Abstract
In this paper, a new approach was introduced to estimate surface soil moisture using alternating polarization (AP) data of advanced synthetic aperture radar (ASAR). First, synthetic aperture radar (SAR) backscattering characteristic of bare surface at C band was simulated using advanced integrated equation model (AIEM), and four bare surface backscattering models with different polarization were established. In addition, with simultaneous equations of the former four formulas, the surface roughness was eliminated, and models used to estimate soil moisture on bare surface were derived from simulated multipolarization and multiangle ASAR-AP data. Based on these, the best combination of polarization and incident angle was determined. Finally, soil moisture in the middle stream of the Heihe River Basin was estimated. The field measured data demonstrated that the proposed method was capable of retrieving surface soil moisture for both sparse grassland and homogeneous farmland area.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
