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Radar remote sensing of soil moisture content at low frequencies requires an accurate scattering model of realistic soils, which often involves multilayer rough surfaces and inhomogeneous dielectric profiles. In this paper, a hybrid analytical/numerical solution to two- dimensional scattering from multilayer rough surfaces separated by arbitrary dielectric profiles based on the extended boundary condition...
Soil moisture is a key parameter in understanding the global water cycle and in predicting natural hazards. Polarimetric radar measurements have been used for estimating soil moisture of bare surfaces. In order to estimate soil moisture accurately, the surface roughness effect must be compensated properly. In addition, these algorithms will not produce accurate results for vegetated surfaces. It is...
Two regional snow mapping algorithms were developed and tested over the province of Quebec (Canada).: one using AVHRR imagery and the second using SMM/I data. In order to mitigate the disadvantages related to each type of data, we decided then to develop a merging procedure of the snow mapping results obtained by both sensors. This procedure allows combining the advantages of using both high spatial...
Soil, vegetation and rainfall are the main factors controlled the watershed hydrological process. In order to examine the effects of high-cold vegetation on the soil hydrologic process in high-cold area of the source region of Yellow River, two small basins (Kurewaermna River and Natong River catchenment) with different degenerate degrees were selected as paired catchments. The self-made artificial...
We have made an endeavor to investigate the snow water equivalent (SWE) variations in Himalayan mountain region which is the most difficult terrain to access during winter seasons. The area also covers the large glaciers such as Siachen and Gangotri. A time series multi scale of SWE L3 product derived from Aqua Advanced Microwave Scanning Radiometer (AMSR-E) data have been analysed for three consecutive...
Assessments on the performance of dual-frequency (13.6/35.5 GHz) precipitation radar (DPR) rain retrieval techniques are performed through simple vertical rain profiles synthesized with arbitrarily defined and disdrometer-measured raindrop size distribution (DSD) data. A DPR inversion technique (DPR-IT) with the estimates of differential attenuation (DA), which used to resolve the path-integrated...
In this paper are described some enhancements for a straightforward method recently developed by the authors for evaluating post flood damages using Landsat TM/ETM+ data integrated with digital terrain models (DTMs) and based on the principal components transform (PCT). In particular, the main updates refer to the computational scheme in deriving the flood extension map with the use of the minimum...
This research integrated the RMsed Universal Soil Loss Equation (RUSLE) model with RS and GIS techniques to quantify soil erosion risk, took upper Chaobai River basin, China as an example to map soil erosion within ArcGIS environment by using the RUSLE model. The RUSLE factors were developed from local rainfall, topographic, soil classification and land use data. This study proved that the integration...
This paper introduces the application of the ensemble Kalman filter (EnKF) technique for the assimilation of passive microwave remote sensing observations into a landsurface model, to improve the snow depth (SD) predictability. A new landsurface model, currently developed at the Japan Meteorological Agency (JMA), which is based on the simple biosphere model (SiB), is used as a forward model to predict...
After the great success of the Tropical Rainfall Measuring Mission (TRMM), Global Precipitation Measurement (GPM) started as an international mission and follow-on mission of the TRMM project to obtain more accurate and frequent observations of precipitation. The accurate measurement of precipitation will be achieved by the DPR installed on the GPM core satellite. In order to estimate accurate precipitation...
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