Refinement of NOAA AMSR-2 Soil Moisture Data Product: 2. Development with the Optimal Machine Learning Model

Yin, Jifu; Zhan, Xiwu; Barlage, Michael; Liu, Jicheng; Meng, Huan; Ferraro, Ralph R.

doi:10.1109/tgrs.2023.3280176

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Refinement of NOAA AMSR-2 Soil Moisture Data Product: 2. Development with the Optimal Machine Learning Model

2023
By Yin, Jifu ; Zhan, Xiwu ; Barlage, Michael ; ...
Source: IEEE Transactions on Geoscience and Remote Sensing (2023)

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Journal Title:

IEEE Transactions on Geoscience and Remote Sensing
Personal Author:

Yin, Jifu ; Zhan, Xiwu ; Barlage, Michael ; Liu, Jicheng ; Meng, Huan ; ... More +

Yin, Jifu ; Zhan, Xiwu ; Barlage, Michael ; Liu, Jicheng ; Meng, Huan ; Ferraro, Ralph R. Less -
NOAA Program & Office:

NESDIS (National Environmental Satellite, Data, and Information Service) ; NWS (National Weather Service) ; CICS (Cooperative Institute for Climate and Satellites) ; EMC (Environmental Modelling Center) ; NCEP (National Centers for Environmental Prediction) ; ... More +

NESDIS (National Environmental Satellite, Data, and Information Service) ; NWS (National Weather Service) ; CICS (Cooperative Institute for Climate and Satellites) ; EMC (Environmental Modelling Center) ; NCEP (National Centers for Environmental Prediction) ; STAR (Center for Satellite Applications and Research) Less -
Description:

— Advanced Microwave Scanning Radiometer-2 (AMSR2) is a successor of AMSR for Earth-Observation System (AMSR-E), while the third generation of AMSR (AMSR3) will be launched in the near future. The AMSR2 soil moisture (SM) product is also an important component of the SM operational products system (SMOPS) datasets that are operationally produced by National Oceanic and Atmospheric
Keywords:

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Electrical And Electronic Engineering General Earth And Planetary Sciences
Source:

IEEE Transactions on Geoscience and Remote Sensing (2023)
DOI:

https://doi.org/10.1109/tgrs.2023.3280176
ISSN:

0196-2892;1558-0644;
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PDF
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Institute of Electrical and Electronics Engineers (IEEE)
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Journal Article
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Grant no. NA19NES4320002
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https://creativecommons.org/licenses/by/4.0/
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CC BY
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urn:sha256:76c89ab5db011bce056c296e5c5c3b407e3f71a3eee24092809abf9de060533f
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https://repository.library.noaa.gov/view/noaa/55145/noaa_55145_DS1.pdf
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Refinement of NOAA AMSR-2 Soil Moisture Data Product: 2. Development with the Optimal Machine Learning Model

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