Articles with "passive microwave" as a keyword



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Passive microwave radiometry in biomedical studies.

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Published in 2020 at "Drug discovery today"

DOI: 10.1016/j.drudis.2020.01.016

Abstract: Passive microwave radiometry (MWR) measures natural emissions in the range 1-10 GHz from proteins, cells, organs and the whole human body. The intensity of intrinsic emission is determined by biochemical and biophysical processes. The nature of… read more here.

Keywords: microwave radiometry; biomedical studies; radiometry biomedical; passive microwave ... See more keywords

In-situ passive microwave emission model parameterization of sub-arctic frozen organic soils

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Published in 2018 at "Remote Sensing of Environment"

DOI: 10.1016/j.rse.2017.10.033

Abstract: Abstract Many passive microwave remote sensing applications such as land surface temperature, snow water equivalent and soil moisture retrievals need to take into account a soil parameterization to the overall surface signal emission. Soil emission… read more here.

Keywords: passive microwave; soil; situ passive; parameterization ... See more keywords

Influence of surface water variations on VOD and biomass estimates from passive microwave sensors

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Published in 2021 at "Remote Sensing of Environment"

DOI: 10.1016/j.rse.2021.112345

Abstract: Abstract Vegetation optical depth (VOD) is a remotely sensed indicator characterizing the attenuation of the Earth's thermal emission at microwave wavelengths by the vegetation layer. At L-band, VOD is used to estimate the global biomass,… read more here.

Keywords: vod; passive microwave; surface water; water ... See more keywords

Global Precipitation Estimate Error Decomposition Analysis for 14 Passive Microwave Sensors

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Published in 2025 at "Geophysical Research Letters"

DOI: 10.1029/2024gl113631

Abstract: Previous studies investigated the satellite precipitation error characteristics via error decomposition analysis over several land regions. This study, for the first time, decomposes the total error of precipitation estimates from 14 passive microwave (PMW) sensors… read more here.

Keywords: passive microwave; error decomposition; precipitation; error ... See more keywords

Downscaling of passive microwave soil moisture retrievals based on spectral analysis

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Published in 2018 at "International Journal of Remote Sensing"

DOI: 10.1080/01431161.2017.1378456

Abstract: ABSTRACT The retrieval of soil moisture from passive microwave remote-sensing data is presently one of the most effective methods for monitoring soil moisture. However, the spatial resolution of passive microwave soil moisture products is generally… read more here.

Keywords: soil; microwave soil; passive microwave; soil moisture ... See more keywords
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Passive microwave observations of South America and surrounding oceans from Russian Meteor-M No. 2 and Japan GCOM-W1 satellites

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Published in 2018 at "International Journal of Remote Sensing"

DOI: 10.1080/01431161.2018.1425569

Abstract: ABSTRACT A new Russian Meteorological Satellite Meteor-M No. 2 with onboard multichannel microwave radiometer MTVZA-GY was launched on sun synchronous orbit in July 2014. The radiometer receives the outgoing radiation of the Earth at 29… read more here.

Keywords: passive microwave; south america; observations south; meteor ... See more keywords
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Precipitation measurement from SARAL AltiKa and passive microwave radiometer observations

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Published in 2020 at "International Journal of Remote Sensing"

DOI: 10.1080/01431161.2020.1797214

Abstract: ABSTRACT This study attempts to exploit ‘Satellite with Advanced Research and Global Observation Satellite (Argos) and Ka-band Altimeter (ALtiKa)’ (SARAL/AltiKa) and Passive Microwave Radiometer (PMR) measurements for the retrieval of precipitation and rain rate (R… read more here.

Keywords: passive microwave; microwave radiometer; altika passive; saral altika ... See more keywords

Experiences With an Optimal Estimation Algorithm for Surface and Atmospheric Parameter Retrieval From Passive Microwave Data in the Arctic

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Published in 2017 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2017.2739858

Abstract: We present experiences in using an integrated retrieval method for atmospheric and surface parameters in the Arctic using passive microwave data from the AMSR-E radiometer. The core of the method is a forward model which… read more here.

Keywords: surface; sea ice; passive microwave; retrieval ... See more keywords

Performance of Four Passive Microwave Soil Moisture Products in Maize Cultivation Areas of Northeast China

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Published in 2020 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2020.2995623

Abstract: Passive microwave remote sensing is an effective way to obtain global soil moisture (SM) measurements, and many studies have explored the uncertainty inherent in microwave-based SM products. However, SM product accuracy has not been evaluated… read more here.

Keywords: passive microwave; soil; error; northeast china ... See more keywords

Time Series Consistency of Passive Microwave Sensors (1978-2023) Brightness Temperature Data for Snow Depth Estimation

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Published in 2025 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2025.3640871

Abstract: Passive microwave remote sensing offers all-weather, all-day observations, but sensor inconsistencies hinder long-term continuity and multisensor integration for surface parameters estimation. This study proposed methods to improve brightness temperature (TB) consistency across seven major multifrequency,… read more here.

Keywords: passive microwave; microwave; consistency; 1978 2023 ... See more keywords

A Machine Learning Algorithm for Retrieving Cloud Top Height With Passive Microwave Radiometry

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Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2021.3081920

Abstract: This study aims to retrieve cloud top height (CTH)—excluding cirrus—using passive microwave radiometer observations combined with humidity and temperature profiles. A machine-learning-based approach, combining neural network and gradient boosting methods, is used with Cloud Profiling… read more here.

Keywords: top height; machine learning; cloud top; passive microwave ... See more keywords