Results 81 to 90 of about 593 (173)
Improvement of AMSR2 Soil Moisture Products Over South Korea
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2017 Soil moisture (SM) is a critical parameter for interpreting the status of land surfaces and vegetation because it has an important role in the exchange of water and heat energy between the land surface and atmosphere. SM can be retrieved with satellite microwave sensors, which offer several advantages in that they are cost-effective, give rapid results,
Chang-Suk Lee +3 more
openaire +2 more sources
Assimilation of ACSPO VIIRS and REMSS AMSR2 into OSTIA
, 2016 Presentation given at the 17th GHRSST science meeting (XVII), Washington DC, USA, June 6 - 10, 2016.
openaire +2 more sources
CAL/VAL status of the GCOM-W1/AMSR2
, 2013 Presentation given at the 14th GHRSST science meeting (XIV), Woods Hole, MA, USA, June 17 - 21, 2013.
openaire +2 more sources
Optimal Estimation of Sea Surface Temperature from AMSR2
, 2015 Presentation given at the 16th GHRSST science meeting (XVI), ESA/ESTEC, The Netherlands, July 20 - 24, 2015.
openaire +1 more source
RECENT CAL/VAL UPDATES OF THE GCOM-W/AMSR2
, 2015 Presentation given at the 16th GHRSST science meeting (XVI), ESA/ESTEC, The Netherlands, July 20 - 24, 2015.
openaire +2 more sources
Interpolation of AMSR2 data for improvement of ice charting
, 2019 Today, ice charts in Greenland waters are produced manually by the Danish Meteorological Institute (DMI) for selected regions depending on season and shipping routes. The project “Automated Downstream Sea Ice Products for Greenland Waters” or shorter “Automated Sea Ice Products” (ASIP) attempts to automate this process by means of fusion of data from ...
Nielsen, Allan Aasbjerg; id_orcid 0000-0002-4837-9449 +7 more
openaire +1 more source
Recent Improvements in AMSR2 Sea Surface Temperature Products
, 2019 Presentation given at the 20th GHRSST science meeting (XX), ESA/ESRIN, Frascati, Italy, June 3 - 7, 2019.
openaire +1 more source
Remote SensingPassive microwave remote sensing provides indispensable observations for constructing long-term snow depth records, which are critical for climatology, hydrology, and operational applications.
Guangjin Liu +5 more
doaj +1 more source
Application of a Machine Learning Algorithm in Generating an Evapotranspiration Data Product From Coupled Thermal Infrared and Microwave Satellite Observations. [PDF]
Front Big Data, 2022 Fang L +6 more
europepmc +1 more source
Evaluation of SMOS, SMAP, AMSR2 and FY-3C soil moisture products over China. [PDF]
PLoS One, 2022 Fan J +5 more
europepmc +1 more source