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Cloud to Street is the leading platform for monitoring, mapping, and analyzing floods and flood risk around the world. National governments and insurers in 20 countries have relied on our tools to respond to disasters faster and reduce risks long-term. 
Using Socio-Demographic Data to Re-Center Flood Resilience Efforts
In a new co-authored, and open-access paper published in the MDPI Sustainability journal, our co-founders, Dr. Beth Tellman and Bessie Schwarz, conducted a nationwide analysis on how socio-demographics dictate the extremity of flood fatalities and property damage.

They found that if a large flood hit the entire US at the same time, the counties that would undergo the worst relative flood damage have higher proportions of African-American, Native American, and Hispanic populations that are below the poverty line. 
Predicted flood fatalities and property damage in communities across the US.
There is a long list of outside factors that contribute to the disproportionate impact of flood damage. Increased flood exposure due to more accessible housing available in floodplains. Systematic underinvestment in flood mitigation structures. Institutional racism and bias that has left many Native American communities off FEMA flood maps and, in turn, without flood insurance.

As climate change accelerates, climate-vulnerable communities will only be at higher risk. With a better understanding of the relationship between socio-demographics and flood impacts, we can start to address gaps in protection — beginning with re-centering the most at-risk populations when shaping policy, reform, and protections.

The full academic journal article and research is by co-authors Dr. Beth Tellman (Cloud to Street, Columbia University), Dr. Cody Schank (Dell EMC), Dr. Peter Howe (Utah State University) Dr, Alex de Sherbinin (Columbia University), and Bessie Schwarz (Cloud to Street). 
Bessie Schwarz Named 2020 We Empower Awardee
We're thrilled to announce that our CEO and co-founder, Bessie Schwarz, was one of six women entrepreneurs from around the world to be named a 2020 WE Empower Awardee. Bessie was recognized her work in advancing the UN Sustainable Development Goals through Cloud to Street.

You can read more about the We Empower awards and this year's awardees here.  
We're Hiring! Join our growing team. 
Senior Remote Sensing Scientist with radar expertise to lead algorithm development for flood detection with high-resolution imaging radar and passive microwave sensors.

Full Stack Developer to build software and tools that will support decision-makers around the world respond to catastrophic flooding.  

Research Scientist with a Machine Learning and Remote Sensing Data Assimilation focus to lead innovation to downscale passive microwave sensors using radar and optical high-resolution flood maps.

Machine Learning and Computer Vision Scientist to build tools for turning satellite data into actionable insights. 
Apply Now
Dr. Jiayong Liang is Published in Remote Sensing Journal 
Congratulations to our Senior Remote Sensing Scientist, Dr. Jiayong Liang for her recent publication in Remote Sensing. Her article, "Estimating Daily Inundation
Probability Using Remote Sensing, Riverine Flood, and Storm Surge Models: A Case of Hurricane Harvey," proposes a fusion-based method for better understanding flooding. Read it here
Midland, Michigan Floods After Dam Failures
In late spring, two dams in Midland County, Michigan failed, leading to the evacuation of over 10,000 residents, amplifying their vulnerability to the COVID-19 pandemic. The dams, Edenville and Sanford, breached after heavy rainfall. Our remote sensing team fused Sentinel-1, Sentinel-2, Planet and Landsat data to map the extent of the flooding, pictured above. 
Welcome our new team members
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Cloud to Street · 4938 McConnell Ave · Los Angeles, CA 90066-6714 · USA

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