five

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

收藏
DataCite Commons2020-09-03 更新2024-07-25 收录
下载链接:
https://figshare.com/articles/dataset/Smoothed_lidar-derived_bare-earth_DEM_and_gradient_geotiffs_Little_Lake_OR_USA/3545114
下载链接
链接失效反馈
官方服务:
资源简介:
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). For 3D interactive viewing of the DEM at high resolution, we suggest downloading the free QTReader. 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 &lt;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]. Data projection is NAD1983/UTM Zone 10.<br> 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. Wood, J. (1996), The geomorphological characterisation of digital elevation models, PhD dissertation, Univ. of Leicester, U. K.
提供机构:
figshare
创建时间:
2016-08-11
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作