AMSR-EAdvanced Microwave Scanning Radiometer for EOS (Earth Observing System)
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Zhang, 2016: Application of AMSR-E and AMSR2 low-frequency channel brightness temperature data for hurricane wind retrievals.
Shibata, 2010: AMSR-E all weather sea surface wind speed (in Japanese).
All soil moisture datasets evaluated in this study are procured for the period of January 2010 to October 2011, a period during which both SMOS and AMSR-E products are available for the study areas.
In response to Radio Frequency Interference (RFI), NSIDC uses only the X-band (10.7 GHz) frequency AMSR-E data, while the VUA-NASA algorithm is separately applied to both C(6.925 GHz) and X-band AMSR-E observations [42].
In this study the SMOS and AMSR-E are evaluated against the XAJ derived top layer SMD (referred to as SMD1).
Soil moisture, at large scale, from satellite sensors like Advanced Microwave Scanning Radiometer (AMSR-E) and Moderate Resolution Imaging Spector Radiometer (MODIS) for the years 2007 and 2010 was mapped in this study.
Optical, thermal infrared and passive microwave regions of the electromagnetic spectrum were exploited in this study i.e., NIR, Red and blue bands for the Enhanced Vegetation Index (EVI) in optical domain, thermal Infrared band for Land Surface Temperature (LST) and passive microwave region for soil moisture (a level 3 product of AMSR-E) in conjunction with rain gauge 24 hours data.
Advanced Microwave Scanning Radiometer - Earth Observing System (AMSR-E) sensor on NASA's Aqua satellite (AMSR-E) provides measurements of soil moisture, snow water equivalent, surface wetness, wind speed, atmospheric cloud water, and oceanic water vapor, including precipitation rate, sea surface temperature, sea ice concentration, and atmospheric parameters for the investigation of global water and energy cycles.
Prior to the CS battery anomaly, overlays of CPR profiles of TCs are generated onto corresponding Aqua sensors (MODIS and AMSR-E) and geostationary satellites (Mitrescu et al.
Bolten says that results from AMSR-E are just a precursor to dramatic new improvements in data and prediction accuracy researchers expect from the Soil Moisture Active and Passive satellite, slated to launch in 2013.
They are designed to match different scales of land hydrological modeling, C-band and L-band passive microwave retrievals (e.g., AMSR-E and SMOS), and active microwave retrievals (e.g., ASCAT and SMAP).
For instance, the GLDAS outputs can be evaluated against the large and medium networks; SM products retrieved from AMSR-E, SMOS, ASCAT, and SMAP can be evaluated against the medium network data; and the SM product from SMAP active signals can be compared with the small network data.