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This lack of access to information is typical for the country, which has been unable to repair river and rainfall gauges destroyed in the 90s. In close collaboration with local officials, local users, and relevant government agencies, Cloud to Street designed and implemented a system to create automated flood and precipitation maps, locally optimizing global flood detection algorithms to generate satellite-based flood analysis and reports. A near real-time online dashboard and a WhatsApp group of local stakeholders provided direct communication and connected flood information with users on the ground.
The system was put to the test when 16, asylum seekers who had crossed the border to the Republic of the Congo from the Democratic Republic of Congo, sought refuge along the flood-prone banks of the Congo River.
Republic of the Congo
Days after the refugees arrived, Cloud to Street received a message from a UN official concerned that the new refugees risked facing catastrophic flooding, an event that held the potential for a humanitarian disaster. Furthermore, Cloud to Street used high resolution Planet imagery to monitor any present day flooding in the camps and found that one of the camps was already beginning to flood. See photos from Cloud to Street's work in the Republic of Congo below.
The Cloud to Street dashboard Cloud to Street would have helped us to react in a number of days to major flood situations, like the one in Impfondo in , instead of a number of weeks.
Bangladesh refugee camp
The Cloud to Street dashboard and WhatsApp group provided the infrastructure to detect and respond more quickly to floods that previously did not exist. Click on the dashboard below to begin exploring the data.
To fill major gaps in flood risk decision-making at the level of provincial and national water management agencies, Cloud to Street Cloud to Street rapidly create a comprehensive vulnerability maps and watershed analytics within the low-cost Flood Map Dashboard. The Dashboard is based on analyzing thousands of MODIS, Landsat, and Sentinel scenes and was iteratively designed with the end-user to support local decision-making. Providing a history of floodable areas with specific return times, exposed land uses and population, precipitation hyetographs, and spatial and temporal flood trends in the basin, the flood maps and risk analysis tool allows local watershed managers to quickly assess whether and how flooding in any area in the watershed is increasing or decreasing and possibly to determine the impact of specific interventions in the watershed like a dam or a new removed wetland.
After in person trainings on the data in, watersheds managers from the ADA or others can use such information for land use planning, designing and analyzing hydraulic works, identify wetlands for expropriating of public land , find floodplains of various return periods, manage their farmer tax relief program, analyze the impact of past events, prepare communities, and protect critical assets.
These trends are used to understand both the impact of past flood mitigation investments i. The program has been in existence in North Dakota since LSS settled 24 refugees in Bismarck in fiscal , after settling 22 in fiscal Dykshoorn said Burleigh County had been projected to get no more than 25 refugees annually in the coming years.
For decades, North Dakota considered any population gain a good thing. Its population declined by more than 21, between and until an oil boom sparked a rush of workers into the state.
Many jobs remain unfilled even though the state has added nearly , residents in the past decade. Though many new arrivals work in the oil patch, many are also attracted to Fargo, which has a burgeoning tech industry, and Grand Forks, which is an aviation hub. His path wound through Ethiopia and Kenya before he ended up in Fargo and later in Lincoln, a small community outside of Bismarck. Panchol said he understands the reservations that people may have about new arrivals, but he believes any fear is more politically driven than reality.
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