In accordance with new research, emergency responders may lower prices and save time by utilizing near-actual-time satellite information together with different decision-making tools after a flooding disaster.
Within the first NASA examine to calculate the worth of utilizing satellite data in disaster scenarios, researchers in Greenbelt, Maryland, at NASA’s Goddard Space Flight Center calculated the time that would have been saved if ambulance drivers and different emergency responders had close to-real-time information about flooded roads, utilizing the 2011 Southeast Asian floods as a case research. Prepared entry to this data might have saved an average of nine minutes per emergency response and potentially millions of dollars
The Mekong River crosses more than 2,000 miles in Southeast Asia, passing by means of elements of Vietnam, Laos, Thailand, Cambodia, China, and different international locations. The river is an important supply of food and income for the roughly 60 million individuals who dwell close to it. However, it is usually one of the flood-prone areas in the world.
In earlier work, they helped develop an algorithm that estimated floodwater depth from house-based mostly observations, then combined this information with data on local, population, infrastructure, and land cover. They had used this algorithm to calculate the disaster risk for the area, contemplating the exposure for different types of land cover types and mapped where the most expensive damage occurred.
Within the present examine, the researchers investigated the worth of close to-real-time data on flooded roadways—particularly, how a lot of time might have been saved by offering satellite-based mostly flood inundation maps to emergency responders of their drive from station to destination.