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Performance Evaluation of Phase and Weather-Based Models in Atmospheric Correction With Sentinel-1Data: Corvara Landslide in the Alps
- Source :
- IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 1332-1346 (2020)
- Publication Year :
- 2020
- Publisher :
- IEEE, 2020.
-
Abstract
- Phase delay caused by atmospheric effects due to spatial and temporal variations of pressure, temperature, and water vapor content is one of the major error sources in estimation of ground deformation by interferometric synthetic aperture radar (InSAR>). Therefore, accuracy of ground deformation measurement is highly contingent on the robustness of the atmospheric correction techniques. These techniques rely either on auxiliary data such as numerical weather models (NWMs) or on the analysis of the interferometric phase itself. The accuracy in phase delays estimation of mixing effects of turbulent delay in atmosphere and stratified delay in lower troposphere is a key factor in determination of performance of each technique. Hence, the performance evaluation of the techniques is required in order to assess their potentials, robustness, and limitations. This article analyzes and evaluates the performance of four NWMs (i.e., ERA-Interim, ERA5, MERRA2, and WRF) and two phase-based techniques (i.e., linear and power law) to estimate phase delay using Sentinel-1A/B data over the Corvara landslide located in the Alps. The GPS data and GACOS product were used to validate the results. We generally found that ERA5 outperformed among other weather models with a phase standard deviation reduction of 77.7% (with respect to the InSAR phase), a correlation coefficient of 0.86 (between InSAR phase and estimated tropospheric delay) and a less significant error in the velocity estimation of the landslide.
- Subjects :
- Atmospheric Science
010504 meteorology & atmospheric sciences
Correlation coefficient
GPS
Geophysics. Cosmic physics
0211 other engineering and technologies
02 engineering and technology
Atmospheric model
01 natural sciences
Troposphere
InSAR
Interferometric synthetic aperture radar
Computers in Earth Sciences
TC1501-1800
021101 geological & geomatics engineering
0105 earth and related environmental sciences
Remote sensing
Group delay and phase delay
QC801-809
phase delay
Atmospheric correction
Numerical weather prediction
phase and weather-based models
Ocean engineering
Weather Research and Forecasting Model
Environmental science
Sentinel-1
Subjects
Details
- Language :
- English
- ISSN :
- 21511535
- Volume :
- 13
- Database :
- OpenAIRE
- Journal :
- IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Accession number :
- edsair.doi.dedup.....7aea8b3a7a46bf2e982ae726ac765ba1