Camp Swift Fire Experiment 2014: Active fire unmanned aerial vehicle (UAV) infrared aerial imagery and video
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https://figshare.com/articles/dataset/Camp_Swift_Fire_Experiment_2014_Active_fire_unmanned_aerial_vehicle_UAV_infrared_aerial_imagery_and_video/27007981
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This data publication contains active-fire infrared (IR) videos and georeferenced individual video frames collected as part of a prescribed fire research campaign conducted at the Camp Swift Military Base in Bastrop County, Texas on January 15, 2014. The Camp Swift Fire Experiment 2014 consisted of three fires ignited in burn blocks of dimensions 100 meters (m) by 100 m on January 15, 2014. Fires were ignited on relatively flat areas of grass vegetation in moderate winds. Unmanned aerial vehicle EO active-fire video was recorded during each of the three fires. The video and image stills contained within this data package were collected with a Cloud Cap Goodrich TASE200 Electro-Optical(EO)/IR unit mounted on a MLB Company SuperBat III unmanned aerial vehicle (UAV). All active-fire videos where collected at an oblique angle. Still images from the active-fire video were exported and georeferenced using a set of ground-control points around each burn block.
The objective of the research burns was to create a dataset comprised of ground based and remote sensing measurements. This dataset represents active-fire aerial imagery and videos of the burn block areas acquired with an infrared (IR) sensor mounted on an unmanned aerial vehicle (UAV). The data contained with this package was collected to assess the possibility of recording active-fire information using video recorded in the infrared (IR) spectrum. Active-fire imagery was also acquired at Camp Swift to assess the ability of the sensors to provide a better interpretation of ground measurements. For example, if it is not known if a particular set of instruments were in flanking versus heading versus merging fire lines, it is uncertain how to use the measured data for validation since the predicted global behavior might be wrong.
A summary of the Camp Swift project can be found in the full data download (\Supplements\ CampSwiftFireExperiment2014_Project_Overview.pdf). A United States Forest Service ArcGIS Online interactive website is also developed to describe the study and examine the integrated data quality for the Camp Swift effort (see cross reference below). Finally, a document detailing the procedures used to set up the burn blocks can be found in the full data download (\Supplements\CampSwiftFireExperiment2014_BurnBlockDesign.pdf).
本数据集发布内容包含2014年1月15日于美国得克萨斯州巴斯托普县斯威夫特营军事基地开展的受控火烧(prescribed fire)研究项目中采集的火情红外(infrared, IR)视频与经地理配准的单帧视频图像。2014年斯威夫特营火烧试验于当日在3块尺寸为100米×100米的火烧区块内分别引燃野火,野火均布设于风速适中的平坦草本植被区域。三场野火的火情光电(Electro-Optical, EO)视频均由无人机(unmanned aerial vehicle, UAV)录制采集。本数据包内的视频与静态图像均由搭载于MLB公司SuperBat III型无人机上的Cloud Cap Goodrich TASE200型光电(EO)/红外(IR)传感单元采集获得,所有火情视频均采用斜角拍摄方式。从火情视频中导出的静态图像均通过各火烧区块周边的地面控制点完成地理配准。
本次受控火烧研究的核心目标是构建一套涵盖地面观测与遥感测量数据的数据集。本数据集涵盖搭载于无人机的红外(IR)传感器采集得到的火烧区块火情航空影像与视频。本数据包内的数据旨在评估利用红外光谱视频记录火情信息的可行性,同时斯威夫特营采集的火情影像也用于验证传感器能否更好地解译地面观测数据。例如,当无法确定某组观测仪器处于火线侧翼、正向蔓延还是交汇状态时,由于全局行为预测可能存在偏差,将难以确定如何利用实测数据开展验证工作。
斯威夫特营项目的概述文档可在完整数据下载包的SupplementsCampSwiftFireExperiment2014_Project_Overview.pdf文件中获取。美国林务局还开发了ArcGIS在线交互式网站,用于介绍本研究并评估斯威夫特营试验的集成数据质量(详见下文交叉引用)。最后,关于火烧区块布设流程的详细说明可在完整数据下载包的SupplementsCampSwiftFireExperiment2014_BurnBlockDesign.pdf文件中查阅。
创建时间:
2018-01-02



