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NEON AIRBORNE OBSERVATION PLATFORM TEST FLIGHTS: VALIDATION OF AIRBORNE LIDAR AND HYPERSPECTRAL DATA

机译:霓虹灯机载平台测试航班:验证机载激光器和高光谱数据

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The National Ecological Observatory Network (NEON) is a continental-scale research platform that will collect information on ecosystems across the United States to advance our ability to forecast environmental change at the continental-scale. The Airborne Observation Platform (AOP) will fly an instrument suite consisting of a visible-to-shortwave infrared imaging spectrometer, a full waveform light detection and ranging (LiDAR), and a high-resolution digital camera. NEON AOP will focus on several of the terrestrial Essential Climate Variables (ECV) (Stitt, 2011) including bioclimate, biodiversity, biogeochemistry, and land use products. These variables are collected throughout a network of 60 sites across the Continental United States, Alaska, Hawaii, and Puerto Rico via ground-based and airborne measurements. A series of AOP test flights were conducted during the first year of NEON construction with the goal of testing instrument functionality and performance, exercising remote sensing collection protocols, and providing data for algorithm and product validation. These test flights were designed to address the following questions: What is the optimal remote sensing data collection protocol to meet NEON science requirements?; How do aircraft altitude, spatial sampling, spatial resolution, and LiDAR instrument configuration affect data retrievals?; What are appropriate algorithms to derive ECVs from AOP data?; and What methodology should be followed to validate AOP remote sensing products and how should ground truth data be collected? Early test flights around Grand Junction, CO and Ivanpah, CA in May 2012 were focused on radiometric and geometric calibration as well as processing from raw data (Level 0) to corrected (Level 1) products. Next, flights were conducted in the Northeastern U.S. at Harvard Forest in August 2012 with a focus on vegetation chemistry and structure measurements. Vegetation field sampling measurements were performed in coordination with the test flights, including ground LiDAR measurements to validate the airborne LiDAR instrument. An overview of the test flights and ground campaign is provided. Data from the campaign will be available to the science community once processed.
机译:国家生态观测站网络(NEON)是一个大陆尺度的研究平台,将收集美国各地的生态系统信息,以推动我们的预测在大陆尺度的环境变化的能力。机载展望台(AOP)将飞行仪器套件由可见光至短波红外成像光谱仪,全波形光检测和测距(LIDAR),和高分辨率数码相机。 NEON AOP将集中在几个地面基本气候变量(ECV)(斯蒂特,2011),包括生物气候,生物多样性,生物地球化学和土地利用的产品。这些变量在通过地面和空中测量横跨美国大陆,阿拉斯加,夏威夷和波多黎各的60个站点的网搜集整理。一系列的AOP测试飞行期间NEON建设的第一年与测试仪器的功能和性能,锻炼遥感采集协议,并提供算法和产品验证数据的目标进行的。这些飞行试验旨在解决以下几个问题:什么是最佳的遥感数据收集协议,以满足NEON科学要求?;如何做飞机高度,空间采样,空间分辨率和激光仪器的配置会影响数据检索?;什么是适当的算法从AOP数据派生的ECV ?;什么方法应遵循以验证AOP遥感产品,应该如何地面数据收集?周围大章克兴,CO和伊万帕,CA的早期试验飞行2012年5月都集中在辐射和几何校准以及从原始数据(级别0)到校正处理(第1级)的产品。接下来,航班在美国东北部哈佛森林在2012年8月,重点对植被的化学和结构的测量进行。协同测试航班进行植被场取样测量,包括地面激光雷达的测量,以验证机载激光雷达仪器。提供了试验飞行和地面活动的概述。从广告系列的数据提供给科学界曾经处理。

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