High-resolution ocean color imagery from the SeaHawk-HawkEye CubeSat mission.

IF 5.8 2区综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES

Scientific Data Pub Date : 2024-11-18 DOI:10.1038/s41597-024-04076-4

Philip J Bresnahan, Sara Rivero-Calle, John Morrison, Gene Feldman, Alan Holmes, Sean Bailey, Alicia Scott, Liang Hong, Frederick Patt, Norman Kuring, Corrine Rojas, Craig Clark, John Charlick, Baptiste Lombard, Hessel Gorter, Roberto Travaglini, Hazel Jeffrey

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Abstract

Here we describe the data obtained by a successful proof-of-concept initiative to launch the first ocean color imager on board a CubeSat satellite and collect research-grade imagery at severalfold higher spatial resolution than any other ocean color satellite mission. The 3U CubeSat, named SeaHawk, flew at a nominal altitude of 585 km. Its ocean color sensor, HawkEye, collected 7,471 research-grade push-broom images of 230 × 780 km² at best-in-class 130 × 130 m² per pixel. The sensor is built with comparatively low-cost commercial off-the-shelf optoelectronics and was designed to match NASA SeaWiFS ocean color specifications, including wavelengths, bandwidths, and signal-to-noise ratios. HawkEye's design for ocean color remote sensing combined with its high spatial resolution make the imagery especially well-suited for coastal, estuarine, and limnological applications. Ultimately, the successful mission provided open access to a rich global dataset of calibrated and quality-controlled imagery for use in aquatic ecology and environmental change studies.

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SeaHawk-HawkEye CubeSat 飞行任务提供的高分辨率海洋颜色图像。

在此，我们介绍了一项成功的概念验证计划所获得的数据，该计划在立方体卫星上发射了第一台海洋色彩成像仪，并以比其他任何海洋色彩卫星任务高出数倍的空间分辨率收集了研究级图像。这颗 3U 立方体卫星被命名为 SeaHawk，飞行高度为 585 千米。其海洋色彩传感器 "鹰眼"（HawkEye）收集了 7,471 幅研究级推帚图像，面积为 230 × 780 平方公里，每像素最佳分辨率为 130 × 130 平方米。该传感器采用成本相对较低的现成商业光电子技术，其设计符合 NASA SeaWiFS 海洋色彩规格，包括波长、带宽和信噪比。鹰眼的海洋颜色遥感设计与其高空间分辨率相结合，使其图像特别适合沿海、河口和湖泊学应用。最终，这次成功的任务为水生生态学和环境变化研究提供了丰富的全球校准和质量控制图像数据集。

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

Scientific Data Social Sciences-Education

CiteScore

11.20

自引率

4.10%

发文量

689

审稿时长

16 weeks

期刊介绍： Scientific Data is an open-access journal focused on data, publishing descriptions of research datasets and articles on data sharing across natural sciences, medicine, engineering, and social sciences. Its goal is to enhance the sharing and reuse of scientific data, encourage broader data sharing, and acknowledge those who share their data. The journal primarily publishes Data Descriptors, which offer detailed descriptions of research datasets, including data collection methods and technical analyses validating data quality. These descriptors aim to facilitate data reuse rather than testing hypotheses or presenting new interpretations, methods, or in-depth analyses.