TY - JOUR
T1 - A review of methods for mitigating ionospheric artifacts in differential SAR interferometry
AU - Zhang, Bochen
AU - Zhu, Wu
AU - Ding, Xiaoli
AU - Wang, Chisheng
AU - Wu, Songbo
AU - Zhang, Qin
N1 - Funding Information:
This work was supported by the National Key Research and Development Program of China ( 2020YFC1512001 ), the Guangdong Basic and Applied Basic Research Foundation (No. 2021A1515011427 ), the Research Grants Council of the Hong Kong Special Administrative Region (Projects PolyU 152232/17E , PolyU 152164/18E and PolyU 152233/19E ), the National Natural Science Foundation of China (Grants 41790445 , 41974006 , 42074040 and 41941019 ), the Shenzhen Scientific Research and Development Funding Program (Nos. 20200807110745001 , KQJSCX20180328093453763 and 20200812164904001 ), the Department of Education of Guangdong ( 218KTSCX196 ), the Fundamental Research Funds for the Central Universities ( 300102269207 ), the Research Institute for Sustainable Urban Development (RISUD) (BBWB), and the Innovation and Technology Fund of Hong Kong ( ITP/019/20LP ). The authors would like to thank the Japan Aerospace Exploration Agency (JAXA) for providing the ALOS PALSAR and ALOS-2 PALSAR-2 data under the RA6 PI Projects PI3380 and PI3232, and EO-RA2 Project ER2A2N040. Some of the ALOS PALSAR data were downloaded from the Alaska Satellite Facility (ASF) Distributed Active Archive Center (DAAC) website ( https://vertex.daac.asf.alaska.edu/ ) and are copyrighted to JAXA/METI. Some of the figures were generated by Generic Mapping Tools (GMT 5.2.1) software ( http://gmt.soest.hawaii.edu ).
Funding Information:
This work was supported by the National Key Research and Development Program of China (2020YFC1512001), the Guangdong Basic and Applied Basic Research Foundation (No. 2021A1515011427), the Research Grants Council of the Hong Kong Special Administrative Region (Projects PolyU 152232/17E, PolyU 152164/18E and PolyU 152233/19E), the National Natural Science Foundation of China (Grants 41790445, 41974006, 42074040 and 41941019), the Shenzhen Scientific Research and Development Funding Program (Nos. 20200807110745001, KQJSCX20180328093453763 and 20200812164904001), the Department of Education of Guangdong (218KTSCX196), the Fundamental Research Funds for the Central Universities (300102269207), the Research Institute for Sustainable Urban Development (RISUD) (BBWB), and the Innovation and Technology Fund of Hong Kong (ITP/019/20LP). The authors would like to thank the Japan Aerospace Exploration Agency (JAXA) for providing the ALOS PALSAR and ALOS-2 PALSAR-2 data under the RA6 PI Projects PI3380 and PI3232, and EO-RA2 Project ER2A2N040. Some of the ALOS PALSAR data were downloaded from the Alaska Satellite Facility (ASF) Distributed Active Archive Center (DAAC) website (https://vertex.daac.asf.alaska.edu/) and are copyrighted to JAXA/METI. Some of the figures were generated by Generic Mapping Tools (GMT 5.2.1) software (http://gmt.soest.hawaii.edu).
Publisher Copyright:
© 2021 Editorial office of Geodesy and Geodynamics
PY - 2022/3
Y1 - 2022/3
N2 - Interferometric synthetic aperture radar (InSAR) has been widely used to measure ground displacements related to geophysical and anthropic activities over the past three decades. Satellite SAR systems use microwave signals that interact with the ionosphere when they travel through it during the imaging processes. In this context, ionospheric variations can significantly contaminate SAR imagery, which in turn affects spaceborne InSAR measurements. This bias also leads to a decrease in the coherence and accuracy of InSAR measurements, especially for the low-frequency SAR systems. In this paper, we give an overview of the latest methods for mitigating the ionospheric contributions in InSAR, including Faraday rotation method, azimuth shift method, and range split-spectrum method, and only focus on the single pair of InSAR interferograms. The current challenges and future perspectives are outlined at the end of this paper.
AB - Interferometric synthetic aperture radar (InSAR) has been widely used to measure ground displacements related to geophysical and anthropic activities over the past three decades. Satellite SAR systems use microwave signals that interact with the ionosphere when they travel through it during the imaging processes. In this context, ionospheric variations can significantly contaminate SAR imagery, which in turn affects spaceborne InSAR measurements. This bias also leads to a decrease in the coherence and accuracy of InSAR measurements, especially for the low-frequency SAR systems. In this paper, we give an overview of the latest methods for mitigating the ionospheric contributions in InSAR, including Faraday rotation method, azimuth shift method, and range split-spectrum method, and only focus on the single pair of InSAR interferograms. The current challenges and future perspectives are outlined at the end of this paper.
KW - Azimuth pixel shift
KW - Faraday rotation
KW - InSAR
KW - Ionospheric artifacts
KW - Range split-spectrum
UR - http://www.scopus.com/inward/record.url?scp=85123000668&partnerID=8YFLogxK
U2 - 10.1016/j.geog.2021.12.001
DO - 10.1016/j.geog.2021.12.001
M3 - Journal article
AN - SCOPUS:85123000668
SN - 2589-0573
VL - 13
SP - 160
EP - 169
JO - Geodesy and Geodynamics
JF - Geodesy and Geodynamics
IS - 2
ER -