Cloud to Street
Model & Strategy
Cloud to Street is a flood-mapping and monitoring system designed to protect the most vulnerable communities from natural disasters. Cloud to Street’s industry-leading, high-resolution mapping of flood-prone areas is used by planners, insurers and disaster response agencies to better understand and price flood risk, insure vulnerable populations, prepare for floods, and respond to flood events in near real-time. By leveraging machine learning, satellite imagery, crowd-sourced data, and new data platforms like Google Earth Engine, their technology platform can dynamically map the 100-year floodplain for any community around the world within seconds
Cloud to Street is led by co-founders Bessie Schwarz, CEO, and Beth Tellman, Chief of Science, who met as Masters students at Yale University’s School of Environmental Sciences and Forestry, where Cloud to Street started as their thesis research. Beth previously worked as a scientist at the Nature Conservancy and on disaster relief and resilience in El Salvador on a Fulbright Scholarship, where she co-founded a local non-profit, Ceiba Foundation, focused on conservation and post-disaster reconstruction. Beth is currently completing her Ph.D. at Arizona State University studying human-flood interactions globally, with an emphasis on Latin American cities. Bessie previously worked as a community organizer and director at organizations including Green Corps, Environment America, and Environment Colorado, and serves as a research affiliate at The Data Pop Alliance.
Impact
So far, Cloud to Street has identified 5 million people at risk in 7 countries. Within 5 years, they plan to power catastrophe insurance for 10 million people and to provide risk data to the majority of the world’s 100 most vulnerable watersheds.
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Welcome to the team Max Goodman! When he's not improving data quality, reliability, and scalability as Junior Remot… https://t.co/zOMmbcQ5na
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Welcome platform engineer @coleerickson to the Cloud to Street team! In his free time, Cole enjoys running, biking,… https://t.co/AJyQakee9S
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RT @pazjusticiavida: new @Cloud2Street paper and dataset to improve CNNs for flood mapping #openaccess paper here: https://t.co/QSfQufLkn4…
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Happening now: A virtual discussion with @IDEOorg and @NADMOGHANA on how design-thinking can strengthen tech for go… https://t.co/rMMouHWbgP
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RT @MillerSocent: How can design thinking be used in implementing tech relevant to gov't decision-making? In this virtual discussion by @Cl…
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How can design-thinking strengthen tech for government decision-making? Join our Resiliency Round Table with… https://t.co/XJx3SHOa4n
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Welcome Software and Data Engineer Veda Sunkara to the Cloud to Street team! Veda is passionate about developing co… https://t.co/dMiHp2M6KV
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RT @SatelliteTyler: @Cloud2Street Comparing to previous imagery and you can see exactly how much the of the reservoir drained and the downs…
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#Satellite imagery from Landsat 8 captures the extent of flooding in #Michigan caused by the #MidlandDam failure
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Excited to announce our Resiliency Round Table series! Over the course of several months, we're hosting virtual pa… https://t.co/EycFEmAoyH
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New in @RemoteSens_MDPI: our Senior Remote Sensing Scientist Dr. Jiayong Liang proposes a new method for estimating… https://t.co/0xmhM0sx9x
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It’s been a year since cities along the Mississippi were hit with near-historic flooding. We analyzed #Sentinel2 da… https://t.co/xPRDP95trb
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RT @ADBWater: Happening Now: “Improving Flood Risk Management with Satellite-Based Flood Maps” with @Cloud2Street’s Bessie Schwarz and Coli…
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RT @ijournal: Willis Research Network Partners with ‘Cloud to Street’ to Raise Flood Resilience https://t.co/5hOYnDwOma
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Proud to announce that we’ve partnered with @Willis_Re to expand our work in flood #insurance. Together we’re le… https://t.co/eWS3B4nSNt
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RT @Willis_Re: The Willis Research Network (WRN) announces a new partnership with @Cloud2Street, a global flood-mapping and monitoring plat…