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dc.contributor.author Doane, Tyler
dc.coverage.spatial Brown County Indiana en
dc.date.accessioned 2021-09-10T22:47:34Z
dc.date.available 2021-09-10T22:47:34Z
dc.date.issued 2021
dc.identifier.uri http://hdl.handle.net/2022/26772
dc.description.abstract This is a collection of python scripts that extract data and data files that accompany a manuscript: Doane, Tyler H., Edmonds, Douglas A., Yanites, Brian J., and Quinn Lewis, (2021) 'Topographic roughness on forest floors: A theoretical approach for quantifying hillslope sediment flux from tree throw', Geophysical Research Letters. One Python script (hVarExample.py) is a code that allows for a user to calculate and extract topographic roughness from a digital elevation model (DEM). Another is a script (selectTile.py) that allows for a user to select specific pit-mound couplets and extract estimates of geometric parameters . A third script (selectTile2.py) allows for the user to toggle through selected couplets and examine the fit between an idealized couplet geometry and a natural one. Python data files (.npy) are dictionary files that contain tabular information for hillslope variance, slope, slope aspect, and size (CollectVarBrown2.npy). Another .npy file contains information on the parameters extracted from high resolution topography (rayParams.npy). A third contains the actual tiles selected that contain pit-mound couplets (rayCouplets.npy) Last, a shapefile (BrownCountyHSlopes and all extensions) is a vector or points that contains information about hillslope topographic variance, slope, slope aspect, and area. en
dc.description.sponsorship Indiana Grand Challenges: Preparing for Environmental Change en
dc.language.iso en en
dc.rights https://creativecommons.org/licenses/by/4.0/ en
dc.rights.uri https://creativecommons.org/licenses/by/4.0/ en
dc.title Topographic roughness on forest floors: A theoretical approach for quantifying hillslope sediment flux from tree throw en
dc.type Dataset en


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