The EnMAP spaceborne imaging spectroscopy mission: Initial scientific results two years after launch

IF 11.1 1区 地球科学 Q1 ENVIRONMENTAL SCIENCES
Sabine Chabrillat , Saskia Foerster , Karl Segl , Alison Beamish , Maximilian Brell , Saeid Asadzadeh , Robert Milewski , Kathrin J. Ward , Arlena Brosinsky , Katrin Koch , Daniel Scheffler , Stephane Guillaso , Alexander Kokhanovsky , Sigrid Roessner , Luis Guanter , Hermann Kaufmann , Nicole Pinnel , Emiliano Carmona , Tobias Storch , Tobias Hank , Sebastian Fischer
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引用次数: 0

Abstract

Imaging spectroscopy has been a recognized and established remote sensing technology since the 1980s, mainly using airborne and field-based platforms to identify and quantify key bio- and geo-chemical surface and atmospheric compounds, based on characteristic spectral reflectance features in the visible-near infrared (VNIR) and short-wave infrared (SWIR). Spaceborne missions, a leap in technology, were sparse, starting with the CHRIS/PROBA and EO1/Hyperion missions in the early 2000s, and providing spectroscopy data with limited spectral coverage and/or low data quality in the SWIR. Since 2019, several countries and agencies have successfully launched a number of spaceborne imaging spectroscopy systems into orbit or deployed them on the International Space Station (ISS) such as DESIS, PRISMA, HISUI, GF-5, EnMAP and EMIT. Among these recent missions, the German Environmental Mapping and Analysis Program (EnMAP) stands for its long-term development, sophisticated design with on-board calibration, high data quality requirements, and extensive accompanying science program. EnMAP was launched in April 2022 and, following a successful commissioning phase, started its operational activities in November 2022. The EnMAP mission encompasses global coverage from 80° N to 80° S through on-demand data acquisitions. Data are free and open access with 30 m spatial resolution, a high spectral resolution with a spectral sampling distance of 6.5 nm and 10 nm in the VNIR and SWIR regions respectively, and a high signal-to-noise ratio. In this paper, we aim to present the mission's current status, coverage, science capabilities and performance two years after launch. We show the potential of EnMAP for space-based imaging spectroscopy to operate in various environments, including high and low light levels, dense forests, Antarctic glaciers, and arid agricultural areas. EnMAP enables various applications in fields such as agriculture and forestry, soil compositional, raw materials, and methane mapping, as well as water quality assessment, and snow and ice properties. The results show that EnMAP's performance exceeds the mission requirements, and highlights the significant potential for contribution to scientific exploitation in various geo- and biochemical sciences. EnMAP is also expected to serve as a key tool for the development and testing of data processing algorithms for upcoming global operational missions.
EnMAP 星载成像光谱飞行任务:发射两年后的初步科学成果
自 20 世纪 80 年代以来,成像光谱学一直是一种公认的成熟遥感技术,主要利用机载和实地平台,根据可见近红外和短波红外的光谱反射特征,识别和量化关键的生物和地球化学地表和大气化合物。从 2000 年代初的 CHRIS/PROBA 和 EO1/Hyperion 任务开始,作为技术飞跃的星载任务非常稀少,所提供的光谱数据在 SWIR 方面的光谱覆盖范围有限和/或数据质量较低。自 2019 年以来,一些国家和机构已成功将一些空间成像光谱系统送入轨道或部署在国际空间站(ISS)上,如 DESIS、PRISMA、HISUI、GF-5、EnMAP 和 EMIT。在最近的这些任务中,德国环境绘图和分析计划(EnMAP)因其长期发展、复杂的机载校准设计、高数据质量要求和广泛的配套科学计划而独树一帜。EnMAP于2022年4月启动,经过成功的调试阶段后,于2022年11月开始运行。通过按需采集数据,EnMAP 任务覆盖北纬 80 度至南纬 80 度的全球范围。数据免费开放,空间分辨率为 30 米,光谱分辨率高,在 VNIR 和 SWIR 区域的光谱采样距离分别为 6.5 纳米和 10 纳米,信噪比高。本文旨在介绍这项任务的现状、覆盖范围、科学能力以及发射两年后的表现。我们展示了EnMAP天基成像光谱仪在各种环境下工作的潜力,包括强光和弱光、茂密的森林、南极冰川和干旱的农业区。EnMAP 可用于农业和林业、土壤成分、原材料和甲烷绘图、水质评估以及冰雪特性等领域。结果表明,EnMAP 的性能超出了任务要求,并凸显了其在促进各种地球和生物化学科学利用方面的巨大潜力。预计 EnMAP 还将成为为即将到来的全球业务任务开发和测试数据处理算法的重要工具。
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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来源期刊
Remote Sensing of Environment
Remote Sensing of Environment 环境科学-成像科学与照相技术
CiteScore
25.10
自引率
8.90%
发文量
455
审稿时长
53 days
期刊介绍: Remote Sensing of Environment (RSE) serves the Earth observation community by disseminating results on the theory, science, applications, and technology that contribute to advancing the field of remote sensing. With a thoroughly interdisciplinary approach, RSE encompasses terrestrial, oceanic, and atmospheric sensing. The journal emphasizes biophysical and quantitative approaches to remote sensing at local to global scales, covering a diverse range of applications and techniques. RSE serves as a vital platform for the exchange of knowledge and advancements in the dynamic field of remote sensing.
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