Generic Atmospheric Correction Model for Interferometric Synthetic Aperture Radar Observations

Journal of Geophysical Research: Solid Earth - Tập 123 Số 10 - Trang 9202-9222 - 2018
Chen Yu1, Zhenhong Li1, N. T. Penna1, Paola Crippa2,1
1School of Engineering, Newcastle University, Newcastle Upon Tyne, UK
2Department of Civil and Environmental Engineering and Earth Sciences, University of Notre Dame, Notre Dame, IN, USA

Tóm tắt

AbstractFor mapping Earth surface movements at larger scale and smaller amplitudes, many new synthetic aperture radar instruments (Sentinel‐1A/B, Gaofen‐3, ALOS‐2) have been developed and launched from 2014–2017, and this trend is set to continue with Sentinel‐1C/D, Gaofen‐3B/C, RADARSAT Constellation planned for launch during 2018–2025. This poses more challenges for correcting interferograms for atmospheric effects since the spatial‐temporal variations of tropospheric delay may dominate over large scales and completely mask the actual displacements due to tectonic or volcanic deformation. To overcome this, we have developed a generic interferometric synthetic aperture radar atmospheric correction model whose notable features comprise (i) global coverage, (ii) all‐weather, all‐time useability, (iii) correction maps available in near real time, and (iv) indicators to assess the correction performance and feasibility. The model integrates operational high‐resolution European Centre for Medium‐Range Weather Forecasts (ECMWF) data (0.125° grid, 137 vertical levels, and 6‐hr interval) and continuous GPS tropospheric delay estimates (every 5 min) using an iterative tropospheric decomposition model. The model's performance was tested using eight globally distributed Sentinel‐1 interferograms, encompassing both flat and mountainous topographies, midlatitude and near polar regions, and monsoon and oceanic climate systems, achieving a phase standard deviation and displacement root‐mean‐square (RMS) of ~1 cm against GPS over wide regions (250 by 250 km). Indicators describing the model's performance including (i) GPS network and ECMWF cross RMS, (ii) phase versus estimated atmospheric delay correlations, (iii) ECMWF time differences, and (iv) topography variations were developed to provide quality control for subsequent automatic processing and provide insights of the confidence level with which the generated atmospheric correction maps may be applied.

Từ khóa


Tài liệu tham khảo

Béjar‐Pizarro M., 2013, Andean structural control on interseismiccoupling in the North Chile subduction zone, Nature Geoscience, 6, 1

10.1002/2014JB011558

10.1002/2015JB012638

10.1016/j.rse.2015.08.035

10.1029/RS023i006p01023

10.1007/s10291-008-0112-1

10.1002/2015JB012552

10.1256/qj.05.27

10.1029/2005GL025546

10.1016/j.epsl.2013.02.020

10.1029/2001GL013544

10.1029/98GL02112

10.1016/j.jappgeo.2009.03.010

Ehret G., 2000, Low stratospheric water vapor measured by an airborne DIAL, IGARSS 2000. IEEE 2000 International Geoscience and Remote Sensing Symposium, 4, 1462

10.1029/2008GL033659

Emardson T. R. Webb F. H. &Jarlemark P. O. J.(2002).Analysis of water vapor spatial variability using GPS InSAR microwave radiometer and radiosonde data JPL IOM 335–02‐1‐L Jet Propul. Lab. Pasadena Calif.

10.1029/98GL02504

10.1029/2002JB001781

10.1029/2005RG000183

10.1002/2015JB012419

10.1109/36.898661

10.1002/jgrb.50093

10.1029/2000GL008489

10.2151/jmsj.2004.361

Glowacki T. J., 2006, Validation of GPS‐based estimates of integrated water vapour for the Australian region and identification of diurnal variability, Australian Meteorological Magazine, 55, 131

Hanssen R.(1998).Atmospheric heterogeneities in ERS tandem SAR interferometry.

10.1016/j.tecto.2011.10.013

10.1029/2004GL021737

10.1029/RS006i003p00357

10.1002/2015JB012737

10.1029/2011GL048757

10.1002/2014GL062222

10.1007/PL00012883

10.1002/2016GL071320

10.1109/TGRS.2009.2019125

10.1029/2005JB003711

10.1080/01431160802562172

10.1029/2003JD003372

10.1080/01431160500307342

10.1029/2004JB003446

10.1111/j.1365-246X.2012.05432.x

10.1007/BF02899825

Lofgren J. S. Bjorndahl F. Moore A. W. Webb F. H. Fielding E. J. &Fishbein E. F.(2010).Tropospheric correction for InSAR using interpolated ECMWF data and GPS Zenith Total Delay from the Southern California Integrated GPS Network in2010 IEEE International Geoscience and Remote Sensing Symposium pp. 4503–4506 IEEE.

10.1109/TGRS.2004.836792

10.1038/369227a0

10.1109/TGRS.2011.2157511

10.1029/2005JB004012

Petit G. &Luzum B.(2010).IERS Conventions (2010) (IERS Technical Note 36) Frankfurt am Main: Verlag des Bundesamts für Kartographie und Geodäsie 2010 (179 pp.).

10.1029/97JD02400

10.1016/j.rse.2013.10.016

10.1016/B978-044452748-6.00059-6

Tachikawa T., 2011, ASTER Global Digital Elevation Model version 2—Summary of validation results

10.1029/2002GL015159

10.1029/2005JD006215

10.1016/S1474-7065(02)00013-X

10.1002/2013EO450001

10.1029/98JB02794

10.1016/j.rse.2017.10.038

10.1002/2016JD025753

10.1029/96JB03804

Thông tin
Thông tin xuất bản

Journal of Geophysical Research: Solid Earth

Tập 123 Số 10

9202-9222

Thông tin tác giả