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Replacing missing values in the standard Multi-angle Imaging SpectroRadiometer (MISR) radiometric camera-by-camera cloud mask (RCCM) data product

机译:替换标准多角度成像光谱辐射计(MISR)辐射测量相机逐个云掩模(RCCM)数据产品中的缺失值

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The Multi-angle Imaging SpectroRadiometer (MISR) is one of the five instruments hosted on board the NASA Terra platform, launched on 18?December?1999. This instrument has been operational since 24?February?2000 and is still acquiring Earth observation data as of this writing. The primary mission of the MISR is to document the state and properties of the atmosphere, in particular the clouds and aerosols it contains, as well as the planetary surface, on the basis of 36 data channels collectively gathered by its nine cameras (pointing in different directions along the orbital track) in four spectral bands (blue, green, red and near-infrared). The radiometric camera-by-camera cloud mask (RCCM) is derived from the calibrated measurements at the nominal top of the atmosphere and is provided separately for each of the nine cameras. This RCCM data product is permanently archived at the NASA Atmospheric Science Data Center (ASDC) in Hampton, VA, USA, and is openly accessible (Diner et?al.,?1999b, and https://doi.org/10.5067/Terra/MISR/MIRCCM_L2.004). For various technical reasons described in this paper, this RCCM product exhibits missing data, even though an estimate of the clear or cloudy status of the environment at each individual observed location can be deduced from the available measurements. The aims of this paper are (1)?to describe how to replace over 99 % of the missing values by estimates and (2)?to briefly describe the software to replace missing RCCM values, which is openly available to the community from the GitHub website, https://github.com/mmverstraete/MISR RCCM/ (last access: 12 March 2020), or https://doi.org/10.5281/ZENODO.3240017 (Verstraete,?2019e). Two additional sets of resources are also made available on the research data repository of GFZ Data Services in conjunction with this paper. The first set (A; Verstraete et?al.,?2020; https://doi.org/10.5880/fidgeo.2020.004) includes three items: (A1) a compressed archive, RCCM_Out.zip, containing all intermediary, final and ancillary outputs created while generating the figures of this paper; (A2) a user manual, RCCM_Out.pdf, describing how to install, uncompress and explore those files; and (A3) a separate input MISR data archive, RCCM_input_68050.zip, for Path 168, Orbit 68050. This latter archive is usable with (B), the second set (Verstraete and Vogt,?2020; https://doi.org/10.5880/fidgeo.2020.008), which includes (B1), a stand-alone, self-contained, executable version of the RCCM correction codes, RCCM_Soft_Win.zip, using the IDL Virtual Machine technology that does not require a paid IDL license, as well as (B2), a user manual, RCCM_Soft_Win.pdf, to explain how to install, uncompress and use this software.
机译:多角度成像光谱辐射计(MISR)是NASA Terra平台上托管的五种仪器之一,于18岁?12月?1999年。这乐器自24岁以​​来一直在运作?2000年2月份,仍然获取了截至本文的地球观测数据。 MISR的主要使命是记录大气的状态和性质,特别是它包含它包含的云和气溶胶,以及行星表面的基础,基于36个数据渠道由九个摄像机共同收集(指向不同的沿着轨道轨道的方向)在四个光谱频段(蓝色,绿色,红色和近红外线)。逐镜相机云掩模(RCCM)来自大气中标称顶部的校准测量,并为九个摄像机分开提供。该RCCM数据产品在美国汉普顿,VA,VA,USA的NASA大气科学数据中心(ASDC)中永久存档,并且公开访问(DINER et?Al。,?1999b,https://doi.org/10.5067/tertra /misr/mirccm_l2.004)。出于本文中描述的各种技术原因,该RCCM产品展示了缺失的数据,即使可以从可用的测量中推断出每个人观察位置的环境的清晰或阴天状态的估计。本文的目的是(1)?描述如何通过估计和(2)替换超过99%的缺失值?简要描述替换丢失的RCCM值的软件,该价值从Github公开使用社区网站,https://github.com/mmverstraete/misr rccm /(上次访问:3月12日),或https://doi.org/10.5281/zenodo.3240017(Verstraete,2019e)。 GFZ数据服务的研究数据存储库也与本文一起提供了两组额外的资源。第一个组(a; verstraete et?al。,?2020; https://doi.org/10.5880/fidgeo.2020.004)包括三个项目:(a1)一个压缩的存档,rccm_out.zip,包含所有中介,最终和在生成本文的数字时创建的辅助输出; (a2)用户手册,rccm_out.pdf,描述如何安装,解压缩和探索这些文件; (a3)一个单独的输入misr数据存档,rccm_input_68050.zip,用于路径168,轨道68050.此后者存档可用于(b),第二组(Verstraete和Vogt,?2020; https://doi.org /10.5880/Fidgeo.202020.008)包括(B1),一个独立的,独立的,可执行的RCCM校正代码,RCCM_Soft_Win.zip,使用不需要付费IDL许可证的IDL虚拟机技术,以及(b2),用户手册,rccm_soft_win.pdf,用于解释如何安装,解压缩和使用此软件。

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