November 18, 2018 - November 19, 2018
Monsoon rains can have an enormous impact in Southern Asia. While the rains can help agriculture, it can also cause extreme flooding. Satellite data can augment decision support for flood warnings, responses, relief, and mitigation activities. This two-day training covers access and use of satellite imagery and data to inform flood-related decisions. Attendees will learn to access and analyze data. This will enable attendees to track and map flooding, assess affected areas, and learn how they can integrate satellite data into their own decision-making processes.
By the end of this training, participants will be able to:
- Monitor and map flooding
- Identify affected areas and populations
- Make informed, flood-related decisions based on satellite data and imagery
Water resources and disasters managers, emergency responders, and individuals from the energy utility, transportation, and insurance sectors.
- Two-day training
- Pre-conference event for the International Society for Photogrammetry and Remote Sensing (ISPRS) Technical Commission V Symposium on "Education & Outreach - Geospatial technology – Pixel to People"
Overview of NASA Satellite Remote Sensing and Earth System Modeling for Monitoring and Mapping Precipitation, Weather Data, Land Cover, and Soil Moisture
Data Access and Analysis: Precipitation, Soil Moisture, Winds, Humidity, and Sea Level Pressure, Terrain and Socioeconomic Data (PC)
Data Access and Analysis: Precipitation, Soil Moisture, Winds, Humidity, and Sea Level Pressure, Terrain and Socioeconomic Data (MAC)
Overview of ISRO Satellite Remote Sensing for Flood Monitoring & Mapping (ISRO)
Data Access and Analysis: Hydrological Variables, Optical, SAR, Scatterometer, and Altimeter
Overview of Flood Monitoring and Mapping Based on Remote Sensing of Land Cover
Overview and Applications of Synthetic Aperture Radar (SAR)
SAR Applications for Flood Mapping
Overview of Flood Monitoring and Mapping Based on Precipitation Data
ISRO Flood Monitoring and Modeling Tools
Near Real-Time Flood Monitoring
Flood Monitoring Case Studies