20200515 14513300 1.0 TRUE Depth of water raster for Lower Saint John River flood event of 2008. Created using Hydro-Enhanced LiDAR DEMs of 83 sections of the river. Levels for each was obtained from NBELG Hydrology Centres 1-D HEC RAS Model. Flood Saint John River 2008 New Brunswic Depth of water raster for Lower Saint John River flood event of 2008. Created using Hydro-Enhanced LiDAR DEMs of 83 sections of the river. Levels for each was obtained from NBELG Hydrology Centres 1-D HEC RAS Model. NBELG No liability assumed DW_LSJR_2008 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