Combining of the HAAlpha and Freeman–Durden Polarization Decomposition Methods for Soil Moisture Retrieval from Full-Polarization Radarsat-2 Data

Joint Authors

Meng, Qingyan
Zhang, Linlin
Xie, Qiuxia
Wang, Chunmei
Wang, Qiao
Zhao, Shaohua

Source

Advances in Meteorology

Issue

Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-17, 17 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2018-08-19

Country of Publication

Egypt

No. of Pages

17

Main Subjects

Physics

Abstract EN

Soil moisture (SM) plays important roles in surface energy conversion, crop growth, environmental protection, and drought monitoring.

As crops grow, the associated vegetation seriously affects the ability of satellites to retrieve SM data.

Here, we collected such data at different growth stages of maize using Bragg and X-Bragg scattering models based on the Freeman–Durden polarization decomposition method.

We used the H/A/Alpha polarization decomposition approach to extract accurate threshold values of decomposed scattering components.

The results showed that the H and Alpha values of bare soil areas were lower and those of vegetated areas were higher.

The threshold values of the three scattering components were 0.2–0.4 H and 7–24° Alpha for the surface scattering component, 0.6–0.9 H and 22–50° Alpha for the volume scattering component, and other values for the dihedral scattering component.

The SM data retrieved (using the X-Bragg model) on June 27, 2014, were better than those retrieved at other maize growth stages and were thus associated with the minimum root-mean-square error value (0.028).

The satellite-evaluated SM contents were in broad agreement with data measured in situ.

Our algorithm thus improves the accuracy of SM data retrieval from synthetic-aperture radar (SAR) images.

American Psychological Association (APA)

Xie, Qiuxia& Meng, Qingyan& Zhang, Linlin& Wang, Chunmei& Wang, Qiao& Zhao, Shaohua. 2018. Combining of the HAAlpha and Freeman–Durden Polarization Decomposition Methods for Soil Moisture Retrieval from Full-Polarization Radarsat-2 Data. Advances in Meteorology،Vol. 2018, no. 2018, pp.1-17.
https://search.emarefa.net/detail/BIM-1119009

Modern Language Association (MLA)

Xie, Qiuxia…[et al.]. Combining of the HAAlpha and Freeman–Durden Polarization Decomposition Methods for Soil Moisture Retrieval from Full-Polarization Radarsat-2 Data. Advances in Meteorology No. 2018 (2018), pp.1-17.
https://search.emarefa.net/detail/BIM-1119009

American Medical Association (AMA)

Xie, Qiuxia& Meng, Qingyan& Zhang, Linlin& Wang, Chunmei& Wang, Qiao& Zhao, Shaohua. Combining of the HAAlpha and Freeman–Durden Polarization Decomposition Methods for Soil Moisture Retrieval from Full-Polarization Radarsat-2 Data. Advances in Meteorology. 2018. Vol. 2018, no. 2018, pp.1-17.
https://search.emarefa.net/detail/BIM-1119009

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1119009