Assessment of Radiometer Calibration With GPS Radio Occultation for the MiRaTA CubeSat Mission

Marinan, Anne; Cahoy, Kerri; Bishop, Rebecca; Lui, Susan Seto; Mulligan, T.; Blackwell, William J.; Leslie, R. Vincent; Osaretin, Idahosa; Shields, M.

doi:10.1109/jstars.2016.2598798

Cited by 13 publications

(3 citation statements)

References 14 publications

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“…CubeSat technology demonstration efforts, emerging from collaborations between industry, government and research, have also presented a range of sensors and systems capable of retrieving variables pertinent to hydrological investigations. Beyond providing enhanced multi-spectral visible and near infrared imaging, various CubeSat proposals include a tri-band microwave radiometer and GPS radio occultation sensor to profile atmospheric water vapor and cloud ice [Marinan et al, 2016], a prototype Ka band radar system for improved rainfall and weather forecasting [Peral et al, 2015], and a trio of systems designed to advance the next generation of atmospheric infrared sounders [Pagano, 2017]. Uncooled microbolometers have been proposed for field-scale thermal infrared sensing [Puschell and Masini, 2014], advancing the retrieval potential of surface temperature and radiation budget components.…”

Section: A New Paradigm In Earth Observationmentioning

confidence: 99%

CubeSats in Hydrology: Ultrahigh‐Resolution Insights Into Vegetation Dynamics and Terrestrial Evaporation

McCabe

Aragon

Mascaro

2017

Water Resources Research

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Satellite‐based remote sensing has generally necessitated a trade‐off between spatial resolution and temporal frequency, affecting the capacity to observe fast hydrological processes and rapidly changing land surface conditions. An avenue for overcoming these spatiotemporal restrictions is the concept of using constellations of satellites, as opposed to the mission focus exemplified by the more conventional space‐agency approach to earth observation. Referred to as CubeSats, these platforms offer the potential to provide new insights into a range of earth system variables and processes. Their emergence heralds a paradigm shift from single‐sensor launches to an operational approach that envisions tens to hundreds of small, lightweight, and comparatively inexpensive satellites placed into a range of low earth orbits. Although current systems are largely limited to sensing in the optical portion of the electromagnetic spectrum, we demonstrate the opportunity and potential that CubeSats present the hydrological community via the retrieval of vegetation dynamics and terrestrial evaporation and foreshadow future sensing capabilities.

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Section: A New Paradigm In Earth Observationmentioning

confidence: 99%

CubeSats in Hydrology: Ultrahigh‐Resolution Insights Into Vegetation Dynamics and Terrestrial Evaporation

McCabe

Aragon

Mascaro

2017

Water Resources Research

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“…The L-band radiometer in [4] also uses raw dataloggers for future processing, and the power consumption is approximately 10 W, limiting the flight time. Another example is the miniaturized multiband radiometer for cubesats for the MiRaTA project [5] being developed by MIT and MIT Lincoln Laboratories. The system will retrieve data in three bands: V-band (50-57 GHz), G-band (175-191 GHz) and G-band (205 GHz), and will be used to develop accurate weather forecasting models.…”

Section: Introductionmentioning

confidence: 99%

A Power and Performance Study of CompactL-Band Total Power Radiometers for UAV Remote Sensing Based in the Processing on ZYNQ and ARM Architectures

Romo¹,

Rodríguez-Solís²,

Reyes³

et al. 2022

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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This paper presents a study on the power consumption and performance analysis of a small, portable, and ultra-low power total power L-band radiometer. The study explores two processing architectures: the ZYNQ 7010 and the ARM A8 embedded microprocessor. The processing algorithm based in C++ was tested for different clock frequencies, ADC sampling speeds, and sizes of the ADC buffer. To reduce the power consumption and the algorithm execution time, high-level and system-level optimizations, along with fixed-point Q(16,16) data representation, were applied to the main code running on LINUX Debian V8. In the case with the ZYNQ 7010, the optimizations had no notable impact on reducing power or execution time in comparison with the ARM A8, where significant variations were measured, showing a tradeoff between power consumption and algorithm performance that limits the processing capability and the system flight time. The ZYNQ 7010 runs the algorithm faster, but the power consumption is higher than the ARM A8. Using the fixed-point Q(16,16) implementation reduced the power consumption and the execution time in both architectures.Based on these results, we developed a heuristic methodology to minimize power consumption and increase the performance. Energy consumption savings for the radiometer during 20 minutes of flight was 48%. The size of the radiometer was reduced to 30cm x 30cm x 10cm, with a weight of 1.36 kg, (3 lb) allowing the system be carried by small drones. The results were validated measuring salinity at two locations in Western Puerto Rico.

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“…Beyond that, ionosphere also affects L-band synthetic aperture radar (SAR) data [17][18][19], GNSS-reflectometry from space and satellite altimeter data [20][21][22]. Moreover, a growing number of microsatellites gaining broad applications need ionospheric correction with regards to calibration of remote sensing [23][24][25][26].…”

Section: Introductionmentioning

confidence: 99%

Improved Modeling of Global Ionospheric Total Electron Content Using Prior Information

et al. 2018

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Abstract:The Ionosphere Working Group of the International GNSS Service (IGS) has been a reliable source of global ionospheric maps (GIMs) since 1998. Modeling of the global ionospheric total electron content (TEC) is performed daily by several Ionosphere Associate Analysis Centers (IAACs). Four IAACs (CODE, ESA, CAS and WHU) use the spherical harmonic (SH) expansion as their primary method for modeling GIMs. The IAACs generally solve a normal equation to obtain the SH coefficients and Differential Code Biases (DCBs) of satellites and receivers by traditional least-squares estimation (LSE) without any prior knowledge. In this contribution, an improved method is proposed and developed for global ionospheric modeling based on utilizing prior knowledge. Prior values of SH coefficients and DCBs of satellites and receivers, as well as the variance factor and covariance matrix, could be obtained from the ionospheric modeling on the previous day. The parameters can subsequently be updated through GNSS measurements to achieve higher accuracy. Comparisons are carried out between WHU products based either on priori information or original LSE and IGS final products, other IAAC products, and JASON data for the year 2014. The results indicate that there is improved consistency between WHU GIMs and IGS final GIMs, other IAAC products, and JASON data, particularly in comparison with ESA and UPC products, with the probabilities of achieving better consistency with these products exceeding 95%. Moreover, WHU-produced DCBs of satellites also have slightly improved consistency with IGS final GIMs and IAAC products.

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Assessment of Radiometer Calibration With GPS Radio Occultation for the MiRaTA CubeSat Mission

Cited by 13 publications

References 14 publications

CubeSats in Hydrology: Ultrahigh‐Resolution Insights Into Vegetation Dynamics and Terrestrial Evaporation

CubeSats in Hydrology: Ultrahigh‐Resolution Insights Into Vegetation Dynamics and Terrestrial Evaporation

A Power and Performance Study of CompactL-Band Total Power Radiometers for UAV Remote Sensing Based in the Processing on ZYNQ and ARM Architectures

Improved Modeling of Global Ionospheric Total Electron Content Using Prior Information

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