Sensitivity Analysis of Bistatic Scattering for Soil Moisture Retrieval

نویسندگان

چکیده

Soil moisture is one of the vital environmental variables in land–atmosphere cycle. A study sensitivity analysis bistatic scattering coefficients from bare soil at Ku-band presented, with aim deepening our understanding features and exploring its potential retrieval. First, a well-established advanced integral method was adopted for simulating response soil. Secondly, index normalized weight quality were proposed to evaluate effect on coefficient terms polarization angular diversity, combinations thereof. The results single-polarized VV data show that regions maximum high index, simultaneously, are forward off-specular direction. However, due surface roughness autocorrelation function (ACF), have some limitations inversion. By contrast, two different combinations, as well dual-angular simulation transmitter receivers, significant estimation benefits. It can be seen they all provide better ACF suppression capabilities, larger high-sensitivity area, higher indices compared estimation. In addition, dual or combined measurement provides possibility retrieving backward regions. These expected contribute design future observation systems.

برای دانلود باید عضویت طلایی داشته باشید

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

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Bistatic Radar Configuration for Soil Moisture Retrieval: Analysis of the Spatial Coverage

Some outcomes of a feasibility analysis of a spaceborne bistatic radar mission for soil moisture retrieval are presented in this paper. The study starts from the orbital design of the configuration suitable for soil moisture estimation identified in a previous study. This configuration is refined according to the results of an analysis of the spatial resolution. The paper focuses on the assessm...

متن کامل

Support Vector Regression for Retrieval of Soil Moisture Using Bistatic Scatterometer Data at X-Band

An approach was evaluated for the retrieval of soil moisture of bare soil surface using bistatic scatterometer data in the angular range of 200 to 700 at VVand HHpolarization. The microwave data was acquired by specially designed X-band (10 GHz) bistatic scatterometer. The linear regression analysis was done between scattering coefficients and soil moisture content to select the suitable incide...

متن کامل

Soil Moisture Retrieval Using Data Cube Representation of Radar Scattering

A time-series algorithm is proposed to retrieve surface (from surface down to 1 m depth) soil moisture using the simulated radar data. The time-series approach uses co-polarized (V V and HH) backscattering coefficient (σ) values. Temporal averaging is applied to reduce the radar measurement noise. To the extent that the surface roughness does not change within the time-series window, the reduct...

متن کامل

The Effect of Soil Texture in Soil Moisture Retrieval for Specular Scattering at C- Band

The objective of this paper is to analyze the behavior of specular scattering for different soil texture fields at various soil moisture (mv) and analyze the data to retrieve the soil moisture with minimizing the effect of the soil texture. To study the soil texture effect on specular scattering 10 different soil fields were prepared on the basis of change in soil constituents (i.e., percentage...

متن کامل

Soil moisture retrieval

Soil moisture retrieval through a merging of multi-temporal L-band SAR data and hydrologic modelling F. Mattia, G. Satalino, V. R. N. Pauwels, and A. Loew Consiglio Nazionale delle Ricerche, Istituto di Studi sui Sistemi Intelligenti per l’Automazione (ISSIA), Bari, Italy Ghent University, Laboratory of Hydrology and Water Management (LHWM), Ghent, Belgium University of Munich (LMU), Department...

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

ژورنال

عنوان ژورنال: Remote Sensing

سال: 2021

ISSN: ['2315-4632', '2315-4675']

DOI: https://doi.org/10.3390/rs13020188