A5041582129- Flood Risk Assessment and Management
- Hydrology and Watershed Management Studies
- Hydrology and Drought Analysis
- Water Quality Monitoring Technologies
- Meteorological Phenomena and Simulations
- Advanced Image Fusion Techniques
- Fisheries and Aquaculture Studies
- 3D Surveying and Cultural Heritage
- Groundwater and Watershed Analysis
- Advanced Vision and Imaging
- Remote-Sensing Image Classification
- Remote Sensing and LiDAR Applications
- Remote Sensing in Agriculture
- 3D Modeling in Geospatial Applications
- Anomaly Detection Techniques and Applications
- Geophysics and Gravity Measurements
- Automated Road and Building Extraction
- Marine Bivalve and Aquaculture Studies
- Robotics and Sensor-Based Localization
- Advanced Image and Video Retrieval Techniques
Collecte Localisation Satellites (France)
2021-2024
Flood simulation and forecast capability have been greatly improved thanks to advances in data assimilation. Such an approach combines in-situ gauge measurements with numerical hydrodynamic models correct the hydraulic states reduce uncertainties model parameters. However, these methods depend strongly on availability quality of observations, thus necessitating other sources improve flood performances. Using Sentinel-1 images, a extent mapping method was carried out by applying Random Forest...
Abstract. Water resources management relies on the use of hydrometric data collected mainly from in situ stations. Despite efforts made setting up and maintaining a network meteorological stations, water resource managers face many problems, such as equipment degradation during floods, incidents vandalism issues related to inaccessibility. Satellite can improve monitoring, regardless its objectives (strategic resources, structures, forecasting floods low flows, etc.). These have advantage...
Floods are the most common natural disasters all over world and they increasing in frequency intensity due to climate changes. The Space for Climate Observatory (SCO)-FloodDAM-DT project with a joint collaboration effort between CNES, NASA's partners JPL is devoted developing federated Earth System Digital Twin (ESDT) water-cycle applications focused on flood events. In particular, SCO-FloodDAM-DT aims provide an automated pre-operational service reliably detect, monitor assess floods at...
3D Geospatial information plays a key role in many soaring sectors such as sustainable and smart cities, climate monitoring, ecological mobility, economic intelligence. The availability of huge volumes satellite, airborne insitu data now makes this production feasible at large scale. It needs nonetheless certain level manual intervention to secure the quality, which prevents mass production. This paper presents AI4GEO program that aims developing an end solution produce automatically...
As part of the Copernicus Global Land Service, Proba-V was employed for monitoring water bodies every ten days at a 300m spatial resolution. neared its life cycle end in late 2020, Sentinel-2 introduced as replacement, offering an improved resolution 100m. However, due to lower revisit rate (2-6 days), new product could only be generated on monthly basis. The Water Bodies Detection Algorithm (WBDA) involved three major steps: detection using modified Normalized Difference Index (MNDWI),...
Abstract. The availability of 3D Geospatial information is a key issue for many expanding sectors such as autonomous vehicles, business intelligence and urban planning. Its production now possible thanks to the abundance available data (Earth observation satellite constellations, insitu data, …) but manual interventions are still needed guarantee high level quality, which prevents mass production. New artificial big technologies adapted imagery can help remove these obstacles. AI4GEO project...
Abstract. Satellite Image Time Series (SITS) are becoming available at high spatial, spectral and temporal resolutions across the globe by latest remote sensing sensors. These series of images can be highly valuable when exploited classification systems to produce frequently updated accurate land cover maps. The richness spectral, spatial features in SITS is a promising source data for developing better algorithms. However, machine learning methods such as Random Forests (RF), despite their...
RÉSUMÉLa gestion des ressources en eau nécessite l’utilisation de données hydrométriques provenant principalement stations in situ. Malgré les efforts déployés pour la mise place et le maintien d’un réseau (hydrométriques ou météorologiques), gestionnaires font face à nombreux problèmes (dégradation équipements lors crues, vandalisme, inaccessibilité, moyens financiers maintenance …). Les satellitaires peuvent enrichir suivi eau, quels que soient objectifs ce (gestion stratégique ouvrages,...