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Surface soil moisture was retrieved globally by systematically correcting for the effects of vegetation and soil surface roughness. The retrieval is enabled by employing physical-models of radar forward scattering for individual vegetation types to account for vegetation scattering and absorption, and by constraining the surface roughness effect using time-series observations. The L-band SMAP multi-polarized...
The applicability of a recently developed compact polarimetric decomposition and inversion algorithm for C-band to estimate soil moisture under growing agricultural vegetation cover is investigated using simulated L-band compact Polarimetric Synthetic Aperture Radar (PolSAR) data. The surface scattering component is separated from the volume scattering component through a model-based compact polarimetric...
Microwave-based retrieval of soil moisture in vegetated areas have uncertainties due the sensitivity of the signal to vegetation structure and dielectric constant. In this study, we propose a framework for developing a joint active L-band and active P-band retrieval algorithm to decrease the retrieval uncertainties. The algorithm focuses on the decomposition of soil, vegetation and dihedral components...
This paper presents model-based scattering power decomposition images acquired with Advanced Land Observing Satellite 2 (ALOS-2) operating at the L-band frequency. Using the advantages of penetrating and fully polarimetric capabilities in the L-band, real applications on the environmental monitoring such as forest change, flooding, volcano investigation, etc, became feasible. Some evident images are...
Next L-band fully polarimetric Synthetic Aperture Radar (SAR) missions will provide meaningful and timely data over large agricultural areas. The purpose of this work is to evaluate the potential of L-band PolSAR (SAR polarimetry) for crop monitoring using incoherent target decomposition theorems applied to PolSAR data from the NASA/JPL UAVSAR airborne system over Canada. Polarimetric parameters Entropy,...
SAR imaging of concealed targets beneath the canopies has to face a complex mixture of diverse scattering mechanisms. To characterize this complex scattering environment, nonparametric tomographic estimators are more robust to focusing artefacts but limited in resolution. Parametric tomographic estimators provide better vertical resolution but fail to adequately characterize continuously distributed...
A sensitivity of L-band SAR to an inundated area was examined for an application of rapid flood mapping. Based on a theoretical scattering model, an intensive comparison by using the various real spaceborne and airborne L-band SAR data obtained by ALOS-2 was conducted. A proposed time series approach plays an important role to improve an accuracy of flooding area extraction.
This study focuses on the calibration of the effective scattering albedo (ω) of vegetation in the soil moisture (SM) retrieval at L-Band. Currently, in the SMOS Level 2 and 3 algorithms, the value of ω is set to 0 for low vegetation and ∼ 0.06 – 0.08 for forests. Different parameterizations of vegetation (in terms of ω values) were tested in this study. The possibility of combining soil roughness...
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