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 +4 more sources
A New Operational Snow Retrieval Algorithm Applied to Historical AMSR-E Brightness Temperatures [PDF]
Remote Sensing, 2016 Snow is a key element of the water and energy cycles and the knowledge of spatio-temporal distribution of snow depth and snow water equivalent (SWE) is fundamental for hydrological and climatological applications.
Marco Tedesco
exaly +6 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 ...
Tsutomu Hihara, Masahisa Kubota
exaly +4 more sources
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
doaj +2 more sources
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
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
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 +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 (
Abhishek Chakraborty +2 more
exaly +3 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
Antarctic Snowmelt Detected by Diurnal Variations of AMSR-E Brightness Temperature
Remote Sensing, 2018 Antarctic surface snowmelt is sensitive to the polar climate. The ascending and descending passes of the Advanced Microwave Scanning Radiometer for Earth Observing System Sensor (AMSR-E) observed the Antarctic ice sheet in the afternoon (the warmest ...
Qizhen Sun, Chunxia Zhou, Lei Zheng
exaly +3 more sources