Mapping Earth's Dust-EMITting Regions from the ISS with the EMIT Imaging Spectrometer

B. Oaida, Amruta Yelamanchili, Christopher Wells, D. Thompson, R. Green, M. Bennett, D. Keymeulen, Thang Pham, Daniel P. Poe, Lena Siskind, Charlene Ung
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引用次数: 3

Abstract

The Earth Surface Mineral Dust Source Investigation (EMIT) is a Dyson-type imaging spectrometer which will operate from the EXPRESS Logistics Carrier (ELC) 1 platform of the International Space Station (ISS) starting in 2022 with the objective of mapping Earth's dust-EMITting land regions for the purpose of determining the composition of key constituent minerals and their impact on radiative forcing. Designed to operate for a minimum of one year, the EMIT instrument will collect over 50 Terabits of data representing billions of individual spectra for processing on the ground, significantly improving the state of knowledge about the composition and regional and global distribution of these key minerals. Acquiring, storing, processing and downlinking such large amounts of data requires a well-orchestrated planning effort in concert with an on-board high-performance computing embedded system. Adding to the challenge, and because the science requires a cloud-free measurement, significant effort has been expended in both attempting to predict the impact of clouds on the coverage as well as removing cloudy acquisitions on-board to reduce the pressure on the shared ISS downlink pipeline. In this paper we will explore the ways in which the EMIT mission design has been shaped by the performance requirements imposed by the science on data sufficiency and quality along with the constraints imposed by ISS operations and hardware limitations. Various sensitivity analyses are presented investigating the impact of ISS orbit altitude and seasonality on the coverage of the science target mask, along with data compression and throughput, cloudiness assumptions, and downlink data rate effects on on-board storage sizing and margins.
用发射成像光谱仪从国际空间站绘制地球的尘埃发射区域
地球表面矿物粉尘源调查(EMIT)是一种戴森型成像光谱仪,将从2022年开始在国际空间站(ISS)的EXPRESS Logistics Carrier (ELC) 1平台上运行,目的是绘制地球粉尘排放陆地区域的地图,以确定关键成分矿物的组成及其对辐射强迫的影响。EMIT仪器的设计工作时间至少为一年,将收集超过50太比特的数据,代表数十亿个单独的光谱,用于地面处理,大大提高了对这些关键矿物组成和区域和全球分布的认识状态。获取、存储、处理和下行如此大量的数据需要精心安排的计划工作,并配合机载高性能计算嵌入式系统。更大的挑战是,由于科学需要无云测量,因此在试图预测云对覆盖范围的影响以及消除船上的云采集以减少国际空间站共享下行管道的压力方面,已经花费了大量的努力。在本文中,我们将探讨EMIT任务设计如何受到科学对数据充分性和质量的性能要求以及国际空间站操作和硬件限制所施加的约束的影响。提出了各种敏感性分析,研究了国际空间站轨道高度和季节性对科学目标掩模覆盖范围的影响,以及数据压缩和吞吐量、云量假设和下行数据速率对机载存储大小和余量的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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