Monitoring Urban Floods Using Remote Sensing
Urban flooding is already a major risk for cities. Increasing impervious surface area, inadequate storm water drainage, and aging infrastructure all contribute. As a result, growing urban populations will face a greater risk of flooding from extreme weather events. This webinar series will focus on the components of urban flooding that satellite data can track:
· extreme precipitation
· waterlogged and ponded surfaces
Using satellite data allows individuals and organizations to develop better plans for handling floods. This can include developing better early warning techniques, better plans for rescue and relief, and more effective long-term infrastructure planning.
Course Date and Time: Wednesdays, July 25th and August 1st, 2018. There are 2 identical sessions provided twice per day to accommodate an international audience. 09:00-11:00 and 18:00-20:00 EDT (UTC-4)
Learning Objectives: By the end of the training, attendees will be able to:
· Describe remote sensing and Earth system model data useful for flood monitoring in urban areas
· Identify how remote sensing can aid in planning early warning systems, flood response, and flood recovery efforts
Intended Audience: This training is primarily intended for urban water and disaster managers, urban planners, emergency responders, transportation and utility providers and planners, public health professionals, and the insurance sector.
Registration: This webinar is free and open but you must register. Please only register for one of the daily sessions: You can check your local time to select your session preference
Please see the Training URL:
Monitoring Urban Floods Using Remote Sensing to register.
You may also find the radar remote sensing training useful. Radar is the "game-changer" when it comes to remote sensing because of its ability to “see” through clouds regardless of day or night conditions.
Advanced Webinar: Radar Remote Sensing for Land, Water, & Disaster Applications
A limitation of optical satellite remote sensing is that it depends on cloudless, well-illuminated areas to produce quality data. This is especially problematic for collecting data during nighttime or when there is cloud cover. Radar is an ideal sensor to study the surface of the Earth because of its ability to “see” through clouds regardless of day or night conditions. In addition, the radar signal can penetrate through the vegetation canopy and provide information about conditions underneath, such as flooding. Techniques such as interferometry can track surface deformation on the order centimeters, such as ground movement caused by earthquakes.
This webinar series builds on ARSET's previous webinar: Introduction to Synthetic Aperture Radar. The training will focus on different radar approaches and techniques including amplitude, time-series, polarimetry, and interferometry for mapping and monitoring disasters and land cover. Attendees will apply these techniques to map land cover and land use change, deforestation, flooding, crop monitoring, and surface deformation for earthquake monitoring.
Course Date and Time: Tuesdays and Thursdays, August 7, 9, 14, and 16. One session will be broadcast in Spanish (10:00-12:00 EDT, UTC-4) and one in English 18:00-20:00 EDT (UTC-4).
Learning Objectives: By the end of this training, attendees will be able to understand how to use SAR data to map deforestation, flooding, crop growth, and surface deformation as a result of an earthquake.
Intended Audience: Remote sensing users from local, regional, state, federal, and international organizations interested in using SAR for terrestrial applications such as inundation mapping, land cover land use change studies, and surface deformation for volcanic and earthquake activity.
Registration: This webinar is free and open but you must register. One session of this training will be held in Spanish and one in English. You can check your local time to select your session preference
Please see the Training URL to register: Advanced Webinar: Radar Remote Sensing for Land, Water, & Disaster Applications