Help your community by reporting floods, staff gauge readings, and taking pictures!
The monitoring and prediction of urban flooding is exceedingly difficult due to complex urban catchments. Not only do all of the man-made structures cause complexity, but the constant changes being made in an urban environment are proving to researchers that hydrologic and hydraulic modeling alone are not enough to produce accurate flood predictions, particularly at high resolutions where the processes can vary greatly in space and change very quickly in time. That’s where you come in.
iSeeFlood is a crowd sourced flood reporting app. The reports that you submit go to help improve flood models and improve emergency management. The more data we can gather the better picture we can paint of flooding in the area.
iSeeFlood is a research outcome of iSPUW, or integrative Sensing and Prediction of Urban Water for sustainable cities, a joint project among the University of Texas at Arlington, University of Michigan and University of Massachusetts Amherst. iSPUW is funded by the National Science Foundation’s CyberSEES (Cyber Innovation for Sustainability Science and Engineering) program.