Abstract

The Generic Atmospheric Correction Online Service (GACOS) products for interferometric synthetic aperture radar (InSAR) are widely used near-real-time and global-coverage atmospheric delay products which provide a new approach for the atmospheric correction of repeat-pass InSAR. However, it has not been determined whether these products can improve the accuracy of InSAR deformation monitoring. In this paper, GACOS products were used to correct atmospheric errors in short baseline subset (SBAS)-InSAR. Southern California in the U.S. was selected as the research area, and the effect of GACOS-based SBAS-InSAR was analyzed by comparing with classical SBAS-InSAR results and external global positioning system (GPS) data. The results showed that the accuracy of deformation monitoring was improved in the whole study area after GACOS correction, and the mean square error decreased from 0.34 cm/a to 0.31 cm/a. The improvement of the mid-altitude (15–140 m) point was the most obvious after GACOS correction, and the accuracy was increased by about 23%. The accuracy for low- and high-altitude areas was roughly equal and there was no significant improvement. Additionally, GACOS correction may increase the error for some points, which may be related to the low accuracy of GACOS turbulence data.

Highlights

  • Interferometric synthetic aperture radar (InSAR) is a powerful technique for topographic and ground surface deformation mapping [1,2] which enables all-weather, non-contact, wide spatial coverage with centimeter- or even millimeter-scale monitoring of the study area [3,4,5,6]

  • The results showed that the accuracy of deformation monitoring was improved in the whole study area after Generic Atmospheric Correction Online Service (GACOS) correction, and the mean square error decreased from 0.34 cm/a to 0.31 cm/a

  • GACOS correction may increase the error for some points, which may be related to the low accuracy of GACOS turbulence data

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Summary

Introduction

Interferometric synthetic aperture radar (InSAR) is a powerful technique for topographic and ground surface deformation mapping [1,2] which enables all-weather, non-contact, wide spatial coverage with centimeter- or even millimeter-scale monitoring of the study area [3,4,5,6]. InSAR has been widely used for fine-resolution mapping and other remote sensing applications over the past two decades [7,8,9]. The application of InSAR is limited by atmospheric delay, orbit errors, topographical errors, and so on [10,11]. One of the most intractable limitations is the effect of the atmosphere on repeat-pass InSAR. Researchers have devoted many efforts to removing the effect of atmospheric delay [12,13,14], but the current methods are still vulnerable to poor spatial and temporal resolution and accuracy [15].

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