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) <inline-formula xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"> <tex-math notation="LaTeX">$L$</tex-math> </inline-formula>-band light detection and ranging (LiDAR) multispectral precision agriculture (PA) reflectometry
Online Access:	https://ieeexplore.ieee.org/document/11037323/
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Integrating UAS-Based GNSS-R, LiDAR, and Multispectral Data for Soil Moisture Estimation: Summary of Results From a Three-Year-Long Field Campaign

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