Suitability of Different Observables and Polarizations for Dinsar-based Soil Moisture Estimation

نویسندگان

  • Simon Zwieback
  • Irena Hajnsek
  • Scott Hensley
چکیده

The mapping of soil moisture at field scales can potentially be achieved by the remote sensing technique differential interferometry, or DInSAR. Its signals have been shown to be sensitive to soil moisture changes. We analyse the suitability for this task of three DInSAR observables: the phase φ, the coherence |γ| and the phase triplets Ξ. By inverting an electromagnetic scattering model, we obtain median correlations between the estimated and the in-situ measured soil moisture time series of 0.86 for the HH phase φHH , 0.85 for the coherence |γHH |, and 0.78 for the phase triplets ΞHH . The phase observable is also sensitive to deformations: these predominantly impact the phase in a way similar to soil moisture changes, thus rendering the separation difficult, e.g. for providing corrections for deformation studies. The other two observables are not affected by deformations, but turn out to be less robust and insensitive to certain temporal soil moisture variations. In the absence of deformations the phase is thus the most promising DInSAR observables for soil moisture retrieval.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Study of soil moisture change effects on L-band DInSAR phase

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 ( 1clip_image001.png" > ) during the time between the two images as an effective parameter on interferometry phase 1clip_image002.png" > ), leads to incorrec...

متن کامل

Development of an Index-based Regression Model for Soil Moisture Estimation Using MODIS Imageries by Considering Soil Texture Effects

Soil moisture content (SMC) is one of the most significant variables in drought assessment and climate change. Near-real time and accurate monitoring of this quantity by means of remote sensing (RS) is a useful strategy at regional scales. So far, various methods for the SMC estimation using a RS data have been developed. The use of spectral information based on a small range of electromagnetic...

متن کامل

Penetration depth as a DInSAR observable and proxy for soil moisture

We use prior theory and experimental results to construct a quantitative relationship between soil moisture and the penetration depth of synthetic aperture radar (SAR) microwaves at L-, C-, and X-bands. This relationship is nonlinear and indicates that a change of 5% volumetric water content (VWC) can cause between 1 and 50 mm of change in C-band penetration depth depending on initial VWC. Beca...

متن کامل

Detecting Changes in Surface Soil Moisture Content using Differential SAR Interferometry (DInSAR)

The feasibility of measuring changes in surface soil moisture content with differential interferometric SAR (DInSAR) has received little attention in comparison to other active microwave techniques. In this study, multi-polarisation Cand L-band DInSAR is explored as a potential tool for the measurement of changes in surface soil moisture in agricultural areas. Using ten ascending Phased Array L...

متن کامل

Estimation of soil moisture using optical, thermal and radar Remote Sensing )Case Study: South of Tehran(

Traditional methods of field measurement of soil moisture in addition to the difficulty, the need for manpower and money and fail to take place on a large scale to be able to show moisture. Therefore, remote sensing has become a widespread use .Landsat 8 satellite data and Sentinel-1 radar satellite from Tehran were provided. 72 soil samples were taken at the same time by satellite passing from...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2015