More Precise Monitoring of Soil Moisture Content in Agricultural Fields by Upscaling Conversion of Multispectral Image Data From Unmanned Aerial Vehicles-Reference-Cited by-同舟云学术

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More Precise Monitoring of Soil Moisture Content in Agricultural Fields by Upscaling Conversion of Multispectral Image Data From Unmanned Aerial Vehicles

Published:2024 Issue: Volume:12 Page:79892-79904
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Wang Yifan¹,Ma Yi¹,Zhou Fangrong¹,Huang Zugui²^ORCID,Yao Yifei²

Affiliation:

1. Electric Power Science Research Institute, Yunnan Power Grid Co., Ltd., Kunming, China

2. Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest A&F University, Yangling, Shaanxi, China

Funder

Science and Technology Project of China Southern Power Grid Yunnan Power Grid Co., Ltd.

Youth Fund of the National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10541948.pdf?arnumber=10541948

Reference35 articles.

1. Soil moisture content retrieval from Landsat 8 data using ensemble learning

2. A synergic method of Sentinel-1 and Sentinel-2 images for retrieving soil moisture content in agricultural regions

3. Ground, Proximal, and Satellite Remote Sensing of Soil Moisture

4. Impact of the ECMWF reanalysis soil water on forecasts of the July 1993 Mississippi flood

5. Global estimates of daily evapotranspiration using SMAP surface and root-zone soil moisture

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