Remote Sensing Data Before and After California Rim and King Forest Fires, 2010-2015

This data set provides high-resolution surface reflectance, thermal imagery, burn severity metrics, and LiDAR-derived structural measures of forested areas in the Sierra Nevada Mountains, California, USA, collected before and after the August 2013 Rim and September 2014 King mega forest fires. Pre-fire data were paired with post-fire collections to assess pre- and post-fire landscape characteristics and fire severity. Field estimates of fire severity were collected to compare with derived remote sensing indices. Reflectance measurements for the spectroscopic AVIRIS and MASTER sensors are distributed as multi-band geotiffs for each megafire and acquisition date. Derived operational metric products for each sensor are provided in individual GeoTIFFs. GeoTIFFs produced from LiDAR point data depict first order topographic indices and summary statistics of vertical vegetation structure.

本数据集提供了美国加利福尼亚州锡拉丘亚山脉森林区域在2013年8月Rim森林大火和2014年9月King超级森林大火前后采集的高分辨率地表反射率、热成像、火灾严重程度指标以及激光雷达衍生的结构度量。火灾前数据与火灾后收集的数据配对，以评估火灾前后的景观特征和火灾严重程度。收集了火灾严重程度的现场估计值，以与派生的遥感指数进行比较。光谱AVIRIS和MASTER传感器的反射率测量值以多波段地理标签图像文件形式分发，每个超级森林大火和采集日期分别对应。每个传感器的派生操作指标产品以单独的地理标签图像文件形式提供。由激光雷达点数据生成的地理标签图像描绘了一阶地形指数和垂直植被结构的汇总统计信息。