In ungauged basin, space-based information is essential for the monitoring of 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 satellite. Surface Reflectance from the 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 present this synergistic approach to three different regions: Niger Inner delta and ...
The growing availability of multi-temporal satellite data has increased opportunities for monitoring...
This paper presents an algorithm for flood inundation mapping in the context of emergency response. ...
This paper presents algorithm for flood inundation mapping to understand seasonal and annual changes...
Over last decades, we have witnessed an upward global trend in natural disaster occurrence. Hydrolog...
Remote sensing images can be effective and efficient tools to determine flood inundation areas. In t...
Flooding is one of the most devastating natural hazards in the world and its forecast is essential i...
Floods are among the most catastrophic natural disasters around the globe impacting human lives and ...
[Departement_IRSTEA]Territoires [TR1_IRSTEA]SYNERGIE [Axe_IRSTEA]TETIS-AMOSInternational audienceWet...
Facing the impact of floods by remote sensing data requires both satellite systems able to frequentl...
The paper presents a moderate resolution imaging spectroradiometer (MODIS) time-series imagery-based...
Satellite remote sensing is a powerful tool to map flooded areas. In recent years, the availability ...
Satellite remote sensing is a powerful tool to map flooded areas. In recent years, the availability ...
This paper presents algorithm for flood inundation mapping to understand seasonal and annual changes...
Information about inundated areas is critical for distributing aid and resources in flood emergency ...
Flood forecast and mitigation actions need updated and timely information about precise location, ex...
The growing availability of multi-temporal satellite data has increased opportunities for monitoring...
This paper presents an algorithm for flood inundation mapping in the context of emergency response. ...
This paper presents algorithm for flood inundation mapping to understand seasonal and annual changes...
Over last decades, we have witnessed an upward global trend in natural disaster occurrence. Hydrolog...
Remote sensing images can be effective and efficient tools to determine flood inundation areas. In t...
Flooding is one of the most devastating natural hazards in the world and its forecast is essential i...
Floods are among the most catastrophic natural disasters around the globe impacting human lives and ...
[Departement_IRSTEA]Territoires [TR1_IRSTEA]SYNERGIE [Axe_IRSTEA]TETIS-AMOSInternational audienceWet...
Facing the impact of floods by remote sensing data requires both satellite systems able to frequentl...
The paper presents a moderate resolution imaging spectroradiometer (MODIS) time-series imagery-based...
Satellite remote sensing is a powerful tool to map flooded areas. In recent years, the availability ...
Satellite remote sensing is a powerful tool to map flooded areas. In recent years, the availability ...
This paper presents algorithm for flood inundation mapping to understand seasonal and annual changes...
Information about inundated areas is critical for distributing aid and resources in flood emergency ...
Flood forecast and mitigation actions need updated and timely information about precise location, ex...
The growing availability of multi-temporal satellite data has increased opportunities for monitoring...
This paper presents an algorithm for flood inundation mapping in the context of emergency response. ...
This paper presents algorithm for flood inundation mapping to understand seasonal and annual changes...