利用大气预校正差分吸收技术从AVIRIS-NG数据中反演大气柱水蒸气

Jalpesh A. Dave, M. Pandya, Hasmukh K. Varchand, Parthkumar Parmar, H. Trivedi, V. Pathak
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摘要

利用大气预校正差分吸收(APDA)技术,从新一代机载可见光/红外成像光谱仪(AVIRIS-NG)的高光谱数据中提取了大气柱水蒸气(WV)。APDA技术是在线性回归比(LIRR)方法的基础上,对连续插值带比(CIBR)方法的扩展。在APDA中,额外的大气预校正项降低了大气路径辐射,在较低的地表反照率下提供了良好的精度。此外,由于使用了三个以上的吸收波段,该技术在表面反射率变化较大的情况下具有更好的性能。利用MODTRAN (MODerate resolution atmospheric TRANsmission) 5.3辐射传输模型(RTM)对红外传感器辐射进行了最佳吸收波段选择,在1120nm ~ 1150nm范围内选择了6个WV吸收波段。在不同的大气和地表参数下,对红外传感器辐射进行了模拟,得到了不同WV浓度对应的吸收带和非吸收带的波段比RAPDA。利用实际的无线电探空仪WV值对该技术进行了理论验证,结果与0.0145 gm/cm2的均方根误差(RMSE)吻合良好。该技术首次应用于包含艾哈迈达巴德和阿南德两个地点异质表面的AVIRIS-NG印度运动数据。利用NASA的AVIRIS-NG 2级WV产品对检索到的WV进行逐像素验证。艾哈迈达巴德和阿南德的RMSE分别为0.164 gm/cm2和0.112 gm/cm2,表明该技术具有良好的WV检索性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Atmospheric Column Water Vapor Retrieval using Atmospheric Precorrected Differential Absorption Technique from AVIRIS-NG Data
In this paper, the atmospheric column water vapor (WV) has been retrieved using atmospheric precorrected differential absorption (APDA) technique from the hyperspectral data of Next-Generation Airborne Visible/Infrared Imaging Spectrometer (AVIRIS-NG). The APDA technique is extended method of Continuum interpolation band ratio (CIBR), and it is based on Linear regression ratio (LIRR) method. In APDA the additional atmospheric precorrected term reduces atmospheric path radiance, which provides good accuracy over lower surface albedo. Moreover owing to use of more than three absorption bands, this technique gives better performance over large surface reflectance variation. Optimum absorption bands selection has been performed by derived at-sensor radiance using MODTRAN (MODerate resolution atmospheric TRANsmission) 5.3 radiative transfer model (RTM), and six WV absorption bands are selected between 1120nm to 1150nm. At-sensor radiance simulations have been carried out for varying atmospheric and surface parameters, and then a band ratio RAPDA is derived from absorbing and non-absorbing band, corresponding to different WV concentration. The theoretical validation of the technique has been performed using actual radiosonde WV values, which shows good agreement with a root mean square error (RMSE) of 0.0145 gm/cm2. The technique has been first-time applied to AVIRIS-NG Indian campaign data containing heterogeneous surface of two sites of Ahmedabad and Anand. Validation of retrieved WV was carried out with the NASA's AVIRIS-NG level-2 WV products on pixel-to-pixel basis. The RMSE for Ahmedabad and Anand is 0.164 gm/cm2 and 0.112 gm/cm2, respectively, which demonstrates a good performance of the proposed technique for the WV retrieval.
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