[Home ] [Archive]   [ فارسی ]  
:: Main :: About :: Current Issue :: Archive :: Search :: Submit :: Contact ::
Main Menu
Home::
Journal Information::
Articles archive::
For Authors::
For Reviewers::
Registration::
Contact us::
Site Facilities::
::
Search in website

Advanced Search
..
Receive site information
Enter your Email in the following box to receive the site news and information.
..
:: Volume 8, Issue 4 (3-2021) ::
jgit 2021, 8(4): 81-101 Back to browse issues page
Study of soil moisture change effects on L-band DInSAR phase
Sadegh Ranjbar , Mehdi Akhoondzadeh *
University of Tehran
Abstract:   (2214 Views)
The Differential Synthetic Aperture Radar Interferometry (DInSAR) technique is recognized as a potential remote sensing tool for detecting ground surface displacements with less than a centimetre accuracy. The surface soil moisture changes ( ) during the time between the two images as an effective parameter on interferometry phase ), leads to incorrect calculation of  ground  movement  .   In this research, the amount and the way that   affects  on  wheat, rapeseed, weed, pea and idle land fields have been investigated empirically using  a regression model.  To do this investigation,  airborne data UAVSAR (L-band) along with ground-based data in the CanEx-SM10 campaign in 2010 were used. According to the scattergraphs between  and , and observing a direct and approximately linear relationship between them, some hypotheses were taken into consideration in order to use a regression modeling . Comparing the estimated 𝜑 using the calibrated regression model and calculated 𝜑 from the interferometry technique shows that the model provided the best results for the bare field in VV and HH polarizations (RMSE) of 0.3 to 0.6 rad and R2 of 69% to 72%. In general, the results of the regression model showed that without other factors’ effects on , this parameter can be modelled  based on a regression function in bare fields. The model also provided acceptable results in vegetated fields (RMS of 0.6 to 0.99 rad and R2 of 40% to 55% depending on the different vegetation types and different polarizations). Comparing polarizations,  fluctuations in co-polarizations (HH and VV) showed a higher correlation with . Consequently, φ is directly affected by , and significant changes  in  brings about a considerable error in displacement estimation.
Keywords: DInSAR, phase, temporal decorrelation, surface soil moisture change.
Full-Text [PDF 2261 kb]   (759 Downloads)    
Type of Study: Research | Subject: RS
Received: 2020/12/24 | Accepted: 2021/04/17 | Published: 2021/04/20
Send email to the article author



XML   Persian Abstract   Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Ranjbar S, Akhoondzadeh M. Study of soil moisture change effects on L-band DInSAR phase. jgit 2021; 8 (4) :81-101
URL: http://jgit.kntu.ac.ir/article-1-811-en.html


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 8, Issue 4 (3-2021) Back to browse issues page
نشریه علمی-پژوهشی مهندسی فناوری اطلاعات مکانی Engineering Journal of Geospatial Information Technology
Persian site map - English site map - Created in 0.05 seconds with 36 queries by YEKTAWEB 4645