Title :
Validity Regions of Soil Moisture Retrieval on the
–
Plane for Agricultural Fields
Author :
Sinmyong Park ; Soon-Koo Kweon ; Yisok Oh
Author_Institution :
Dept. of Electron. Inf. & Commun. Eng., Hongik Univ., Seoul, South Korea
Abstract :
To quantitatively examine the sensitivity of the soil moisture retrieval over agricultural fields, first, we generated a database of radar backscattering coefficients using the first-order vector radiative transfer model for various leaf area indices (LAIs), incidence angles, frequencies, and polarizations. Then, soil moisture contents were retrieved from the backscattering coefficients of the database using the water-cloud model (WCM) and Oh et al.´s scattering model. Based on the sensitivity examination for LAI and θ (incidence angle) on soil moisture retrieval, we propose validity regions of soil moisture retrieval over agricultural fields on the LAI-θ plane at L-, C-, and X-bands for vvand hh-polarizations in the form of OFpp <; -AFppLAI + θ0,Fpp, where the constants AFpp and θ0,Fpp are determined in this letter for F-frequency band and pp-polarization. The validity regions were verified with inversion results from synthetic aperture radar (SAR) data of bean and wheat fields.
Keywords :
agriculture; backscatter; crops; hydrological techniques; moisture measurement; radar polarimetry; radiative transfer; soil; synthetic aperture radar; C-band; L-band; LAI-θ plane; SAR data; WCM; X-band; agricultural field; backscattering coefficients; bean field; first-order vector radiative transfer model; incidence angle; leaf area index; polarization; radar backscattering coefficient; soil moisture content retrieval; soil moisture retrieval sensitivity; synthetic aperture radar; water-cloud model; wheat field; Accuracy; Backscatter; Radar; Scattering; Soil moisture; Vegetation mapping; $mbox{LAI}$–$theta$ plane; $mbox{LAI}$??? $theta$ plane; Agricultural fields; first-order radiative transfer model (RTM); soil moisture retrieval; water–cloud model (WCM); water???cloud model (WCM);
Journal_Title :
Geoscience and Remote Sensing Letters, IEEE
DOI :
10.1109/LGRS.2014.2387948