Results 31 to 40 of about 30,916,225 (212)
Remote Sensing, 2016 A method to retrieve soil moisture (SM) from Advanced Scanning Microwave Radiometer—Earth Observing System Sensor (AMSR-E) observations using Soil Moisture and Ocean Salinity (SMOS) Level 3 SM as a reference is discussed.
Nemesio J. Rodríguez-Fernández +9 more
doaj +1 more source
Remote Sensing, 2023 To extend the time span of the microwave (MW) land surface temperature (LST) dataset in China, this study proposed an optimized empirical algorithm for Advanced Microwave Scanning Radiometer 2 (AMSR2) LST retrieval based on the algorithm for its ...
Quan Zhang +3 more
doaj +1 more source
AMSR-E ASI sea ice concentration data, Arctic, version 5.4 (NetCDF) (June 2002 - September 2011)
, 2019 The sea ice concentration product from the University of Bremen, Institute of Environmental Physics (IUP), has been retrieved with the ARTIST Sea Ice (ASI) algorithm, applied to microwave radiometer data of the sensor AMSR-E (Advanced Microwave Scanning ...
Melsheimer, Christian +3 more
core +1 more source
AMSR-2 data for Pyresample quicklook documentation
, 2019 GCOM-W1 AMSR 2 data downloaded from Earth Observation Research Center, Japan Aerospace Exploration Agency (JAXA).
Adam, Adam (8326890)
core +1 more source
Influence of cracking clays on satellite estimated and model simulated soil moisture [PDF]
Hydrology and Earth System Sciences, 2010 Vertisols are clay soils that are common in the monsoonal and dry warm regions of the world. One of the characteristics of these soil types is to form deep cracks during periods of extended dry, resulting in significant variation of the soil and ...
Y. Y. Liu +5 more
doaj +1 more source
Remote Sensing, 2022 The coarse scale of passive microwave surface soil moisture (SSM) is not suitable for regional agricultural and hydrological applications such as drought monitoring and irrigation management.
Hongtao Jiang +5 more
doaj +1 more source
Effect of Structural Uncertainty in Passive Microwave Soil Moisture Retrieval Algorithm
Sensors, 2020 Passive microwave sensors use a radiative transfer model (RTM) to retrieve soil moisture (SM) using brightness temperatures (TB) at low microwave frequencies. Vegetation optical depth (VOD) is a key input to the RTM. Retrieval algorithms can analytically
Lanka Karthikeyan +3 more
doaj +1 more source
An Analysis of Arctic Sea Ice Leads Retrieved from AMSR-E/AMSR2
Remote 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 +1 more source
Land surface phenologies and seasonalities using cool earthlight in mid-latitude croplands
Environmental Research Letters, 2013 Phenology deals with timing of biotic phenomena and seasonality concerns temporal patterns of abiotic variables. Studies of land surface phenology (LSP) and land surface seasonality (LSS) have long been limited to visible to near infrared (VNIR ...
W G Alemu, G M Henebry
doaj +1 more source
Remote Sensing, 2016 Snow on Antarctic sea ice plays a key role for sea ice physical processes and complicates retrieval of sea ice thickness using altimetry. Current methods of snow depth retrieval are based on satellite microwave radiometry, which perform best for dry ...
Stefan Kern, Burcu Ozsoy-Çiçek
doaj +1 more source