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Below-Cloud Atmospheric Correction of Airborne Hyperspectral Imagery Using Simultaneous Solar Spectral Irradiance Observations
IEEE Transactions on Geoscience and Remote Sensing ( IF 8.2 ) Pub Date : 2021-02-01 , DOI: 10.1109/tgrs.2020.3003209
Logan A. Wright , Bruce C. Kindel , Peter Pilewskie , Nathan P. Leisso , Thomas U. Kampe , K. Sebastian Schmidt

Retrieving surface properties from airborne hyperspectral imagery requires the use of an atmospheric correction model to compensate for atmospheric scattering and absorption. In this study, a solar spectral irradiance monitor (SSIM) from the University of Colorado Boulder was flown on a Twin Otter aircraft with the National Ecological Observatory Network’s (NEON) imaging spectrometer. Upwelling and downwelling irradiance observations from the SSIM were used as boundary conditions for the radiative transfer model used to atmospherically correct NEON imaging spectrometer data. Using simultaneous irradiance observations as boundary conditions removed the need to model the entire atmospheric column so that atmospheric correction required modeling only the atmosphere below the aircraft. For overcast conditions, incorporating SSIM observations into the atmospheric correction process reduced root-mean-square (rms) error in retrieved surface reflectance by up to 57% compared with a standard approach. In addition, upwelling irradiance measurements were used to produce an observation-based estimate of the adjacency effect. Under cloud-free conditions, this correction reduced the rms error of surface reflectance retrievals by up to 27% compared with retrievals that ignored adjacency effects.

中文翻译:

使用同步太阳光谱辐照度观测对机载高光谱图像进行云下大气校正

从机载高光谱图像中检索表面特性需要使用大气校正模型来补偿大气散射和吸收。在这项研究中,来自科罗拉多大学博尔德分校的太阳光谱辐照度监测器 (SSIM) 与国家生态天文台网络 (NEON) 成像光谱仪一起在双水獭飞机上飞行。来自 SSIM 的上升流和下降流辐照度观测被用作辐射传输模型的边界条件,用于大气校正 NEON 成像光谱仪数据。使用同步辐照度观测作为边界条件消除了对整个大气柱进行建模的需要,因此大气校正只需要对飞机下方的大气进行建模。对于阴天,与标准方法相比,将 SSIM 观测纳入大气校正过程可将检索到的表面反射率的均方根 (rms) 误差降低多达 57%。此外,上升流辐照度测量用于产生基于观察的邻接效应估计。在无云条件下,与忽略邻接效应的反演相比,这种校正将表面反射反演的均方根误差降低了 27%。
更新日期:2021-02-01
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