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  2. Upper Midwest Environmental Sciences Center (UMESC)
  3. Upper Midwest Environmental Sciences Center Data
  4. Upper Mississippi River System
  5. Elevation, Water Depth, & Floodplain Inundation
  6. Upper Mississippi River System Topobathy
  7. UMRR Pool 20 Topobathy

UMRR Pool 20 Topobathy

Dates

Publication Date
Start Date
1999
End Date
2010

Citation

U.S. Army Corps of Engineers’ Upper Mississippi River Restoration (UMRR) Program Long Term Resource Monitoring (LTRM) element. 2016, UMRR Upper Mississippi RIver System Topobathy: U.S. Geological Survey data release, https://doi.org/10.5066/F7057CZ3.

Summary

Separate data for floodplain elevation and bathymetry were collected on the Upper Mississippi River System (UMRS) by the US Army Corps of Engineers (USACE), Upper Mississippi River Restoration (UMRR) program. While many information needs can be met by using these data separately, in many cases seamless elevation data across the river and its floodplain are needed. This seamless elevation surface was generated by merging lidar (i.e., floodplain elevation) and bathymetry data. Merging the data required special processing in the areas of transition between the two sources of data.

Contacts

Point of Contact :
James Rogala
Metadata Contact :
Jayme M Stone
Distributor :
U.S. Geological Survey - ScienceBase

Attached Files

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tb20.tif.xml
Original FGDC Metadata
View 		13.57 KB application/fgdc+xml
UMRRlogo_tag_rgb300px.png thumbnail 19.51 KB image/png
Extension: tb20.zip
tb20.tif.xml
Original FGDC Metadata
View 		13.57 KB
tb20.tfw 90 Bytes
tb20.tif 284.51 MB
tb20.tif-ColorRamp.SLD 2.07 KB

Purpose

A seamless elevation dataset provides the opportunity for a variety of modeling efforts that traverse the aquatic/non-aquatic transition areas. Examples of such modeling include physical models that route river flow at various discharges, and biological models that predict species occurrence for species that utilize the transitional areas (e.g., emergent vegetation). The merging of the bathymetry and lidar also assured the best interpolation in near-shore aquatic areas that often lacked bathymetry data due to shallow conditions during surveys.
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  • Upper Midwest Environmental Sciences Center (UMESC)

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