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Accurate soil moisture information is required for studying the global water and energy cycles as well as the carbon cycle. The AMSR-E sensor onboard NASA's Aqua satellite offers a new means to accurately retrieve soil moisture information at a regional and global scale. However, the characterization of the factors such as precipitation, vegetation, cloud, ground roughness, and ice-snow packs is sensitive...
Huaihe River Basin is an area where flood and waterlogging disaster happened very frequently. The disaster has mad adverse impacts on the region's economic development. Precipitation-runoff processes are correlated with catchment's hydrological conditions. The estimation of soil wetness variations is of considerable importance to improve the reliability of flood warning. Passive microwave data present...
This work deals with mapping snow water equivalent as well as soil moisture at low resolution from multifrequency microwave radiometers. The algorithm developed and implemented in this work produces the spatial distribution at regional scale of snow depth (SD) and of soil moisture (SMC) of snow free areas by using the brightness temperatures of the Advanced Multifrequency Scanning Radiometer (AMSR-E).
This work aims at deriving a methodology for calculation of a soil moisture index based on the apparent thermal inertia (ATI) approach. For the processing, MODIS images have been exploited which have a higher resolution (1 km) if compared with METEOSAT images and are suitable for the ATI calculation. Furthermore, the approach considers the soil moisture estimates derived from SAR sensors and use them...
In this paper an overview of the main microwave characteristics observed on three forest areas selected in different areas worldwide is given. Microwave parameters were analyzed for a yearly cycle (2007-2008), paying particular attention to the seasonal variations forest leaf biomass, expressed as leaf area index (LAI), and climatic conditions. Some microwave indexes of polarization and frequencies...
The microwave remote sensing has long been considered as an important technique to determine and quantify the state and amount of soil moisture. With the improved knowledge of land-air interaction and the advance of sensor technology, using microwave remote sensing to estimate the soil moisture has achieved a practical level. In this paper, we compare and evaluate four soil moisture retrieval algorithms...
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