Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ DigitalCommons@USUarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
DigitalCommons@USU
Other literature type . 2022
Data sources: DigitalCommons@USU

Snooping Around: Observation Planning for the Signals of Opportunity P-Band Investigation (SNOOPI)

Authors: Mansell, Justin; Rivera, Elisa; Kim, Seho; Nold, Benjamin R.; Garrison, James L.; Vega, Manuel A.; Raymond, Juan C.; +5 Authors

Snooping Around: Observation Planning for the Signals of Opportunity P-Band Investigation (SNOOPI)

Abstract

Launching October 2022, the SigNals Of Opportunity P-band Investigation (SNOOPI) is a 6U CubeSat dedicated to demonstrating spaceborne remote sensing of root zone soil moisture and snow water equivalent using signals of opportunity. P-band (240-500 MHz) frequencies are required to penetrate dense vegetation or snow and into the top 200 cm of soil, but this band is heavily subscribed. Rather than transmitting its own signal SNOOPI will observe reflected signals from the U.S. Navy’s Mobile User Objective System satellites. This makes planning observations challenging. The point of reflection is a function of both the transmitter and receiver satellite positions as well as terrain. The direct signal must be observed simultaneously on the same antenna pattern with sufficient gain. Ionospheric delay must also be accounted for. To satisfy these requirements and maintain a cadence of one observation per day, the SNOOPI science operations center at Purdue University has developed custom software for scheduling activities onboard the satellite. The software is highly automated, involving the user only in the definition of observation targets, priorities, and giving final approval to the proposed schedule. Orbit, attitude, power, communication, memory, and observation constraints are handled by a combination of linear programming and pattern search optimization methods. The purpose of this paper is to describe the challenges of scheduling observations for a signals of opportunity mission and illustrate how they were solved for SNOOPI.

Country
United States
Related Organizations
Keywords

space detection, remote sensing, SNOOPI, CubeSat

18 references, page 1 of 2

[1] Space Studies Board, Thriving on Our Changing Planet. A Decadal Strategy for Earth Observation from Space. Washington, D.C.: National Academies Press, Dec. 2018. doi:10.17226/ 24938.

[2] ESA, “Report for mission selection: Biomass,” Tech. Rep. ESA SP-132, European Space Agency, 2012.

[3] D. Entekhabi, S. Yueh, P. O'Neill, K. Kellogg, A. Allen, R. Bindlish, M. Brown, S. Chan, A. Colliander, and W. Crow, “SMAP handbook: Mapping soil moisture and freeze/thaw from space,” Tech. Rep. https: //smap.jpl.nasa.gov/system/internal_ resources/details/original/178_SMAP_ Handbook_FINAL_1_JULY_2014_Web.pdf, NASA Jet Propulsion Laboratory, 2014. Accessed June 7, 2022.

[4] C. Ruf, S. Asharaf, R. Balasubramaniam, S. Gleason, T. Lang, D. McKague, D. Twigg, and D. Waliser, “In-orbit performance of the constellation of CYGNSS hurricane satellites,” Bulletin of the American Meteorological Society, vol. 100, no. 10, pp. 2009 - 2023, 2019.

[5] J. L. Garrison, Y.-C. Lin, B. Nold, J. R. Piepmeier, M. A. Vega, M. Fritts, C. F. duToit, and J. Knuble, “Remote sensing of soil moisture using P-band signals of opportunity (SoOp): Initial results,” in IGARSS, pp. 4158-4161, IEEE, July 2017. doi:10.1109/IGARSS.2017. 8127917.

[6] J. L. Garrison, B. Nold, Y.-C. Lin, G. Pignotti, J. R. Piepmeier, M. Vega, M. Fritts, C. DuToit, and J. Knuble, “Recent results on soil moisture remote sensing using P-band signals of opportunity,” in ICEAA, pp. 1604-1607, IEEE, Sep. 2017. doi:10.1109/ICEAA.2017.8065595.

[7] R. Shah, X. Xu, S. Yueh, C. S. Chae, K. Elder, B. Starr, and Y. Kim, “Remote sensing of snow water equivalent using P-band coherent reflection,” IEEE Geosci. Remote Sens. Lett., vol. 14, pp. 309-313, March 2017. doi:10.1109/LGRS. 2016.2636664.

[8] T. Jackson, A. Colliander, J. Kimball, R. Reichle, C. Derksen, W. Crow, D. Entekhabi, P. O'Neill, and E. Njoku, “Soil moisture active passive mission science data calibration and validation plan,” Tech. Rep. D-52544, NASA Jet Propulsion Laboratory, March 2014.

[9] NASA Jet Propulsion Laboratory, “Cal/- val partners.” https://smap.jpl.nasa.gov/ science/validation/calvalpartners/. Online. Accessed June 7, 2022.

[10] J. Piepmeier, M. Vega, M. Fritts, C. Du Toit, J. Knuble, Y.-C. Lin, B. Nold, and J. Garrison, “The radio frequency environment at 240-270 MHz with application to signal-of-opportunity remote sensing,” in IGARSS, July 2017. doi:10. 1109/IGARSS.2017.8127189.

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
  • citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
    Powered byBIP!BIP!
Powered by OpenAIRE graph
Found an issue? Give us feedback
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Related to Research communities
Assessing the socio-economic impact of digitalisation in rural areas