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来自海鹰-鹰眼立方星任务的高分辨率海洋颜色图像。

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

作者信息

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

机构信息

Department of Earth and Ocean Sciences, University of North Carolina Wilmington, Wilmington, NC, USA.

Center for Marine Science, University of North Carolina Wilmington, Wilmington, NC, USA.

出版信息

Sci Data. 2024 Nov 18;11(1):1246. doi: 10.1038/s41597-024-04076-4.

DOI:10.1038/s41597-024-04076-4
PMID:39557852
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11574100/
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 km at best-in-class 130 × 130 m 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.

摘要

在此,我们描述了一项成功的概念验证计划所获得的数据。该计划在一颗立方星卫星上搭载了首个海洋颜色成像仪,并以比其他任何海洋颜色卫星任务高出数倍的空间分辨率收集了研究级图像。这颗名为“海鹰”的3U立方星在585公里的标称高度飞行。其海洋颜色传感器“鹰眼”收集了7471幅研究级推扫图像,覆盖面积为230×780公里,像素分辨率达一流的每像素130×130米。该传感器采用成本相对较低的商用现成光电子器件构建,设计用于匹配美国国家航空航天局(NASA)的SeaWiFS海洋颜色规格,包括波长、带宽和信噪比。“鹰眼”用于海洋颜色遥感的设计及其高空间分辨率,使得这些图像特别适用于沿海、河口和湖泊学应用。最终,这次成功的任务提供了一个丰富的全球校准和质量控制图像数据集的开放访问权限,可用于水生生态和环境变化研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf1a/11574100/bcb736b9d25b/41597_2024_4076_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf1a/11574100/02b464e8dd18/41597_2024_4076_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf1a/11574100/6dfeb7ac58f0/41597_2024_4076_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf1a/11574100/7d5f13acc16a/41597_2024_4076_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf1a/11574100/50702b57106b/41597_2024_4076_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf1a/11574100/7ae71d05580c/41597_2024_4076_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf1a/11574100/b45a6b093338/41597_2024_4076_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf1a/11574100/bcb736b9d25b/41597_2024_4076_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf1a/11574100/02b464e8dd18/41597_2024_4076_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf1a/11574100/6dfeb7ac58f0/41597_2024_4076_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf1a/11574100/7d5f13acc16a/41597_2024_4076_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf1a/11574100/50702b57106b/41597_2024_4076_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf1a/11574100/7ae71d05580c/41597_2024_4076_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf1a/11574100/b45a6b093338/41597_2024_4076_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf1a/11574100/bcb736b9d25b/41597_2024_4076_Fig7_HTML.jpg

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Int J Appl Earth Obs Geoinf. 2022 Jun;110:102804. doi: 10.1016/j.jag.2022.102804. Epub 2022 May 15.
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4
Daily metre-scale mapping of water turbidity using CubeSat imagery.利用立方星图像进行每日米级水体浊度测绘。
Opt Express. 2019 Sep 30;27(20):A1372-A1399. doi: 10.1364/OE.27.0A1372.
5
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6
Recent increase in catastrophic tropical cyclone flooding in coastal North Carolina, USA: Long-term observations suggest a regime shift.美国北卡罗来纳州沿海地区灾难性热带气旋洪水的近期增加:长期观测表明出现了一个制度转变。
Sci Rep. 2019 Jul 23;9(1):10620. doi: 10.1038/s41598-019-46928-9.
7
An overview of approaches and challenges for retrieving marine inherent optical properties from ocean color remote sensing.从海洋颜色遥感中获取海洋固有光学特性的方法与挑战概述
Prog Oceanogr. 2018 Jan;160:186-212. doi: 10.1016/j.pocean.2018.01.001. Epub 2018 Jan 6.
8
The Impact of Submesoscale Physics on Primary Productivity of Plankton.亚中尺度物理过程对浮游植物初级生产力的影响。
Ann Rev Mar Sci. 2016;8:161-84. doi: 10.1146/annurev-marine-010814-015912. Epub 2015 Sep 21.
9
Retrieval of water-leaving radiance and aerosol optical thickness over the oceans with SeaWiFS: a preliminary algorithm.利用海色宽视场传感器(SeaWiFS)反演海洋上空的离水辐射率和气溶胶光学厚度:一种初步算法。
Appl Opt. 1994 Jan 20;33(3):443-52. doi: 10.1364/AO.33.000443.
10
Sources and assumptions for the vicarious calibration of ocean color satellite observations.海洋颜色卫星观测替代校准的数据源与假设
Appl Opt. 2008 Apr 20;47(12):2035-45. doi: 10.1364/ao.47.002035.