CYGNSS FLOOD APPLICATIONS TO SUPPORT THE UNITED NATIONS SUSTAINABLE DEVELOPMENT GOALS
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http://dataverse.jpl.nasa.gov/citation?persistentId=doi:10.48577/jpl.SPJDNV
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资源简介：
As climate change-induced global flooding increases in both frequency and magnitude, having accurate and timely flood maps becomes essential for humanitarian and future flood mitigation efforts. The Dartmouth Flood Observatory (DFO) aids humanitarian organizations and inundation observation research efforts through its archive of historical flood events extending back through 1985, as well as by providing current daily flood maps derived from a combination of observations, and also precipitation-based modeling products. Both could benefit from the addition of microwave observations that penetrate through clouds, rain, and vegetation, such as GNSS-R data now becoming available on a daily basis. In this work, we discuss a current collaboration to combine CYGNSS data with operational MODIS flood maps and evaluate the expected benefits for an example scenario over the recent anomalous flooding in South Sudan.
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Root
创建时间：
2023-01-15
