Abstract
Near Real Time (minutes or hours) radar imaging of ground targets located anywhere on an hemi- sphere, with or without interferometric coherence with previous passes, can be obtained with different solutions that are considered here. Geosynchronous systems, from the one proposed in 1978 by Tomiyasu to telecom satellite compatible solutions, and Low, Medium or Geosynchronous Earth Orbit constellations are discussed. Their benefits, problems, and sizes are briefly summarized, and a comparative table is presented. If interfer-ometric coherence is requested, continuous imaging is obtained only if a very wide geostationary aperture is progressively scanned, eventually using a MIMO (Multiple Input Multiple Output) combination of several slow librating small satellites. Instead, fast librating, strip mapping, large geosynchronous satellites do provide high resolution imaging, but interferometry (and thus coherent change detection) is achievable only after a minimum delay of 12 h, i.e., when the target comes in sight without need to squint the antenna. Hence, both complex and simple systems reach full resolution interferometric imaging and thus coherent change detection capability only after 12 h.
Similar content being viewed by others
References
Tomiyasu K, Pacelli J L. Synthetic aperture radar imaging from an inclined geosynchronous orbit. IEEE Trans Geosci Remote Sens, 1983, GE-21: 324–329
Madsen S, Edelstein W, DiDomenico L D, et al. A geosynchronous synthetic aperture radar; for tectonic mapping, disaster management and measurements of vegetation and soil moisture. In: Proceedings of IEEE International Geoscience and Remote Sensing Symposium, Sydney, 2001. 1: 447–449
Prati C, Rocca F, Giancola D, et al. Passive system reusing backscattered digital audio broadcasting signals. IEEE Trans Geosci Remote Sens, 1998, 36: 197
Edelstein W N, Madsen S N, Moussessian A, et al. Concepts and technologies for synthetic aperture radar from MEO and geosynchronous orbits. Proc SPIE, 2005, 5659, doi: 10.1117/12.578989
Hu C, Li Y H, Dong X C, et al. Optimal data acquisition and height retrieval in repeat-track geosynchronous SAR interferometry. Remote sens, 2015, 7: 13367–13389
Hu C, Li Y H, Dong X C, et al. Performance analysis of L-band geosynchronous SAR imaging in the presence of ionospheric scintillation. IEEE Trans Geosci Remote Sens, 2017, 55: 159–172
Dong X C, Hu C, Tian Y, et al. Experimental study of ionospheric impacts on geosynchronous SAR using GPS signals. IEEE J Sel Top Appl Earth Observ Remote Sens, 2016, 9: 2171–2183
Zhang Q J, Gao G T, Gao W J, et al. 3D orbit selection for regional observation GEO SAR. Neurocomputing, 2014, 151: 692–699
Hu C, Long T, Zeng T, et al. The accurate focusing and resolution analysis method in geosynchronous SAR. IEEE Trans Geosci Remote Sens, 2011, 49: 3548–3563
Hu C, Tian Y, Yang X P, et al. Background ionosphere effects on geosynchronous SAR focusing: theoretical analysis and verification based on the BeiDou navigation satellite system (BDS). IEEE J Sel Top Appl Earth Observ Remote Sens, 2016, 9: 1143–1162
GeoSTARe. ESA contract N 40001085494/13/NL/CT. Study on utilisation of future telecom satellites for Earth observations. 2013
Monti Guarnieri A, Bombacib O, Catalanob T F, et al. ARGOS: a fractioned geosynchronous SAR. Acta Astronaut, 2015. In press
Monti Guarnieri A, Broquetas A, Recchia A, et al. Advanced radar geosynchronous observation system: ARGOS. IEEE Geosci Remote Sens Lett, 2015, 12: 1406–1410
Recchia A, Monti Guarnieri A, Broquetas A et al. Impact of scene decorrelation on geosynchronous SAR data focusing, geoscience and remote sensing. IEEE Trans Geosci Remote Sens, 2016, 54: 1635–1646
D’Aria D, Leanza A, Monti-Guarnieri A, et al. Decorrelating targets: models and measures. In: Proceedings of IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Beijing, 2016. 3194–3197
Recchia A, Monti Guarnieri A, Belotti M, et al. Demonstrative geosynchronous SAR products affected by clutter and APS decorrelation. In: Proceedings of IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Milan, 2015. 1265–1268
Pichelli E, Ferretti R, Cimini D, et al. InSAR water vapor data assimilation into mesoscale model MM5: technique and pilot study. IEEE J Sel Top Appl Earth Observ Remote Sens, 2015, 8: 3859–3875
Wadge G, Monti Guarnie A, Hobbs S E, et al. Potential atmospheric and terrestrial applications of a geosynchronous radar. In: Proceedings of IEEE International Geoscience and Remote Sensing Symposium, Québec, 2014. 946–949
Bevis M, Businger S, Chiswell S, et al. GPS meteorology: mapping zenith wet delays onto precipitable water. J Appl Meteorol Climatol, 1994, 33: 379–386
Sato K, Realini E, Tsuda T, et al. A high-resolution, precipitable water vapor monitoring system using a dense network of GNSS receivers. Journal Disaster Res, 2013, 8: 37–47
Cheng S L, Perissin D, Lin H, et al. Atmospheric delay analysis from GPS meteorology and InSAR APS. J Atmos Sol-Terr Phys, 2012, 86: 71–82
Bock Y, Wdowinski S, Ferretti A, et al. Recent subsidence of the Venice Lagoon from continuous GPS and interfero- metric synthetic aperture radar. Geochem Geophys Geosyst, 2012, doi: 10.1029/2011GC003976
Perler D. Water vapor tomography using global navigation satellite systems. Dissertation for the Doctoral Degree. Swiss Federal Institute of Technology Zurich, 2011. http://dx.doi.org/10.3929/ethz-a-006875504
Awange J. Environmental Monitoring using Global Navigation Satellite Systems. Berlin/Heidelberg: Springer-Verlag, 2012
Onn F, Zebker H. Correction for interferometric synthetic aperture radar atmospheric phase artifacts using time series of zenith wet delay observations from a GPS network. J Geophys Res, 2006, 111, doi:10.1029/2005JB004012.
De Zan F, Zonno M, López-Dekker P, et al. Phase inconsistencies and water effects in SAR interferometric stacks. In: Proceedings of Fringe 2015 Workshop, Frascati, 2015
Entekhabi D, Njoku E G, O’Neill P E, et al. The soil moisture active passive (SMAP) mission. Proc IEEE, 2010, 98: 704–716
Rocca F, Rucci A, Ferretti A, et al. Advanced InSAR interferometry for reservoir monitoring. First Break, 2013, 31: 77–85
M. L’Abbate, Germani C, Torre A, et al. Compact SAR and micro satellite solutions for Earth observation. In: Proceedings of 31st Space Symposium on Technical Track, Colorado, 2015
Ferretti A. Satellite InSAR Data: Reservoir Monitoring from Space (EET 9). EAGE Publications, 2014
Bruno D, Hobbs S. Radar imaging from geosynchronous orbit: temporal decorrelation aspects. IEEE Trans Geosci Remote Sens, 2010, 48: 2924–2929
Belotti M, Broquetas A, Leanza A, et al. An efficient method for the azimuth compression of geosynchronous SAR data through sub-apertures processing. In: Proceedings of IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Melbourne, 2013. 2047–2050
Lombardo P, Greco M, Gini F, et al. Impact of clutter spectra on radar performance prediction. IEEE Trans Aerosp Electron Syst, 2001, 37: 1022–1038
Rodon J R, Broquetas A, Monti Guarnieri A, et al. Geosynchronous SAR focusing with atmospheric phase screen retrieval and compensation. IEEE Trans Geosci Remote Sens, 2013, 51: 4397–4404
Guarnieri A M, Tebaldini S, Rocca F, et al. GEMINI: geosynchronous SAR for Earth monitoring by interferometry and imaging. In: Proceedings of IEEE International Geoscience and Remote Sensing Symposium, Munich, 2012. 210–213
Chen X L, Guan J, Huang Y, et al. Radon-linear canonical ambiguity function-based detection and estimation method for marine target with micromotion. IEEE Trans Geosci Remote Sens, 2015, 53: 2225–2240
Author information
Authors and Affiliations
Corresponding author
Additional information
Conflict of interest The authors declare that they have no conflict of interest.
Rights and permissions
About this article
Cite this article
Monti Guarnieri, A., Rocca, F. Options for continuous radar Earth observations. Sci. China Inf. Sci. 60, 060301 (2017). https://doi.org/10.1007/s11432-016-9067-7
Received:
Accepted:
Published:
DOI: https://doi.org/10.1007/s11432-016-9067-7