Optimax Systems, Inc. Get updates from SPIE Newsroom
  • Newsroom Home
  • Astronomy
  • Biomedical Optics & Medical Imaging
  • Defense & Security
  • Electronic Imaging & Signal Processing
  • Illumination & Displays
  • Lasers & Sources
  • Micro/Nano Lithography
  • Nanotechnology
  • Optical Design & Engineering
  • Optoelectronics & Communications
  • Remote Sensing
  • Sensing & Measurement
  • Solar & Alternative Energy
  • Sign up for Newsroom E-Alerts
  • Information for:
    Advertisers
SPIE Photonics West 2018 | Call for Papers

SPIE Defense + Commercial Sensing 2018 | Call for Papers

SPIE Journals OPEN ACCESS

SPIE PRESS

SPIE PRESS

Print PageEmail PageView PDF

Electronic Imaging & Signal Processing

Monitoring coastal ocean color with low-cost CubeSats

Miniaturization of satellite remote sensing promises lower costs, and SeaHawk is a prime example, offering global coastal ocean color imagery comparable to previous larger and more expensive systems.
13 September 2016, SPIE Newsroom. DOI: 10.1117/2.1201608.006691

The National Research Council1 recently established the need to sustain and advance satellite ocean color research. Space observations have transformed biological oceanography, advancing knowledge of carbon and nitrogen cycling, showing how the ocean's biological processes influence climate, and allowing assessment of changes in primary production (the basis of the marine food chain). Continuous ocean color observation is also essential for monitoring the health of the marine ecosystem and its ability to sustain fisheries. Interrupting the ocean color record would hamper the work of climate scientists, fisheries and coastal resource managers, and other users ranging from the military to oil spill responders.

Earth observing (EO) satellite missions have typically required large spacecraft with multiple payloads, resulting in high costs. For example, the 1997 SeaStar satellite (known later as OrbView-1) with its Sea-viewing Wide Field-of-View Sensor (SeaWiFS)2, 3 cost more than $100M,4 including the sensor, spacecraft, and launch costs. A constellation of EO CubeSats could change this, providing daily or finer temporal resolution and better spatial resolution for dramatically reduced cost.

CubeSats are small, inexpensive satellites built on a concept created by Stanford University's Space Systems Development Laboratory and California Polytechnic State University intended to provide less-expensive access to space.5, 6 SeaHawk is a CubeSat fitted with a low-cost, miniature ocean color sensor known as HawkEye that will allow fine-spatial-resolution observations of the ocean. SeaHawk's low cost, mass, and volume, and short development time should enable more similar EO missions in the future. SeaHawk (see Figure 1) will be 200 times smaller (10×10×30 cm3 vs. 50×50×200 cm3) and 100 times lighter (∼3kg vs. 309kg) than OrbView-1, with eight times finer resolution (120m vs. 1km) and similar signal-to-noise ratio.


Figure 1. The HawkEye ocean color sensor interfaces to a CubeSat bus via four corner side-rails connected to the satellite bus.

Two SeaHawk CubeSats7–9 are being built over a two-year period (2015–2017) to be launched in 2018, for a cost of $1.7M. SeaHawk has completed its Critical Design Review. There is no technology development involved because commercial subsystems are used throughout. SeaHawk is a 3U CubeSat composed of a 2U standard bus produced by Clyde Space of Glasgow, Scotland, and a 1U HawkEye multispectral ocean color sensor.

HawkEye uses eight spectral bands with ground sample distance of about 120m from a nominal 540km polar orbit. HawkEye's specifications are summarized in Table 1. The red rectangle in Figure 2 shows HawkEye's nominal field of view. The system engineering approach driving SeaHawk and HawkEye is based on fitting HawkEye within a 10cm cube with SeaWiFS radiometry at 120m nadir resolution from an orbit altitude of 540km over a 350km swath. HawkEye's 120m resolution dramatically improves imaging capabilities compared to the 1km resolution of OrbView-1's SeaWiFS.

Table 1.HawkEye offers eight Sea-viewing Wide Field-of-View Sensor (SeaWiFS) spectral bands with 140μrad instantaneous field of view per band. SNR: Signal-to-noise ratio. Ltyp: Typical radiance level.
Band #HawkEye band center, nmLtyp, W/m2 μm srHawkEye bandwidth (BW), nmPredicted HawkEye BW SNRSeaWiFS specified SNR
SeaWiFS 1 412 78.6 20 487 499
SeaWiFS 2 443 70.2 20 469 674
SeaWiFS 3 490 53.1 20 398 667
SeaWiFS 4 510 45.8 20 373 616
SeaWiFS 5 555 33.9 20 324 581
SeaWiFS 6 670 16 20 239 447
New 7* 750.9 9.3 14.7 162 N/A
SeaWiFS 8 865 4.5 40 149 467**
*765nm SeaWiFS band modified per NASA request
**SeaWiFS Ltyp = 2HawkEye Ltyp

Figure 2. HawkEye field of view illustrated with a MODIS10 image of the Santa Barbara channel. The field of view is approximately 350km cross-track from a 540km altitude via pushbroom scan of the 4080 pixel 120m spatial resolution linear arrays. MODIS: Moderate Resolution Imaging Spectroradiometer.

Imagery from SeaHawk's HawkEye sensor will improve the ability to monitor fjords, estuaries, coral reefs, and other near-shore environments where anthropogenic stresses are often most acute and where there are considerable security and commercial interests. HawkEye is in ground testing at Cloudland Instruments, with anticipated completion in 2017 for spacecraft integration and launch in early 2018. The SeaHawk program, managed by John Morrison of the University of North Carolina-Wilmington (UNC-W), is overseen by members of the former SeaWiFS science team at NASA's Goddard Space Flight Center. UNC-W is preparing for SeaHawk by developing algorithms to take advantage of the improved 120m spatial resolution compared to the SeaWiFS 1km spatial resolution.


Carl Schueler
Cloudland Instruments
Santa Barbara, CA

Carl Schueler was formerly the remote sensing chief scientist at Raytheon Santa Barbara. He supports SeaHawk testing.

Alan Holmes
Cloudland Instruments
Goleta, CA

Alan Holmes previously served as the SeaWiFS program chief engineer at Hughes Santa Barbara Research Center. He is CEO of Cloudland Instruments.


References:
1. Assessing the Requirements for Sustained Ocean Color Research and Operations , National Academies Press, Washington DC, 2011.
2. R. W. Barnes, A. W. Holmes, Overview of the SeaWiFS ocean sensor, Proc. SPIE 1939, p. 244-232, 1993. doi:10.1117/12.152849
3. C. R. McClain, G. C. Feldman, S. B. Hooker, An overview of the SeaWiFS project and strategies for producing a climate research quality global ocean bio-optical time series, Deep-Sea Research II(51), p. 5-42, 2004.
4. https://www.forecastinternational.com/archive/disp_pdf.cfm?DACH_RECNO=990 Forecast International, GeoEye, Space Systems Forecast—Satellites and Spacecraft, 2013.
5. Puig-Suari, Development of the standard CubeSat deployer and a CubeSat-class picosatellite, Proc. Aerospace Conf., p. 347-353, 2001.
6. M. Swartwout, The first one hundred CubeSats: a statistical look, J. Small Satellites 2(2), p. 213-233, 2013.
7. C. Schueler, A. Holmes, HawkEye: CubeSat SeaWiFS. Presented at SPIE Optics + Photonics 2015.
8. C. Schueler, A. Holmes, HawkEye: CubeSat SeaWiFS update. Presented at SPIE Optics + Photonics 2016.
9. C. Schueler, A. Holmes, SeaHawk: CubeSat system engineering. Presented at SPIE Optics + Photonics 2016.
10. T. S. Pagano, R. M. Durham, Moderate Resolution Imaging Spectroradiometer (MODIS), Proc. SPIE 1939, p. 2-17, 1993. doi:10.1117/12.152835