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首页> 外文期刊>Remote Sensing of Environment: An Interdisciplinary Journal >Imaging spectrometer emulates Landsat: A case study with Airborne Visible Infrared Imaging Spectrometer (AVIRIS) and Operational Land Imager (OLI) data
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Imaging spectrometer emulates Landsat: A case study with Airborne Visible Infrared Imaging Spectrometer (AVIRIS) and Operational Land Imager (OLI) data

机译：成像光谱仪仿真Landsat：用空气传播的红外成像光谱仪（Aviris）和运营陆地成像器（OLI）数据的案例研究

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摘要

Remote sensing data are most useful if they are available with sufficient precision, accuracy, spatiotemporal and spectral sampling, as well as continuity across decades. The Landsat and Sentinel series, as well other satellites are currently covering significant parts of this observational trade space. It can be expected that growing demands and budget constraints will require new capabilities in orbit that can address as many observables as possible with a single instrument. Recent optical performance improvements of imaging spectrometers make them true alternatives to traditional multispectral imagers. However, they are much more adaptable to a wide range of Earth observation needs due to the combination of continuous high spectral sampling with spatial sampling consistent with previous sensors (e.g., Landsat). Unfortunately, there is a knowledge gap in demonstrating that imaging spectroscopy data can substitute for multi-spectral data while sustaining the long-term record. Thus, the objective of this analysis is to test the hypothesis that imaging spectroscopy data compare radiometrically with multi-spectral data to within 5%. Using a coincident Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) flight with over-passing Operational Land Imager (OLI) data on Landsat 8, we document a procedure for simulating OLI multi-spectral bands from AVIRIS data, evaluate influencing factors on the observed radiance, and assess the difference in top-of-atmosphere radiance as compared to OLI. The procedure for simulating OLI data include spectral convolution, accounting for the minimal atmospheric effects between the two sensors, and spatial resampling. The remaining differences between the simulated and the real OLI data result mainly from differences in sensor calibration, surface bi-directional reflectance, and spatial sampling. The median relative radiometric difference for each band ranges from - 8.3% to 0.6%. After bias-correction to minimize potential calibration di
机译：如果它们具有足够的精度，精度，时空和光谱采样，以及数十年的连续性，遥感数据最有用。 Landsat和Sentinel系列，以及其他卫星目前正在涵盖这一观察贸易空间的重要部分。可以预期，不断增长的需求和预算限制将需要在轨道中的新功能，可以通过单个仪器解决尽可能多的可观察到。最近的成像光谱仪的光学性能改进使它们成为传统多光谱成像仪的真正替代方案。然而，由于连续高光谱取样的组合具有与先前传感器（例如，Landsat）的空间采样一致的连续高光谱取样的组合，它们更适应各种地球观测需求。遗憾的是，在证明成像光谱数据可以在维持长期记录的同时代替多光谱数据，存在知识差距。因此，该分析的目的是测试成像光谱数据的假设，以多光谱数据在5％范围内比较。使用与过度通行的运营陆地成像器（OLI）数据上的重合空中可见/红外成像光谱仪（OLI）在Landsat 8上进行数据，我们记录了从Aviris数据模拟Oli多光谱频带的过程，评估观察到的辐射的影响因素并评估与OLI相比的大气层辐射的差异。模拟OLI数据的过程包括光谱卷积，占两个传感器之间的最小大气效应和空间重采样。模拟和真实OLI数据之间的剩余差异主要来自传感器校准，表面双向反射率和空间采样的差异。每个频段的相对辐射差异为-8.3％至0.6％。偏压后校正以最小化电位校准DI

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