Integrating UAS-Based GNSS-R, LiDAR, and Multispectral Data for Soil Moisture Estimation: Summary of Results From a Three-Year-Long Field Campaign

Integrating UAS-Based GNSS-R, LiDAR, and Multispectral Data for Soil Moisture Estimation: Summary of Results From a Three-Year-Long Field Campaign

Accurate and high-resolution soil moisture (SM) measurement is a critical component for site-specific precision agriculture (PA) management. Efficiently observing SM at high resolution on a subfield scale can enhance irrigation planning and management, leading to improved yields and product quality...

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Bibliographic Details
Main Authors: Md Mehedi Farhad, Volkan Senyurek, Mohammad Abdus Shahid Rafi, Sriman Bidhan Baray, Cary McCraine, Lee A. Hathcock, Ardeshir Adeli, Huang Yanbo, Ali C. Gurbuz, Mehmet Kurum
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Global navigation satellite system reflectometry (GNSS-R)
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light detection and ranging (LiDAR)
multispectral
precision agriculture (PA)
reflectometry
Online Access:https://ieeexplore.ieee.org/document/11037323/
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