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Data validating computation of boundary roughness from QL2 lidar derived digital elevation models for 2D hydraulic modeling applications--Supplemental Table 1

Dates

Publication Date
Start Date
2016-04-21
End Date
2016-05-05

Citation

Witt III, E.C., Goodrich, D.C., and Sturtevant, Luke, 2017, Data validating computation of boundary roughness from QL2 lidar derived digital elevation models for 2D hydraulic modeling applications: U.S. Geological Survey data release, https://doi.org/10.5066/F70G3H9T.

Summary

The data described in this metadata record are no longer available. Please see the process steps for more details. Calibration of hydraulic models require careful selection of input parameters to provide the best possible modeling outcome. Currently the selection of hydraulic resistance or 'n' values for these models is a subjective process potentially exposing models to critical review . A process is needed to objectively estimate n-values so everyone responsible for model calibration arrives at the same answer. Use of standard elevation products can support this effort. This dataset is presented as supplemental information for a journal article describing the process of using the root mean square average of elevation standard deviation [...]

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Purpose

These data support the interpretation presented in journal article "Estimating boundary roughness for hydraulic modeling in forested floodplains using publicly available lidar and its derived products." Data were collected to validate a single QL2 lidar dataset to determine if it could be used to estimate boundary roughness where there is heavy forest canopy obstructing the floodplain of a watershed.
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  • USGS Data Release Products

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