Cloud to Street is the scientific authority on flood mapping and flood intelligence. Powered by satellites, machine learning, and on-the-ground observation, our Flood Intelligence Platform provides previously inaccessible data to insurance companies and governments to insure risk and inform better flood preparedness.
Our team pioneered satellite flood tracking. While traditional flood science relies on ground sensing equipment and flood models, Cloud to Street uses satellites to track floods from the sky, as they happen. We combine satellite imagery with computer vision and traditional flood data to create the most precise and actionable flood maps available, anywhere in the world.
Over $15 trillion of GDP is estimated to be at risk of flood by 2040. The only way to insure against this risk, respond to flood disasters, and help communities adapt is with exceptionally precise data. Cloud to Street’s approach to tracking floods provides a single source of truth on historical flood risk, as well as flooding as it happens.
Our flood information systems can be set-up anywhere in the world, however Cloud to Street will scope new areas of interest for “challenge zones” like extremely high terrain or built-up areas as part of our set-up process with new partners.
Our systems detect most major forms of flooding including rainfed (pluvial) to riverine (fluvial) to glacial runoff. In the real world, flooding experienced on the ground is often a combination of many types of floods all happening simultaneously (an advantage of our observed data sources). On the other hand, due to their fast-moving nature, we cannot guarantee capturing flash flooding, or floods that appear and recede in less than 24 hours.
We only require a few weeks of technical setup to monitor a given rainy season. Data can be updated as soon as one of our 15 sources of satellite inputs provide a new image in a given area—this can be within hours to days of an event.
We report estimates for population, agriculture, transport networks, and critical infrastructure exposed to flooding, along with flooded area or depth.
Our full-country monitoring maps go down to 10m resolution (block level), whereas our high resolution event maps go down to 0.5-3m resolution (building level).
We produce flood analytics ranging as far back as 1985 - present. This has supported countries to understand their actualized flood risk taking into account the changing climate and human development.
The protection gap is the difference between risk that should be insured, and risk that is insured. After a flood, it would be represented by the difference between the economic cost of the flood, and the claims paid by insurance. Cloud to Street’s technology enables deeper penetration of insurance, particularly in hard to reach areas which are most impacted by floods and represent the greatest protection gaps.
Claims can be paid within days of a flood event using Cloud to Street’s near-real-time monitoring capabilities.
