Layered Soil Remote Sensing With Multichannel Passive Microwave Observations Using a Physics-Embedded Artificial Intelligence Framework: A Theoretical Study-Reference-Cited by-同舟云学术

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Layered Soil Remote Sensing With Multichannel Passive Microwave Observations Using a Physics-Embedded Artificial Intelligence Framework: A Theoretical Study

Published:2023 Issue: Volume:61 Page:1-12
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Bai Xuyang¹^ORCID,Tan Shurun¹^ORCID

Affiliation:

1. Zhejiang University–University of Illinois at Urbana--Champaign Institute, Haining, China

Funder

National Key Research and Development Program of China

Startup Funds from Zhejiang University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/10006360/10296958.pdf?arnumber=10296958

Reference53 articles.

1. Retrieving near-surface soil moisture from microwave radiometric observations: current status and future plans

2. Soil Moisture Profile Retrievals Using Reflection of Multifrequency Electromagnetic Signals

3. Soil Moisture Retrieval Using GNSS-R Techniques: Experimental Results Over a Bare Soil Field

4. MARMIT: A multilayer radiative transfer model of soil reflectance to estimate surface soil moisture content in the solar domain (400–2500 nm)

5. Present status of soil moisture estimation by microwave remote sensing

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