Results 11 to 20 of about 51,471,999 (204)

Development of Continuous AMSR-E/2 Soil Moisture Time Series by Hybrid Deep Learning Model (ConvLSTM2D and Conv2D) and Transfer Learning for Reanalyses

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Surface soil moisture (SSM) is a crucial climate variable of the Earth system that regulates water and energy exchanges between the land and atmosphere, directly influencing hydrological, biogeochemical, and energy cycles. However, satellite-derived SSM,
Visakh Sivaprasad   +4 more
doaj   +3 more sources

A Stepwise Downscaling Method for Generating High-Resolution Land Surface Temperature From AMSR-E Data

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020
A stepwise downscaling method is proposed for generating high-resolution land surface temperature (LST) from advanced microwave scanning radiometer for the Earth observing system (AMSR-E) data to benefit the fusion of thermal infrared and microwave data ...
Quan Zhang   +3 more
doaj   +2 more sources

Determining the AMSR-E SST Footprint from Co-Located MODIS SSTs [PDF]

open access: yesRemote Sensing, 2019
This study was undertaken to derive and analyze the advanced microwave scanning radiometer-Earth observing satellite (EOS) (AMSR-E) sea surface temperature (SST) footprint associated with the remote sensing systems (RSS) level-2 (L2) product.
Brahim Boussidi   +3 more
doaj   +2 more sources

An Analysis of Arctic Sea Ice Leads Retrieved from AMSR-E/AMSR2

open access: yesRemote Sensing, 2022
In this study, we retrieve an Arctic sea ice lead fraction from AMSR2 passive microwave data in winter from 2012 to 2020 based on an algorithm developed for AMSR-E data. The derived AMSR2 sea ice lead fraction is validated against MODIS images.
Ming Li   +4 more
doaj   +2 more sources

Estimate of Hurricane Wind Speed from AMSR-E Low-Frequency Channel Brightness Temperature Data

open access: yesAtmosphere, 2018
Two new parameters (W6H and W6V) were defined that represent brightness temperature increments for different low-frequency channels due to ocean wind. We developed a new wind speed retrieval model inside hurricanes based on W6H and W6V using brightness ...
Lei Zhang   +3 more
doaj   +2 more sources

Optimal Estimation of Sea Surface Temperature from AMSR-E [PDF]

open access: yesRemote Sensing, 2018
The Optimal Estimation (OE) technique is developed within the European Space Agency Climate Change Initiative (ESA-CCI) to retrieve subskin Sea Surface Temperature (SST) from AQUA’s Advanced Microwave Scanning Radiometer—Earth Observing System (AMSR-E).
Pia Nielsen-Englyst   +6 more
openaire   +4 more sources

Inter-Calibration of Satellite Passive Microwave Land Observations from AMSR-E and AMSR2 Using Overlapping FY3B-MWRI Sensor Measurements [PDF]

open access: yesRemote 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   +6 more
doaj   +2 more sources

Intersensor Calibration of Spaceborne Passive Microwave Radiometers and Algorithm Tuning for Long-Term Sea Ice Trend Analysis Based on AMSR-E Observations

open access: yesRemote Sensing
Sea ice monitoring is key to analyzing the Earth’s climate system. Long-term sea ice extent (SIE) has been continuously monitored using various spaceborne passive microwave radiometers (PMRs) since November 1978. As the lifetime of a satellite is usually
Mieko Seki   +4 more
doaj   +2 more sources

Global Satellite Retrievals of the Near-Surface Atmospheric Vapor Pressure Deficit from AMSR-E and AMSR2 [PDF]

open access: yesRemote 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

Temporal Variability Corrections for Advanced Microwave Scanning Radiometer E (AMSR-E) Surface Soil Moisture: Case Study in Little River Region, Georgia, U.S. [PDF]

open access: yesSensors, 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

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