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A Multivariable Approach for Estimating Soil Moisture from Microwave Radiation Imager (MWRI)

Sibo ZHANG Fuzhong WENG Wei YAO

气象学报(英文版)2020,Vol.34Issue(4):732-747,16.
气象学报(英文版)2020,Vol.34Issue(4):732-747,16.

A Multivariable Approach for Estimating Soil Moisture from Microwave Radiation Imager (MWRI)

A Multivariable Approach for Estimating Soil Moisture from Microwave Radiation Imager (MWRI)

Sibo ZHANG 1Fuzhong WENG 2Wei YAO1

作者信息

  • 1. Qian Xuesen Laboratory of Space Technology,China Academy of Space Technology,Beijing100094
  • 2. State Key Laboratory of Severe Weather,Chinese Academy of Meteorological Sciences, China Meteorological Administration,Beijing100081
  • 折叠

摘要

关键词

soil moisture/Microwave Radiation Imager (MWRI)/machine learning/microwave remote sensing

Key words

soil moisture/Microwave Radiation Imager (MWRI)/machine learning/microwave remote sensing

引用本文复制引用

Sibo ZHANG,Fuzhong WENG,Wei YAO..A Multivariable Approach for Estimating Soil Moisture from Microwave Radiation Imager (MWRI)[J].气象学报(英文版),2020,34(4):732-747,16.

基金项目

Supported by the National Key Research and Development Program of China (2018YFC1506501) and China Academy of Space Technology "Spaceborne Observations Coping with the Crisis of Global Warming: Responsibility of Major Powers in the ParisAgree-ment" and "Research on the Design of the Spaceborne Observation System of Global Climate Change" projects. (2018YFC1506501)

气象学报(英文版)

OACSCDCSTPCD

0894-0525

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