The monitoring of river water levels, river discharges, water bodies extent, storage in lakes and reservoirs, flooding and floodplain dynamics plays a key role in assessing water resources, understanding surface water dynamics, characterizing and mitigating water related risks and enabling integrated management of water resources and aquatic ecosystems.

While in situ measurement networks play a central role in the monitoring effort, remote sensing techniques are expected to contribute in an increasing way, as they can provide homogeneous and near real time measurements over large areas, from local to basin wide, regional and global.

In this context, remote sensing represents a value source of data and observations that may alleviate the decline in field surveys and gauging stations, especially in remote areas and developing countries. The implementation of remotely-sensed variables (such as digital elevation model, river width, flood extent, water level, land cover, etc.) in hydraulic modelling promises to considerably improve our process understanding and prediction and during the last decades, an increasing amount of research has been undertaken to better exploit the potential of current and future satellite observations. In particular, in recent years, the scientific community has shown how remotely sensed variables have the potential to play a key role in the calibration and validation of hydraulic models, as well as provide a breakthrough in real-time monitoring applications. However, except for a few pioneering studies, the potential of remotely sensed data to enhance water-related modelling and applications has not yet been fully enough explored, and the use of such data for operational decision-making is far from being consolidated. In this scenario, the forthcoming satellite missions dedicated to global water surfaces monitoring will enhance the quality, as well as the spatial and temporal coverage, of remotely sensed data, thus offering new frontiers and opportunities to enhance the understanding of flood dynamics and our capability to map their extents.

We encourage presentations related to flood monitoring, water level, storage and discharge etc through remotely sensed data including:

- Remote sensing data for flood hazard and risk mapping;
- Remote sensing techniques to monitor flood dynamics;
- The use of remotely sensed data for the calibration, or validation, of hydrological or hydraulic models;
- Data assimilation of remotely sensed data into hydrological and hydraulic models;
- Improvement of river discretization and monitoring by means of satellite based observations;
- River flows estimation by means of remote sensed observations;
- River and flood dynamics estimation from satellite (especially time lag, flow velocity, etc.)

Co-organized as NH6.19
Convener: Guy J.-P. Schumann | Co-conveners: Alessio Domeneghetti, Ben Jarihani, Angelica Tarpanelli, Jérôme Benveniste
| Tue, 09 Apr, 14:00–18:00
Room C
| Attendance Tue, 09 Apr, 10:45–12:30
Hall A

Attendance time: Tuesday, 9 April 2019, 10:45–12:30 | Hall A

Chairperson: Alessio Domeneghetti
A.231 |
Henry Taylor, Paul Bates, and Jeffrey Neal
A.232 |
Remote Sensing based GLOF hazard analysis and its impact on Turtuk Village, Leh, Western Himalaya – A dam-breach hydrodynamic modeling.
(withdrawn after no-show)
Ashim Sattar, Ajanta Goswami, and Anil V Kulkarni
A.233 |
Stefania Grimaldi, Jin Xu, Yuan Li, Valentijn R.N. Pauwels, and Jeffrey P. Walker
A.234 |
Guy J.-P. Schumann and Vanessa M. Escobar
A.235 |
Inland Water Monitoring Using Spaceborne Geodetic Sensors
Elsayed Issawy, Nico Sneeuw, Omid Elmi, Mohamed Tourian, Shirzad Roohi, Mohammed Javaid, and Haggag Mohamed
A.236 |
wei zheng
A.237 |
Remote sensing in hydrological and hydraulic modelling of ungauged basins: A case study on Brahmaputra basin
Biswa Bhattacharya, Maurizio Mazzoleni, and Reyne Ugay Reyne Ugay
A.238 |
Sebastian Palomino Angel, Jesús Adolfo Anaya Acevedo, and Fernando Jaramillo
A.239 |
Andrei Enea, Adrian Ursu, Cristian Constantin Stoleriu, Marina Iosub, and Vasile Jitariu
A.240 |
Jeff Ho, William Vu, Jean Bienvenue Dinga, Impeti N'Diaye, Sam Weber, Jean-Martin Bauer, Bessie Schwarz, Beth Tellman, Colin Doyle, and Matthias Demuzere
A.241 |
Ricardo Tavares da Costa, Paolo Mazzoli, and Stefano Bagli
A.242 |
Luděk Bureš, Petra Sychová, Štěpán Marval, Filip Urban, and Radek Roub
A.243 |
Reviewing the impact of alternative Digital Terrain Model (DTM) merge methods on 2D hydraulic models; a case study of Cairns, Australia
Iain Willis, Muhammad Rahiz, Amanda Cheong, and Luke Farmer
A.245 |
Davide Notti, Daniele Giordan, Fabiana Calò, Antonio Pepe, Francesco Zucca, and Jorge Pedro Galve
A.246 |
Jie Zhao, Marco Chini, Patrick Matgen, Renaud Hostache, Ramona Pelich, and Wolfgang Wagner
A.247 |
Bercher Nicolas, Fabry Pierre, García-Mondéjar Albert, Fernandes Joana, Gustafsson David, Restano Marco, Ambrózio Américo, and Benveniste Jérôme
A.248 |
Alexandra Van Wesemael, Lisa Landuyt, Hans Lievens, and Niko E. C. Verhoest
A.249 |
Relationship between Basin Water Index and runoff as observed with Scatterometer data
Abhilash Soni, Deen Dayal, Ashish Pandey, and Praveen Kumar Gupta
A.250 |
Jérôme Benveniste, Salvatore Dinardo, Giovanni Sabatino, Marco Restano, and Américo Ambrózio
A.251 |
Alessio Domeneghetti, Angelica Tarpanelli, Luca Grimaldi, Guy Schumann, and Armando Brath
A.252 |
Jérôme Benveniste, Per Knudsen, Roger Escolà, Albert Garcia-Mondéjar, Gorka Moyano, Mònica Roca, Miguel Terra-Homem, Ana Friacas, Ernst Schrama, Marc Naeije, Américo Ambrozio, and Marco Restano
A.253 |
Angelica Tarpanelli, Stefania Camici, Paolo Filippucci, Luca Brocca, and Tommaso Moramarco
A.255 |
Peirong Lin, Hylke Beck, Yuan Yang, Colby Fisher, Dai Yamazaki, Michael Durand, Renato Frasson, Cedric David, Tamlin Pavelsky, Colin Gleason, Konstantinos Andreadis, Eric Wood, and Ming Pan