Share Email Print

Proceedings Paper

A new algorithm for phase transition water content retrieval during soil freeze-thaw process using microwave radiometer
Author(s): Qinyu Ye; Linna Chai
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper 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.

Paper Details

Date Published: 8 November 2014
PDF: 8 pages
Proc. SPIE 9260, Land Surface Remote Sensing II, 92600R (8 November 2014); doi: 10.1117/12.2068719
Show Author Affiliations
Qinyu Ye, Beijing Normal Univ. (China)
Linna Chai, Beijing Normal Univ. (China)

Published in SPIE Proceedings Vol. 9260:
Land Surface Remote Sensing II
Thomas J. Jackson; Jing Ming Chen; Peng Gong; Shunlin Liang, Editor(s)

© SPIE. Terms of Use
Back to Top