Yellowstone Ground Snow Cover Validation

This dataset has been used for ground truth validation of the snow inspector software (http://apps.hydroshare.org/apps/snow-inspector).
On two days, May 2 and May 9, 2015, 36 areas in the Yellowstone National Park area were visited. The snow inspector software was used to identify the MODIS satellite pixel boundaries at a 1:10,000 scale . For each location we identified between 1 and 8 pixels and estimated the percentage of snow-covered area on the ground. We selected locations with open ground, partially tree-covered ground, and ice-covered lakes. The total number of ground validation pixels was: 102 pixels on May 2, 2015, and 82 pixels on May 9, 2015 (total 184 pixels). Out of the total 184 pixels, Twenty-eight pixels were inspected both on May 2 and on May 9. The attached csv file has the following fields: Location (name of the location), PIXEL_X and PIXEL_Y (satellite pixel identifier), PIXEL, pixel number at the location, X1.May (satellite snow cover percentage on 1st May 2015), X2.May (satellite snow cover percentage on 2nd May 2015), MillerLo (low -bound estimate of snow cover percentage from ground observation), MillerHi (high estimate of snow cover percentage from ground observation), Landcover (type of land cover), Latitude, Longitude (latitude and longitude are in WGS 1984 in decimal degrees).

本数据集已被应用于雪况检测软件（http://apps.hydroshare.org/apps/snow-inspector）的地面真值验证。在2015年5月2日及5月9日两天，对黄石国家公园区域内的36个区域进行了实地考察。使用雪况检测软件，以1:10,000的比例尺识别了MODIS卫星像元的边界。对于每个地点，我们识别了1至8个像元，并估算出地面雪覆盖面积百分比。选取了地面开阔、部分树木覆盖以及冰面覆盖的湖泊等地点。地面验证像元总数为：2015年5月2日102个像元，2015年5月9日82个像元（总计184个像元）。在总计的184个像元中，有28个像元在5月2日和5月9日两天均进行了检查。所附的csv文件包含以下字段：位置（地点名称）、PIXEL_X和PIXEL_Y（卫星像元标识符）、PIXEL（地点处的像元编号）、X1.May（2015年5月1日的卫星雪覆盖百分比）、X2.May（2015年5月2日的卫星雪覆盖百分比）、MillerLo（地面观测雪覆盖百分比的低限估计）、MillerHi（地面观测雪覆盖百分比的高限估计）、Landcover（土地覆盖类型）、纬度、经度（纬度和经度以WGS 1984坐标系统的小数度为单位）。