Smoothed lidar-derived bare-earth DEM and gradient geotiffs, Little Lake, OR, USA

<p>Digital elevation model (e11.tif) and gradient (g11.tif) geotiffs generated from clipped, smoothed bare earth lidar data collected by NCALM as part of a seed grant to C. Cerovksi-Darriau.  The original data can be found on the Open Topography website (see DOI in the reference link).</p> <p>For 3D interactive viewing of the DEM at high resolution, we suggest downloading the free QTReader. </p> <p>The lidar data required smoothing of the 1 m x 1 m gridded bare earth data set. Noise in the bare earth data arises from two sources: (1) errors in point classification and (2) natural topographic roughness associated with tree throw pit and mounds, animal mounds, sediment piles, and large woody debris jams. In the Oregon Coast Range the topographic signature of pit and mound features from tree turnover dominates at length scales <7.5 m [Roering et al.,2010]. Thus, we smoothed the topography with a 2-D, second-order polynomial applied to a 10 m x 10 m moving window [Wood, 1996].</p> <p>Data projection is NAD1983/UTM Zone 10.</p><p><br></p> <p>Roering, J.J., Marshall, J., Booth, A.M., Mort, M. and Jin, Q., 2010. Evidence for biotic controls on topography and soil production. <i>Earth and Planetary Science Letters</i>, <i>298</i>(1), pp.183-190.</p> <p>Wood, J. (1996), The geomorphological characterisation of digital elevation models, PhD dissertation, Univ. of Leicester, U. K.</p> <p> </p> <p> </p> <p> </p> <p> </p

Rabbit Mountain Soil Data

This dataset includes the supplementary information spreadsheet submitted by Brooke D. Hunter, Joshua J. Roering, Lucas C.R. Silva, and Kimber C. Moreland as part of the manuscript titled "Geomorphic controls on the abundance and persistence of soil organic carbon pools in erosional landscapes". They contain soil sample depths, total organic carbon % values and separated mineral associated and particulate OC% values.</p