Lidar digital elevation models and topographic change detection results from burned and unburned plots in the Sevilleta LTER.

These data were generated as part of a research project focused on
montiroing sediment flux in dryland ecosystems following wildfire.
In six separate small plots, three burned and three unburned, we
conducted light detection and ranging (lidar) topographic surveys in
2016, 2017, and 2018 to document elevation changes and the volume of
sediment deposition and erosion. At the down-wind edge of each plot,
we used sediment catchers to trap sediment exiting the plots and
thus estimate erosion volumes using in-situ equipment, which
provided a secondary measurement of sediment efflux from all sites
in addition to the lidar data. We used the geomorphic change
detection software (https://gcd.riverscapes.xyz/) to produce maps of
topographic change from the lidar digital elevation models for the
2016-2017 and 2017-2018 periods at all plots, burned and unburned.
Results from this project may aid in understanding post-fire
transport of sediment and nutrients from drylands following
wildfire.

本数据集为一项聚焦野火后旱地生态系统沉积物通量监测的研究项目所生成。
我们在6个独立小型样地（3个火烧样地、3个未火烧样地）中，于2016、2017及2018年开展了激光雷达（light detection and ranging, LiDAR）地形测量，以记录高程变化与沉积物沉积、侵蚀体积。
在每个样地的下风边缘，我们使用沉积物收集器截留流出样地的沉积物，借此借助原位设备估算侵蚀体积；该方法可为所有样点提供除激光雷达数据之外的沉积物输出量二次测量结果。
我们借助地貌变化检测软件（https://gcd.riverscapes.xyz/），基于激光雷达数字高程模型（digital elevation models, DEM），为所有火烧与未火烧样地生成了2016-2017年及2017-2018年的地形变化图。
本项目的研究结果有助于理解野火后旱地生态系统中沉积物与养分的运移规律。