Radiometric Comparison within the Sentinel-1 SAR Constellation over a Wide Backscatter Range

Radiometric calibration adjusts the measured pixel intensity to a physical property, the radar cross section (RCS). After calibration, this relationship is defined over the entire backscatter range: from low image power (near noise) up to high reflections (below saturation). Based on a proper radiometric calibration, the measured radar backscatter for the Sentinel-1 synthetic aperture radar (SAR) satellite constellation is validated over a wide backscatter range using different target types. Therefore, the RCS derived from point targets and radar brightness from distributed targets are compared between Sentinel-1A (S-1A) and Sentinel-1B (S-1B) acquisitions over the same observation area for regions where a stable target backscatter is expected for a certain period of time. Low differences (in the order of 0.3 dB) are found between S-1A and S-1B for high and medium backscatter derived from point targets or rainforest regions, but higher differences for low backscattering regions like ice areas and lakes. For comparing radar brightness containing low backscatter targets, an accurate derived noise level has to be taken into account. In addition to the measured lower noise equivalent beta zero (NEBZ) level, higher transmit power was detected for S-1B compared to S-1A. The higher antenna gain of S-1B leads finally to a higher sensitivity for low backscattering areas of S-1B compared to S-1A and explains the found differences.

[1]  A. Coletta,et al.  A Review of the Exploitation of the Operational Mission COSMO-SkyMed: Global Trends (2014-2017) , 2019, Space Policy.

[2]  P. W. Vachon,et al.  Synthetic aperture radar calibration using reference reflectors , 1990 .

[3]  Malcolm Davidson,et al.  GMES Sentinel-1 mission , 2012 .

[4]  Helmut Rott,et al.  The Sentinel-1 Mission: New Opportunities for Ice Sheet Observations , 2015, Remote. Sens..

[5]  Marco Schwerdt,et al.  Monostatic calibration of both TanDEM-X satellites , 2010, 2010 IEEE International Geoscience and Remote Sensing Symposium.

[6]  Paul Lundgren,et al.  On the Synergistic Use of SAR Constellations’ Data Exploitation for Earth Science and Natural Hazard Response , 2016, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[7]  Gerhard Krieger,et al.  Generation and performance assessment of the global TanDEM-X digital elevation model , 2017 .

[8]  Marco Schwerdt,et al.  The DLR Spaceborne SAR Calibration Center , 2017 .

[9]  Joong-Sun Won,et al.  Efficient Thermal Noise Removal for Sentinel-1 TOPSAR Cross-Polarization Channel , 2018, IEEE Transactions on Geoscience and Remote Sensing.

[10]  Andreas Kern,et al.  The future of X-band SAR: TerraSAR-X next generation and WorldSAR constellation , 2013, Conference Proceedings of 2013 Asia-Pacific Conference on Synthetic Aperture Radar (APSAR).

[11]  Claudia Notarnicola,et al.  Multi-temporal and multi-source alpine glacier cover classification , 2017, 2017 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp).

[12]  Konstantinos Papathanassiou,et al.  Pine Forest Height Inversion Using Single-Pass X-Band PolInSAR Data , 2008, IEEE Transactions on Geoscience and Remote Sensing.

[13]  Marco Schwerdt,et al.  The Three-Transponder Method: A Novel Method for Accurate Transponder RCS Calibration , 2014 .

[14]  Bertrand Chapron,et al.  Combined Co- and Cross-Polarized SAR Measurements Under Extreme Wind Conditions , 2017, IEEE Transactions on Geoscience and Remote Sensing.

[15]  Marco Schwerdt,et al.  Absolute Radiometric Calibration of C-Band Transponders with Proven Plausibility , 2014 .

[16]  Marco Schwerdt,et al.  Independent Verification of the Sentinel-1A System Calibration , 2014, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[17]  Nicholas C. Coops,et al.  Virtual constellations for global terrestrial monitoring , 2015 .

[18]  M. Schwerdt,et al.  Radiometric accuracy and stability of sentinel-1A determined using point targets , 2018, International Journal of Microwave and Wireless Technologies.

[19]  Juha Karvonen,et al.  Baltic Sea Ice Concentration Estimation Using SENTINEL-1 SAR and AMSR2 Microwave Radiometer Data , 2016, IEEE Transactions on Geoscience and Remote Sensing.

[20]  Anthony Freeman,et al.  SAR calibration: an overview , 1992, IEEE Trans. Geosci. Remote. Sens..

[21]  Marco Schwerdt,et al.  First TerraSAR-X TOPS Mode Antenna Pattern Measurements Using Ground Receivers , 2013 .

[22]  Gerhard Krieger,et al.  Multistatic sar satellite formations: potentials and challenges , 2005, Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05..

[23]  Walter H. F. Smith,et al.  The Generic Mapping Tools Version 6 , 2019, Geochemistry, Geophysics, Geosystems.

[24]  Marco Schwerdt,et al.  Independent System Calibration of Sentinel-1B , 2017, Remote. Sens..

[25]  Malcolm Davidson,et al.  Sentinel-1 System capabilities and applications , 2014, 2014 IEEE Geoscience and Remote Sensing Symposium.

[26]  Rainer Sandau,et al.  Small satellites for global coverage: Potential and limits , 2010 .

[27]  Marco Schwerdt,et al.  Final TerraSAR-X Calibration Results Based on Novel Efficient Methods , 2010, IEEE Transactions on Geoscience and Remote Sensing.

[28]  Lars M. H. Ulander,et al.  Absolute radiometric calibration of the CCRS SAR , 1991, IEEE Trans. Geosci. Remote. Sens..

[29]  Gordon Farquharson,et al.  The Capella Synthetic Aperture Radar Constellation , 2018, IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium.

[30]  Helko Breit,et al.  Ten Years of TerraSAR-X Operations , 2018, Remote. Sens..

[31]  Helko Breit,et al.  Noise-Related Radiometric Correction in the TerraSAR-X Multimode SAR Processor , 2010, IEEE Transactions on Geoscience and Remote Sensing.

[32]  Dirk Geudtner,et al.  The Sentinel-1 constellation mission performance , 2017, 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

[33]  F. Ulaby,et al.  Handbook of radar scattering statistics for terrain , 1989 .

[34]  Qi Gao,et al.  Synergetic Use of Sentinel-1 and Sentinel-2 Data for Soil Moisture Mapping at 100 m Resolution , 2017, Sensors.

[35]  Marco Schwerdt,et al.  Absolute radiometric calibration of the novel DLR “Kalibri” transponder , 2015, 2015 German Microwave Conference.