An Improved Algorithm for Discriminating Soil Freezing and Thawing Using AMSR-E and AMSR2 Soil Moisture Products
نویسندگان
چکیده
منابع مشابه
Soil moisture retrieval from AMSR-E
The Advanced Microwave Scanning Radiometer (AMSR-E) on the Earth Observing System (EOS) Aqua satellite was launched on May 4, 2002. The AMSR-E instrument provides a potentially improved soil moisture sensing capability over previous spaceborne radiometers such as the Scanning Multichannel Microwave Radiometer and Special Sensor Microwave/Imager due to its combination of low frequency and higher...
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This paper presents an evaluation of AMSR (Advanced Microwave Scanning Radiometer) soil moisture products, based on the comparison with three ground soil moisture networks. The selected ground sites are representative of various climatic, hydrologic and environmental conditions in temperate and semi-arid areas. They are located in the south-west of France, in the south-east of Australia and in ...
متن کاملRemotely Sensed Soil Moisture over Australia from AMSR-E
Soil moisture can significantly influence atmospheric evolution. However the soil moisture state predicted by land surface models, and subsequently used as the boundary condition in atmospheric models, is often unrealistic. New remote sensing technologies are able to observe surface soil moisture at the scales and coverage required by numerical weather prediction (NWP), and there is potential t...
متن کاملSoil moisture estimation through ASCAT and AMSR-E sensors: An intercomparison and validation study across Europe
a Research Institute for Geo-Hydrological Protection, CNR, Perugia, Italy b Institute of Photogrammetry and Remote Sensing, Vienna University of Technology, Vienna, Austria c Institute of Methodologies for Environmental Analysis, CNR, Potenza, Italy d Public Research Centre—Gabriel Lippmann, CRP, Belvaux, Luxembourg e Centro Hispano Luso de Investigaciones Agrarias, Universidad de Salamanca, Vi...
متن کاملA comparison between two algorithms for the retrieval of soil moisture using AMSR-E data
A comparison between two algorithms for estimating soil moisture with microwave satellite data was carried out by using the datasets collected on the four Agricultural Research Service (ARS) watershed sites in the US from 2002 to 2009. These sites collectively represent a wide range of ground conditions and precipitation regimes (from natural to agricultural surfaces and from desert to humid re...
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ژورنال
عنوان ژورنال: Remote Sensing
سال: 2018
ISSN: 2072-4292
DOI: 10.3390/rs10111697