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100-Year Floodwater Depth Model of Arkansas

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DataCite Commons2024-11-15 更新2025-04-15 收录
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<b>100-Year Floodwater Depth Model of Arkansas</b> <br><br> Floodwater depths across Arkansas modeled using the Google Earth Engine (GEE; Gorelick et al. 2017) implementation of the Floodwater Depth Estimation Tool (FwDET-GEE; Peter et al. 2020). FwDET was developed by Cohen et al. (2019) and uses an elevation model and flood boundary data to create a continuous flood depth surface. NASADEM and EnviroAtlas were used as inputs here (NASA JPL 2020; Woznicki et al. 2019). An associated manuscript on the spatial relationship between floods and socioeconomic characteristics is currently in preparation (Peter et al. forthcoming). Support provided by Arkansas NSF EPSCoR Track 1 (OIA-1946391). <br><br> • Peter, B. G., Unger, A., Hamidi, E., Morris, C., Cohen, S., and Huang, X. (in preparation, expected 2025). Floods and Socioeconomic Vulnerability Across Arkansas: A Geospatial Cyberinfrastructure. <br><br> <b>FwDET and FwDET-GEE</b> <br> • Cohen, S., Raney, A., Munasinghe, D., Loftis, J.D., Molthan, A., Bell, J., Rogers, L., Galantowicz, J., Brakenridge, G.R., Kettner, A.J. and Huang, Y.F., 2019. The Floodwater Depth Estimation Tool (FwDET v2. 0) for improved remote sensing analysis of coastal flooding. <i>Natural Hazards and Earth System Sciences</i>, 19(9), pp.2053-2065. <br> • Peter, B.G., Cohen, S., Lucey, R., Munasinghe, D., Raney, A. and Brakenridge, G.R., 2020. Google Earth engine implementation of the floodwater depth estimation tool (FwDET-GEE) for rapid and large scale flood analysis. <i>IEEE Geoscience and Remote Sensing Letters</i>, 19, pp.1-5. <br><br> <b>Other references</b> <br> • Woznicki, S.A., Baynes, J., Panlasigui, S., Mehaffey, M. and Neale, A., 2019. Development of a spatially complete floodplain map of the conterminous United States using random forest. <i>Science of the Total Environment</i>, 647, pp.942-953. <br> • NASA JPL (2020). NASADEM Merged DEM Global 1 arc second V001 [Data set]. NASA EOSDIS Land Processes Distributed Active Archive Center. Accessed 2024-11-15 from https://doi.org/10.5067/MEaSUREs/NASADEM/NASADEM_HGT.001 <br> • Gorelick, N., Hancher, M., Dixon, M., Ilyushchenko, S., Thau, D. and Moore, R., 2017. Google Earth Engine: Planetary-scale geospatial analysis for everyone. <i>Remote Sensing of Environment</i>, 202, pp.18-27.
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2024-11-15
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