Toggle Main Menu Toggle Search

Open Access padlockePrints

Advanced InSAR atmospheric correction: MERIS/MODIS combination and stacked water vapour models

Lookup NU author(s): Professor Zhenhong Li


Full text for this publication is not currently held within this repository. Alternative links are provided below where available.


A major source of error for repeat-pass Interferometric Synthetic Aperture Radar (InSAR) is the phase delay in radio signal propagation through the atmosphere (especially the part due to tropospheric water vapour). Based on experience with the Global Positioning System (GPS)/Moderate Resolution Imaging Spectroradiometer (MODIS) integrated model and the Medium Resolution Imaging Spectrometer (MERIS) correction model, two new advanced InSAR water vapour correction models are demonstrated using both MERIS and MODIS data: (1) the MERIS/MODIS combination correction model (MMCC); and (2) the MERIS/MODIS stacked correction model (MMSC). The applications of both the MMCC and MMSC models to ENVISAT Advanced Synthetic Aperture Radar (ASAR) data over the Southern California Integrated GPS Network (SCIGN) region showed a significant reduction in water vapour effects on ASAR interferograms, with the root mean square (RMS) differences between GPS- and InSAR-derived range changes in the line-of-sight (LOS) direction decreasing from ,10mm before correction to ,5mm after correction, which is similar to the GPS/MODIS integrated and MERIS correction models. It is expected that these two advanced water vapour correction models can expand the application of MERIS and MODIS data for InSAR atmospheric correction. A simple but effective approach has been developed to destripe Terra MODIS images contaminated by radiometric calibration errors. Another two limiting factors on the MMCC and MMSC models have also been investigated in this paper: (1) the impact of the time difference between MODIS and SAR data; and (2) the frequency of cloud-free conditions at the global scale.

Publication metadata

Author(s): Li Z, Fielding E, Cross P, Preusker R

Publication type: Article

Publication status: Published

Journal: International Journal of Remote Sensing

Year: 2009

Volume: 30

Issue: 13

Pages: 3343-3363

Online publication date: 22/07/2009

ISSN (print): 0143-1161

ISSN (electronic): 1366-5901

Publisher: Taylor & Francis


DOI: 10.1080/01431160802562172


Altmetrics provided by Altmetric