Title :
Comparison of Backscattering Models at L-Band for Growing Corn
Author :
Monsivais-Huertero, Alejandro ; Judge, Jasmeet
Author_Institution :
Agric. & Biol. Eng. Dept., Univ. of Florida, Gainesville, FL, USA
Abstract :
The impact of incoherent and coherent formulations on estimates of terrain backscatter (σterrain0) at L-band for a growing season of corn is examined. The average root mean square difference (RMSD) between the two formulations over the growing season ranged between 3-4 dB, with higher RMSDs at HH polarization (pol), indicating the presence of coherent effects. In the incoherent model, the direct scattering from stems was the primary mechanism, while in the coherent formulation, the interactions between the stems and soil were the primary mechanisms due to the coherent effects. Both incoherent and coherent formulations estimated equally high sensitivities of σterrain0 to soil moisture (SM) during early stage under low vegetation conditions. During the early and mid stages, the σterrain0 estimated by both formulations exhibited higher sensitivities during dry conditions than wet conditions. In contrast, during the reproductive stage, the σterrain0 by the incoherent formulation was more sensitive to the SM at wet conditions than at dry conditions. Based upon the ALOS/SMAP accuracy for σterrain0, the incoherent formulation exhibited the highest sensitivity during the early stage with detection of SM changes as low as 2 vol% for dry condition, whereas the coherent formulation exhibited the highest sensitivity during the mid stage with detection of SM changes as low as 2.5 vol%. The results of this study suggest that the coherent effects should be considered for defining accuracy of SM estimation algorithms for corn at L-band.
Keywords :
backscatter; crops; hydrological techniques; moisture; remote sensing by radar; soil; vegetation mapping; ALOS-SMAP; HH polarization; L-band backscattering model comparison; L-band terrain backscatter estimation; coherent effects; corn growing season; direct corn stem scattering; incoherent model; reproductive stage; sol moisture estimation algorithms; stem-soil interaction; Backscatter; Frequency; L-band; Microwave sensors; NASA; Radar scattering; Samarium; Sea surface; Soil moisture; Vegetation mapping; Backscatter for dynamic vegetation; coherent and incoherent scattering models; soil moisture (SM); soil moisture sensitivity;
Journal_Title :
Geoscience and Remote Sensing Letters, IEEE
DOI :
10.1109/LGRS.2010.2050459