A framework for estimating all-weather fine resolution soil moisture from the integration of physics-based and machine learning-based algorithms-Reference-Cited by-同舟云学术

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A framework for estimating all-weather fine resolution soil moisture from the integration of physics-based and machine learning-based algorithms

Published:2023-03 Issue: Volume:206 Page:107673
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Leng Pei,Yang Zhe,Yan Qiu-Yu,Shang Guo-Fei,Zhang Xia,Han Xiao-Jing,Li Zhao-Liang

Funder

Central Public-interest Scientific Institution Basal Research Fund, Chinese Academy of Fishery Sciences

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference74 articles.

1. Soil moisture inversion via semiempirical and machine learning methods with full-polarization Radarsat-2 and polarimetric target decomposition data: a comparative study;Acar;IEEE Access,2020

2. Disaggregating soil moisture to finer spatial resolutions: a comparison of alternatives;Ajami;Water Resour. Res.,2018

3. Review of machine learning approaches for biomass and soil moisture retrievals from remote sensing data;Ali;Remote Sens. (Basel),2015

4. Ground, proximal, and satellite remote sensing of soil moisture;Babaeian;Rev. Geophys.,2019

5. Assessing the soil texture-specific sensitivity of simulated soil moisture to projected climate change by SVAT modelling;Bormann;Geoderma,2012

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2. Communicating the use of artificial intelligence in agricultural and environmental research;Agricultural & Environmental Letters;2024-07-31

3. Physics-Constrained Deep Learning Models for Microwave Retrieval of High-Resolution Soil Moisture;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

4. Future Trends and Innovations in Natural Disaster Detection Using AI and ML;Advances in Computational Intelligence and Robotics;2024-05-31

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