Results 1 to 10 of about 817 (178)
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-
Ma W, Ma Y.
europepmc +2 more sources
Global Satellite Retrievals of the Near-Surface Atmospheric Vapor Pressure Deficit from AMSR-E and AMSR2. [PDF]
Remote Sens (Basel), 2018 Near-surface atmospheric Vapor Pressure Deficit (VPD) is a key environmental variable affecting vegetation water stress, evapotranspiration, and atmospheric moisture demand.
Du J +5 more
europepmc +2 more sources
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.
Xiwu Zhan, , Ruixin Yang
exaly +3 more sources
Use of AMSR-E microwave satellite data for land surface characteristics and snow cover variation. [PDF]
Data 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 ...
Boori MS +3 more
europepmc +2 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 +2 more
exaly +3 more sources
Retrieval of Surface Air Specific Humidity Over the Ocean Using AMSR-E Measurements. [PDF]
Sensors (Basel), 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 ...
Kubota M, Hihara T.
europepmc +2 more sources
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 (Basel), 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 ...
Choi M, Jacobs JM.
europepmc +2 more sources
Assessment of area favourable for crop sowing using AMSR-E derived Soil Moisture Index (AMSR-E SMI)
International Journal of Applied Earth Observation and Geoinformation, 2012 Abstract Advanced Microwave Scanning Radiometer-Earth Observing System (AMSR-E) soil moisture product was used to assess the progression of Area Favourable for Crop Sowing (AFCS) over Andhra Pradesh State of India during summer monsoon. The AMSR-E soil moisture data were normalized with respect to soil texture to calculate AMSR-E Soil Moisture Index (
P S Roy
exaly +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.
Lucas Jones +2 more
exaly +3 more sources
Frontiers in Environmental Science, 2022 The dual-polarized ratio (DPR) algorithm is a new algorithm that enable calculation of Arctic sea ice concentration from the 36.5-GHz channel of the sensor Advanced Microwave Scanning Radiometer for EOS/Advanced Microwave Scanning Radiometer 2 (AMSR-E ...
Fangyi Zong +6 more
doaj +1 more source