IEEE Geoscience and Remote Sensing Magazine - December 2022 - 266
of the retrieved SSS, ground truth, and error maps over the
Arctic, Antarctica, with error statistics; the SMOS SSS ground
truth-FMPL-2 ANN SSS scatter plot; and the MAE histogram.
In one overpass, the SSS RMSE was 0.43 practical salinity
unit (PSU), while SMOS SSS maps have a nominal error
of 0.1 PSU every 100 # 100 km and every month. Assuming
that the errors follow a normal distribution and are uncorrelated,
the RMSE averages with the square root of the
amount of data averaged, so homogenizing the revisit times
and spatial resolutions the FMPL-2 SSS RMSE averaged over
one month would be +0.43 PSU/√30 . 0.08 PSU, while
the SMOS SSS RMSE over a 350 # 500-km pixel would be
0.1 PSU//√(3.5 # 5) . 0.024 PSU; that is, the FMPL-2 SSS
RMSE is roughly four times larger than that of SMOS. The
interested reader is referred to [21] for further details.
CONCLUSION
The FSSCat mission and the main scientific results of the
FMPL-2 combined microwave radiometer and GNSS-R payload
onboard the 3Cat-5/A spacecraft have been presented.
A number of climate variables associated to the water
cycle have been presented: SM, downscaled using visible
19-25 November 2020
50° N
60° N
120° W
0.1
0.2
0.3
0.4
0.5
0.6
60° W
(a)
0.1
0.2
0.3
0.4
0.5
0.6
0.1 0.2 0.3 0.4 0.5 0.6
Ground Truth SIT (m)
(c)
10
15
20
25
5
15,000
0°
180°
120° E
(b)
and near-infrared data; SIC, including extent and thickness;
sea surface WS; and sea salinity. FSSCat was the first
ESA Third Party Mission based on CubeSats [22], and all
data are freely available at https://catalogue.nextgeoss.eu/.
The mission was implemented in a record time (1.5 year),
although its launch was delayed one more year due to
Vega 15 explosion and the COVID-19 lockdown of the
Kourou spaceport.
FSSCat has shown the potential of small satellites to
conduct valuable science missions, either as gap fillers between
high-end missions or simply to reduce the revisit
time by forming satellite constellations with slightly worse
performance than full-fledged missions but at a fraction of
the cost (e.g., 3Cat-5/A with FMPL-2 cost +US$1.5 million,
including the launch; SMOS was +US$315 million, and
SMAP was +US$915 million). Because of the mass, volume
and power limitations, the achievable performance cannot
match that of full-fledged high-end missions, but the data
accuracy can be improved by cross calibration with data
from coetaneous large high-end satellites. For example, a
CubeSat-based constellation of eight satellites embarking
with an FMPL-2-like payload would, on a daily basis, allow
19-25 November 2020
0°
320° W
60° E
0.0
0.1
0.2
0.3
0.4
0.5
10,000
5,000
-0.4 -0.2 0 0.2 0.4
Error Prediction SIT (m)
https://catalogue.nextgeoss.eu/
IEEE Geoscience and Remote Sensing Magazine - December 2022
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