Insar Atmospheric Delay Migitigation by Gps; Case Study Izmit Eartquake Interferograms

The Propagation delay when radar signals travel from the troposphere has been one of the major limitations for the applications of high accuracy Interferometric Synthetic Aparture Radar (InSAR). In this GPS data used for defining meteorological effects on radio signals. 1999 Izmit earthquake is chosen for the case study of tropospheric effects on InSAR images according to previous studies. Due to process of GPS data with BERNESE tropospheric delay model gained and compared with ROI_PAC processed interferograms and it can easy figured out that the delay amounts are really reliable. As a result of this study, importance of atmospheric change in Turkey climate will be pointed out using SAR and GPS data integration with meteorological aspects.


INTRODUCTION
Earth sciences are developed in last decades with the development of space technologies especially in space geodesy and remote sensing.Global Navigation Satellite Systems (GPS) and remote sensing sensors are highly affected from these fast developments.As known space geodesy is based on electromagnetic waves and their reflection from earth surface.Variation in the refractive index of the atmosphere causes changes in the electromagnetic waves propagating through it.Therefore corrections of these atmospheric effects should be determined and applied with the assessed measurements.Atmospheric effects grouped in two types; ionospheric and tropospheric effects.Ionospheric effects can be removed by signal combinations during data processing.Tropospheric effects are directly related to troposphere and cannot be removed but can be modeled.The aim this of study is the correction of troposphere effects over Synthetic Aperture Radar (SAR) images and interferograms by using acquired GPS measurements in İzmit, Turkey.Turkey is divided into seven regions due to socio-economical, administrative, climate and natural (soil, vegetation) similarities of related land.İzmit Province (40˚ 45'N 30˚ 01'E) which is in Marmara Region.Marmara has the largest share in production and industry of Turkey.The area is just on the North Anatolian Fault (NAF), which extends from Karliova in Eastern Turkey to the Gulf of Saros in the Northern Aegean Sea, is one of the longest active strike-slip faults in the world with about 1500km length and hit region 2 times with large earthquakes in 17 August and 12 November 1999 with 7.4 and 7.2 Mw.After these earthquakes Ziyadin Çakır and Rob Reilinger worked with the SAR data and publish papers by the help of these papers using InSAR technique for deformation monitoring to get more current insight in Turkey.(Çakir et al., 2003) (Reilinger et al., 2000)

GPS AND SAR DATA
The data for this study are GPS and ERS1/2 tandem SAR images before and after earthquake (12-13 August 1999 and16-17 September 1999).GPS data is gathered form Marmara GPS Network (MAGNET) continuous operated GPS network which is designed and managed by TUBİTAK Marmara Research Center and SAR images are taken from Dr. Ziyadin Çakır (Istanbul Technical University).(Figure 1) Open source software is chosen for image and GPS data analysis.BERNESE software used for troposphere modeling due to capabilities of modeling time interval to get the more   According to these results it can be said that troposphere delays can be really effective on radio signals not only GPS signal but also the RADAR signals.Delay difference amount for tandem imaging days for selected data can be reach up to 20cm to from 14 cm.This results shows us the importance of delay in SAR processing, mainly interferograms can be affected by any kind of tropospheric turbulence which cause errors on height information in the most accurate technique for finding changes in height, InSAR.

CONCLUSION
By taking into the consideration of region characteristics, best fitted delay model for the region will be determined and used in this study.An automatic flow or algorithm will be created for integration of these delays with the SAR images for fast and accurate correction.Tools like ArcGIS or MATLAB will be used for automatic correction flow or a Graphical User Interface (GUI) obtained using MATLAB.
As a result of this study, importance of atmospheric change in Turkey climate will be pointed out using SAR and GPS data integration with meteorological aspects.The importance of CORS networks and densities for atmospheric observations will be evaluated for Turkey.Also it will helpful for further atmospheric and InSAR studies over Turkey and (MAGNET) about potential earthquakes like Istanbul earthquake (predicted as Mw=7).

Figure 1 .
Figure 1.MAGNET and campaign sites 1999 İzmit Earthquake red rectangle shows the ERS image boundary accurate delay model of troposphere with 12 minutes.(Dach, Hugentobler, & Walser, 2009) For SAR analysis ROI_PAC software is used.(Rosen, Hensley, & Peltzer, 2004).GPS data for 17 September 1999 processed by using BERNESE software with 12 minutes interval for tropospheric delay.Every model and mapping function combinations used during processing.The main reason for this process is to produce a data set for deciding for which delay model will be used.A graph produced for 1 hour interval to see the changes, with data which Wet Neill mapping function is used.As shown graph (Figure.2) change in the values of different models are same and the values are close to each other except Hopfield Model.Hopfield delay values are less then the other models.BERNESE processing of GPS data from Marmara Region shows us the variation in tropospheric delays which were considered as not significant for Turkey's atmosphere. 1 hour