Current flood mapping capabilities using synergies from radar altimetry and MODIS multi-spectral satellite imagery and the need for a SWOT mission

This page lists the DOI metadata that was entered for this dataset. You can download the dataset.

The full metadata can be seen here.

Feature
Citation
Citation Options
Identification
Title:Main Title: Current flood mapping capabilities using synergies from radar altimetry and MODIS multi-spectral satellite imagery and the need for a SWOT mission
Descriptions:Abstract: In ungauged basins, space-based information is essential for the monitoring of the hydrological water cycle, in particular in regions undergoing large flood events where satellite data may be used as input to hydrodynamic models. A method for near 3D flood monitoring has been developed which uses synergies between radar altimetry and high temporal resolution multi-spectral satellites. Surface reflectances from the Moderate Resolution Imaging Spectroradiometer (MODIS) Terra instrument are used to map areas of open water as well as aquatic vegetation on a weekly basis, while water level variations in the inundated areas are provided by the radar altimetry from the Topex/Poseidon (T/P) and Envisat satellites. We applied this synergistic approach to several regions across the world (Diamantina Floodplain in Australia, Inner Niger Delta and Lake Chad in Africa, Andean Altiplano in South America, and Ganga River Delta in Asia). Based mainly on optical and Near Infra Red (NIR) imagery for detecting the extent of inundation, this method is well adapted for arid and semi-arid regions, but less for equatorial or boreal ones due to cloud coverage. This work emphasises the limitations of current remote sensing techniques for full 3D description of water storage variability in ungauged basins, and provides a good introduction to the need and the potential use of the future Surface Water and Ocean Topography (SWOT) satellite mission.
Series Information: Proceedings on the Workshop of Remote Sensing Methods for Change Detection and Process Modelling, 18-19 November 2010, University of Cologne, Germany, Kölner Geographische Arbeiten, 92, pp. 9-23
Identifier:10.5880/TR32DB.KGA92.3 (DOI)
Related Resource:Is Part Of 0454-1294 (ISBN)
Responsible Party
Creators:Jean-Francois Cretaux (Author), Muriel Bergé-Nguyen (Author), Marc J. Leblanc (Author), Rodrigo J. Abarca Del Rio (Author), Francois Delclaux (Author), Nelly M. Mognard (Author), Christine Lion (Author), Rajnikant Pandey (Author), Sarah O. Tweed (Author), Stéphane Calmant (Author), Philippe Maisongrande (Author)
Contributors:Victoria Lenz-Wiedemann (Editor), Georg Bareth (Editor), Transregional Collaborative Research Centre 32 (Meteorological Institute, University of Bonn) (Data Manager), University of Cologne (Regional Computing Centre (RRZK)) (Hosting Institution)
Publisher:Geographisches Institut der Universität zu Köln - Kölner Geographische Arbeiten
Publication Year:2011
Topic
Subjects:Keywords: MODIS, Remote Sensing, Hydrology
File Details
Filename:Cretaux_et_al_2011_KGA92.pdf
Data Type:Text - Book Section
Sizes:4704 Kilobytes
15 Pages
File Size:4.6 MB
Dates:Created: 18.11.2010
Issued: 05.10.2011
Mime Type:application/pdf
Language:English
Constraints
Geographic
Metadata Details
Metadata Creator:Constanze Curdt
Metadata Created:05.08.2013
Metadata Last Updated:11.05.2021
Subproject:Z1
Funding Phase:2
Metadata Language:English
Metadata Version:V50
Metadata Export
Metadata Schema:
Dataset Statistics
Page Visits:472
Metadata Downloads:0
Dataset Downloads:5
Dataset Activity
Feature