Snow Spotter Canopy-Snow Interception Dataset #1
收藏资源简介：
This dataset was used in a manuscript titled "<em>Evaluating multiple canopy-snow unloading parameterizations in SUMMA with time-lapse photography characterized by citizen scientists</em>" submitted to AGU WRR by the corresponding first-author, Cassie A. Lumbrazo (lumbraca@uw.edu). <br> An excerpt from the manuscript is provided below. Please see the published manuscript for the full dataset summary and the dataset ReadMe file for information on the dataset structure. Time-lapse images from high-resolution digital cameras were collected from the PhenoCam Network (Milliman et al., 2018), the 2017 NASA SnowEx Field Campaign (Currier et al., 2019; Kim et al., 2017), and the Olympic Mountain Experiment (OLYMPEX) ground validation campaign (Currier et al., 2017; Houze et al., 2017; Lundquist et al., 2018). These images were then uploaded to a citizen science platform called Zooniverse (<em>Zooniverse.org</em>) and classified by thousands of volunteers as part of the <em>Snow Spotter</em> project. The goal of Snow Spotter was to mobilize citizen scientists to collect information about canopy interception. A total of 6,700 volunteer citizen scientists responded to questions about 13,600 images from sites across the United States to create this first canopy-snow interception Snow Spotter dataset.
