Raw files from flight RU_ANS_TR2_FL005B of the uncrewed aerial vehicle remote sensing imagery of postfire vegetation in Siberian larch forests 2018-2019

This data set contains the raw files from flight RU_ALN_TR1_FL007R. The remote sensing imagery is collected using uncrewed aerial vehicles at a series of fire perimeters in larch forests located in northeastern Siberia in 2018 and 2019. Images were collected using visible sensors (blue, green, and red wavelengths) and multispectral sensors (green, red, red-edge, and near-infrared wavelengths). The data were collected perpendicular to fire perimeter boundaries in order to characterize variation vegetation composition and structure between burned and burned forests, and as a function of distance from the unburned forest edge. The resulting images are co-located with field observations of ecosystem properties collected as part of this project that are posted in a related data set (Alexander et al, 2018). Heather Alexander, Jennie DeMarco, Rebecca Hewitt, Jeremy Lichstein, Michael Loranty, et al. 2018. Fire influences on forest recovery and associated climate feedbacks in Siberian Larch Forests, Russia, June-July 2018. Arctic Data Center. urn:uuid:a5de1514-78d3-449f-aad1-2ff8f8d0fb27.

本数据集包含航班RU_ALN_TR1_FL007R采集的原始文件。
其遥感影像采集于2018至2019年间，由无人机（uncrewed aerial vehicles）于西伯利亚东北部的多片西伯利亚落叶松林火灾边界区域获取。
影像采集采用了可见光传感器（覆盖蓝、绿、红波段）与多光谱传感器（覆盖绿、红、红边及近红外波段），采集方向垂直于火灾边界，旨在表征过火与未过火森林间的植被组成与结构差异，以及该差异随距未燃林缘距离的变化规律。
所获影像与本项目中采集的生态系统属性野外观测数据空间配准一致，该观测数据已上传至关联数据集（Alexander等人，2018）。
希瑟·亚历山大、珍妮·德马科、丽贝卡·休伊特、杰里米·利奇斯坦、迈克尔·洛兰蒂等，2018年。俄罗斯西伯利亚落叶松林火灾对森林恢复及相关气候反馈的影响，2018年6-7月。北极数据中心。URN:UUID:a5de1514-78d3-449f-aad1-2ff8f8d0fb27。