Temporal Variability Corrections for Advanced Microwave Scanning Radiometer E (AMSR-E) Surface Soil Moisture: Case Study in Little River Region, Georgia, U.S. [PDF]
Sensors, 2008 Statistical correction methods, the Cumulative Distribution Function (CDF) matching technique and Regional Statistics Method (RSM) are applied to adjust the limited temporal variability of Advanced Microwave Scanning Radiometer E (AMSR-E) data using the ...
Jennifer M. Jacobs, Minha Choi
doaj +11 more sources
The sensitivity of land emissivity estimates from AMSR-E at C and X bands to surface properties [PDF]
Hydrology and Earth System Sciences, 2011 Microwave observations at low frequencies exhibit more sensitivity to surface and subsurface properties with little interference from the atmosphere.
H. Norouzi +5 more
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The evaluation of AMSR-E soil moisture data in atmospheric modeling using a suitable time series iteration to derive land surface fluxes over the Tibetan Plateau. [PDF]
PLoS ONE, 2019 In this study, the initial soil moisture in an atmospheric model was varied by assimilating AMSR-E (The Advanced Microwave Scanning Radiometer for EOS) products, and the results were compared with the default model scenario and in-situ data based on long-
Weiqiang Ma, Yaoming Ma
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Global Satellite Retrievals of the Near-Surface Atmospheric Vapor Pressure Deficit from AMSR-E and AMSR2 [PDF]
Remote Sensing, 2018 Near-surface atmospheric Vapor Pressure Deficit (VPD) is a key environmental variable affecting vegetation water stress, evapotranspiration, and atmospheric moisture demand.
Jinyang Du +5 more
doaj +2 more sources
Developing an improved soil moisture dataset by blending passive and active microwave satellite-based retrievals [PDF]
Hydrology and Earth System Sciences, 2011 Combining information derived from satellite-based passive and active microwave sensors has the potential to offer improved estimates of surface soil moisture at global scale.
Y. Y. Liu +7 more
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Remote Sensing, 2019 Land surface temperature (LST) is an important input to the Atmosphere−Land Exchange Inverse (ALEXI) model to derive the Evaporative Stress Index (ESI) for drought monitoring.
Donglian Sun, Xiwu Zhan, Paul R Houser
exaly +3 more sources
Remote Sensing, 2019 The daily AMSR-E/NASA (the Advanced Microwave Scanning Radiometer-Earth Observing System/the National Aeronautics and Space Administration) and JAXA (the Japan Aerospace Exploration Agency) soil moisture (SM) products from 2002 to 2011 at 25 km ...
Qiuxia Xie, Massimo Menenti
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Use of AMSR-E microwave satellite data for land surface characteristics and snow cover variation [PDF]
Data in Brief, 2016 This data article contains data related to the research article entitled “Global land cover classification based on microwave polarization and gradient ratio (MPGR)” [1] and “Microwave polarization and gradient ratio (MPGR) for global land surface ...
Mukesh Singh Boori +3 more
doaj +2 more sources
Retrieval of Surface Air Specific Humidity Over the Ocean Using AMSR-E Measurements [PDF]
Sensors, 2008 We have developed a new algorithm to estimate the surface air specific humidity over the ocean from AMSR-E data. It should be noted that remarkably reduced random errors of the estimated surface air specific humidity result from using the surface air ...
Masahisa Kubota, Tsutomu Hihara
doaj +2 more sources
Remote Sensing, 2014 The development and continuity of consistent long-term data records from similar overlapping satellite observations is critical for global monitoring and environmental change assessments.
Jinyang Du +2 more
exaly +3 more sources