Raw files from flight RU_BP_TR2_FL011R 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.本数据集包含飞行任务RU_ALN_TR1_FL007R的原始文件。2018至2019年间，研究团队借助无人航空飞行器（uncrewed aerial vehicles），在西伯利亚东北部落叶松林的多组火场边缘采集了遥感影像。本次影像采集采用可见光传感器（visible sensors，覆盖蓝、绿、红波段）与多光谱传感器（multispectral sensors，覆盖绿、红、红边与近红外波段）。数据采集方向垂直于火场边界，旨在表征火烧与未火烧森林间的植被组成与结构差异，以及植被特征随距未烧森林边缘距离的变化规律。所得影像与本项目配套采集的生态系统属性野外观测数据实现了空间配准，相关野外观测数据集已由Alexander等人（2018）发布于关联数据集。Heather Alexander、Jennie DeMarco、Rebecca Hewitt、Jeremy Lichstein、Michael Loranty等，2018。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。