Southern Sierra Nevada Critical Zone Observatory: Snow On

<p>Southern Sierra CZO Lidar flight was acquired in 2010 and consists of 2 flights - Snow on and snow off. Each flight has 6 sub-areas defined as: Bull (Area 1), Courtwright Road (Area 2), Providence (Area 3), San Joaquin Range (Area 4), Soaproot Saddle (Area 5), and Wolverton (Area 6).</p> <p>This dataset includes 1m digital surface model (filtered and unfiltered), 1m digital elevation models (filtered and unfiltered), and the raw Lidar point clouds (LAS format) in 1 km by 1 km tiles. Data acquisition, ground-truthing, vegetation surveys and processing were coordinated by Dr. Qinghua Guo and funded by NSF Award (EAR-0922307 , PI. Qinghua Guo), which aims to collect Lidar data at all CZOs, including extracting vegetation characteristics from the LIDAR point cloud data. The Southern Sierra CZO is mainly focused on how water, soils, and climate interact with processes from the subsurface to the atmosphere.</p><p><br>Publications associated with this dataset can be found at <a href="http://calm.geo.berkeley.edu/ncalm/dtc.html" target="_blank">NCALM's Data Tracking Center</a></p>

<p>南加州塞拉山区域地表观测站（CZO）的激光雷达飞行数据于2010年获取，包含两次飞行任务——积雪覆盖与积雪消失。每次飞行均划分为六个子区域，具体为：牛区（区域1）、科特赖特道路区（区域2）、普罗维登斯区（区域3）、圣何塞山脉区（区域4）、肥皂根鞍部区（区域5）以及沃尔弗顿区（区域6）。</p> <p>该数据集涵盖了1米分辨率的数字表面模型（包括过滤与未过滤版本）、1米分辨率的数字高程模型（包括过滤与未过滤版本），以及以1公里×1公里瓦片形式存储的原始激光雷达点云数据（LAS格式）。数据采集、地面验证、植被调查及处理工作由郭庆华博士负责协调，并获得了美国国家科学基金会（NSF）的资助（项目编号：EAR-0922307，项目负责人：郭庆华博士）。该资助项目旨在收集所有CZO的激光雷达数据，并从激光雷达点云数据中提取植被特征。南加州塞拉山区域CZO主要关注水、土壤和气候如何与地表以下至大气层的过程相互作用。</p><p><br>与该数据集相关的出版物可在<a href="http://calm.geo.berkeley.edu/ncalm/dtc.html" target="_blank">NCALM数据追踪中心</a>找到。</p>