Ms. Qinyu Ye Profile

Qinyu Ye

at Beijing Normal Univ

SPIE Involvement:

Author

Publications (1)

This will count as one of your downloads.

You will have access to both the presentation and article (if available).

DOWNLOAD NOW

This content is available for download via your institution's subscription. To access this item, please sign in to your personal account.

Email or Username Forgot your username?

Password Forgot your password?

Show

Keep me signed in

No SPIE account? Create an account

Proceedings Article | 8 November 2014 Paper

A new algorithm for phase transition water content retrieval during soil freeze-thaw process using microwave radiometer

Qinyu Ye, Linna Chai

Proceedings Volume 9260, 92600R (2014) https://doi.org/10.1117/12.2068719

KEYWORDS: Soil science, Radiometry, Microwave radiation, Dielectrics, Polarization, Statistical analysis, Surface roughness, Error analysis, Temperature metrology, Dielectric polarization

Read Abstract +

Seasonally soil freeze-thaw process has a profound impact on hydrologic cycle, meteorology and soil erosion. A useful indicator to evaluate the soil freeze-thaw intensity is the amount of phase transition water content (PTWC) in soil pores. In this research, a large dataset of simulated brightness temperature were generated using Advanced Integral Equation Model (AIEM) based on the configuration of the Advanced Microwave Scanning Radiometer for the Earth Observing System (AMSR-E) with soil parameters changing in a wide range. Through analyzing of the simulated brightness temperature and PTWC, a nearly linear correlation relationship existed between the brightness temperature difference of frozen and thawed soil in vertical or horizontal polarization to the PTWC, but it was affected by soil roughness. Then a statistical algorithm was put forward to estimate the PTWC using a combined brightness temperature of vertical and horizontal polarization. Finally, this algorithm was applied to the ground-based radiometer observation and validated by the ground truth. The results showed that this algorithm had an acceptable precision with a root mean square error (RMSE) of 0.0261 (m³/m³) and the absolute error less than 0.02 (m³/m³) was about 82.67%. The advantage of this algorithm is that it combines v and h polarization brightness temperature through adding different weights on them so as to weaken the influence of surface roughness and achieves the desired results.

My Library

You currently do not have any folders to save your paper to! Create a new folder below.

Folder Name

Folder Description

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks. You are receiving this notice because your organization may not have SPIE eBooks access.*

*Shibboleth/Open Athens users─please sign in to access your institution's subscriptions.

To obtain this item, you may purchase the complete book in print or electronic format on SPIE.org.

ORGANIZATIONAL
Sign in with credentials provided by your organization.

Organizational Username

Organizational Password

Show/Hide Password

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members:

Non-members: ADD TO CART

Keywords/Phrases

Search In:

Publication Years