. Musa, I. Popescu, A. Mynett
2015 Hydrology and Earth System Sciences  
Use of satellite data to estimate hydrological parameters continues to increase due to use of better sensors, improvement in knowledge of and utilization of satellite data, and expansion of research topics  ...  </strong> Hydrological data collection requires deployment of physical infrastructure like rain gauges, water level gauges, as well as use of expensive equipment like echo sounders.  ...  The method, based on fuzzy connectivity concepts, automatically selected the coastline from two InSAR images using the coherence of the two images.  ... 
doi:10.5194/hess-19-3755-2015 fatcat:t7dpic2zdzbmpd2wtwduswq4uq

2019 Index IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Vol. 12

2019 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
., +, JSTARS July 2019 2565-2574 Water Detection in SWOT HR Images Based on Multiple Markov Random Fields.  ...  ., +, JSTARS May 2019 1369-1382 Mapping Forested Floodplain Topography Using InSAR and Radar Altimetry.  ... 
doi:10.1109/jstars.2020.2973794 fatcat:sncrozq3fjg4bgjf4lnkslbz3u

Altimetry for the future: Building on 25 years of progress

Saleh Abdalla, Abdolnabi Abdeh Kolahchi, Susheel Adusumilli, Suchandra Aich Bhowmick, Eva Alou-Font, Laiba Amarouche, Ole Baltazar Andersen, Helena Antich, Lotfi Aouf, Brian Arbic, Thomas Armitage, Sabine Arnault (+349 others)
2021 Advances in Space Research  
and Mean Dynamic Topography, Calibration and Validation, data accuracy, data access and handling (including the DUACS system).  ...  Section 7 brings a transversal view on scales, integration, artificial intelligence, and capacity building (education and training).  ...  Other studies have also used radar altimetry data to understand surface water storage and variability in rivers and floodplains Melo, 2019) .  ... 
doi:10.1016/j.asr.2021.01.022 fatcat:zgsllfqrgnfyporr7rs2dgb77e

Enhancing Operational Flood Detection Solutions through an Integrated Use of Satellite Earth Observations and Numerical Models

MAURO ARCORACE
2021
The input runoff volume is distributed from channel to hillslope cells of the DEM by using an iterative flood volume optimization based on Manning's equation.  ...  The simplified hydraulic modeling adopted in this method consists of a hydro-geomorphological approach based on the Height Above the Nearest Drainage (HAND) model (Nobre et al., 2015).  ...  the filtering of HR elevation data, Lindsay et al. published in 2019 a method that can be efficiently used to denoise high-resolution DEM such as the LiDAR data.  ... 
doi:10.15167/arcorace-mauro_phd2021-05-28 fatcat:y5yexvb465av7iarsskmh5bmea

An overview of MATISSE-v2.0

Luc Labarre, Karine Caillault, Sandrine Fauqueux, Claire Malherbe, Antoine Roblin, Bernard Rosier, Pierre Simoneau, Karin Stein, John D. Gonglewski
2010 Optics in Atmospheric Propagation and Adaptive Systems XIII  
This Programme is based on commitments received up to the time of publication and is subject to change without notice.  ...  We discuss this influence based on one and two photon polarized light microscopy and local ellipsometric analysis of the two photon fluorescence emission.  ...  Acknowledgements: The author thanks his many coworkers for supplied data. 8545-15, Session 6 Antioxidant and antimicrobial activities of Green Tea Extract loaded into solid lipid nanoparticles Ana-Maria  ... 
doi:10.1117/12.868183 fatcat:5anlqspzzzcftfufaxvlr45zve

Modeling Flood Extent of a Large Wetland in a Data-Scarce Region Using Hydrodynamic and Empirical Models

Md Mominul Haque, University, My, University, My
2020
The Inner Niger Delta (IND), Mali, West Africa, is one of the biggest floodplains in the world, has a vast natural resource that attracts many people to live in and around the delta.  ...  This thesis contributes to a better water resources management of the IND by a) developing the first 2D hydrodynamic model based on a triangular adaptative mesh of the IND that performs well despite the  ...  Methods for estimating the inundation area can be roughly divided into three types: methods based on Digital Elevation Models (DEMs), methods based on hydrodynamic model simulations, and remote sensing  ... 
doi:10.20381/ruor-24347 fatcat:bod3r35g65f7ri3yhlaii6vnk4