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首页> 外文期刊>Remote Sensing of Environment: An Interdisciplinary Journal >Spectral band unification and inter-calibration of Himawari AHI with MODIS and VIIRS: Constructing virtual dual-view remote sensors from geostationary and low-Earth-orbiting sensors
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Spectral band unification and inter-calibration of Himawari AHI with MODIS and VIIRS: Constructing virtual dual-view remote sensors from geostationary and low-Earth-orbiting sensors

机译:MODIS和VIIRS的光谱带统一和HIMAWARI AHI的校准:构建来自地静止和低地球轨道传感器的虚拟双视距传感器

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摘要

Through band unification and inter-calibration this paper develops and presents a method to construct virtual dual-view sensors from compatible geostationary and low-Earth-orbiting (LEO) sensors such that spectrally unified and radiometrically consistent observations from two different angles can be acquired using these virtual sensors. Results for three virtual dual-view sensors constructed from Himawari-8/AHI (one of the next generation of geostationary sensors) paired with MODIS (Aqua and Terra) and VIIRS are reported. Over 1270 representative Hyperion passes were used to reproduce, by spectral band integration, "simultaneous" observations by the three pairs of sensors, and linear relationships between AHI-MODIS and AHI-VIIRS were established, allowing the conversion of MODIS bands and VIIRS bands to AHI bands. For 95% of the sample pixels, a maximum reflectance conversion error 0.004 was achieved. Following band conversion, inter-calibration was conducted using a ray-matching technique, involving up to 2100 matchup areas from 20 months of imagery. Overall the final calibration accuracy is high as indicated by high correlation r(2) (similar to 0.98), small estimated parameter errors, small regression errors and negligible regression biases. The temporal drifting of the paired sensors over a 20 month period was also analysed. It shows that all the involved sensors are very stable. Accurate inter-calibration not only provides an economical solution for the calibration an Fd validation of remote sensors, it is also essential for synergetic multi-sensor applications. Lack of sufficient information from single-view sensors has been a common bottleneck in many remote sensing applications. Constructing virtual dual-view sensors using the presented method provides an effective way to overcome the limitations of single-view sensors, without incurring extra costs. The method can be applied to other next generation geostationary sensors leading to near global coverage
机译:通过带统一和校准互联网本文开发并提出了一种从兼容的地静止和低地球轨道(LEO)传感器构造虚拟双视图传感器的方法,使得可以使用来自两种不同角度的光谱统一和辐射成一致的观察这些虚拟传感器。报告了来自HimaWari-8 / AHI(下一代地球静止传感器之一)的三个虚拟双视图传感器的结果报告了与MODIS(Aqua和Terra)和VIIR配对。超过1270个代表性的Hyperion传递来通过光谱频段集成来重现,通过三对传感器“同时”观察,并建立了AHI-MODIS和AHI-VIIR之间的线性关系,允许转换MODIS频段和VIIRS频段AHI乐队。对于95%的样品像素,最大反射率转换误差且最大反射率转换误差&达到0.004。频段转换后,使用光线匹配技术进行校准,涉及从20个月的图像中的最多2100个匹配区域。总体而言,最终校准精度高,如高相关R(2)(类似于0.98),小估计参数误差,小回归误差和可忽略的回归偏差。还分析了在20个月内的配对传感器的时间漂移​​。它表明所有涉及的传感器都非常稳定。精确的校准不仅提供了校准远程传感器的FD验证的经济解决方案,对于协同多传感器应用也是必不可少的。单视觉传感器缺乏足够的信息已经是许多遥感应用中的常见瓶颈。使用呈现的方法构建虚拟双视图传感器提供了一种克服单视图传感器的限制的有效方法,而不会产生额外的成本。该方法可以应用于导致接近全球覆盖范围的下一代地静止传感器

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