Abstract:
ABSTRACT: NOAA's National Geophysical Data Center (NGDC) is building high-resolution digital elevation models (DEMs) to support individual coastal States as part of the National Tsunami Hazard Mitigation Program's (NTHMP) efforts to improve community preparedness and hazard mitigation. These integrated bathymetric-topographic DEMs are used to support tsunami and coastal inundation mapping. ... Bathymetric, topographic, and shoreline data used in DEM compilation are obtained from various sources, including NGDC, the U.S. National Ocean Service (NOS), the U.S. Geological Survey (USGS), the U.S. Army Corps of Engineers (USACE), the Federal Emergency Management Agency (FEMA), and other federal, state, and local government agencies, academic institutions, and private companies. DEMs are referenced to various vertical and horizontal datums depending on the specific modeling requirements of each State. For specific datum information on each DEM, refer to the appropriate DEM documentation. Cell sizes also vary depending on the specification required by modelers in each State, but typically range from 8/15 arc-second (~16 meters) to 8 arc-seconds (~240 meters).
CURRENTNESS REFERENCE: ground condition
SPATIAL DATA ORGANIZATION INFORMATION Direct Spatial Reference: Raster Raster Object Type: Grid Cell Row Count: 945 Column Count: 1215 Vertical Count: 1
SPATIAL REFERENCE INFORMATION - GEODETIC MODEL Horizontal Datum Name: D_WGS_1984 Ellipsoid Name: WGS_1984 Semi-major Axis: 6378137.000000 Denominator of Flattening Ratio: 298.257224
NATIVE: Microsoft Windows 2000 Version 5.2 (Build 3790) Service Pack 2; ESRI ArcCatalog 9.2.4.1420
Purpose:
PURPOSE: Developed for the University of Alaska at Fairbanks (UAF), Geophysical Institute for tsunami and coastal inundation modeling efforts for the State of Alaska.
National Snow and Ice Data Center
CIRES, 449 UCB
University of Colorado
City:
Boulder
Province or State:
CO
Postal Code:
80309-0449
Country:
USA
Publications/References
Heymsfield, G. A. and R. Fulton. 1992. Modulation of SSM/I microwave soil radiances by rainfall. Remote Sensing of Environment. 29:187-202.
Hollinger, J. P., J. L. Peirce, and G. A. Poe. 1990. SSM/I instrument evaluation. IEEE Trans. on Geoscience and Remote Sensing, 28:781-790.
Jackson, T. J. 1997. Soil moisture estimation using SSM/I satellite data over a grass land region. Water Resources Research. 33:1475-1484.
Teng, W. L., J. R. Wang, and P. C. Doraiswamy. 1993. Relationship between satellite microwave radiometric data, antecedent precipitation index, and regional soil moisture. Int. J. of Remote Sensing. 14:2483-2500.
