EGU25-20602, updated on 15 Mar 2025
https://doi.org/10.5194/egusphere-egu25-20602
EGU General Assembly 2025
© Author(s) 2025. This work is distributed under the Creative Commons Attribution 4.0 License.
Depth-specific soil moisture estimation in vegetated corn fields using a canopy-informed model: A fusion of RGB-thermal drone data and machine learning
- Virginia Tech, blacksburg, United States of America (sshafian@vt.edu)
How to cite: shafian, S.: Depth-specific soil moisture estimation in vegetated corn fields using a canopy-informed model: A fusion of RGB-thermal drone data and machine learning, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-20602, https://doi.org/10.5194/egusphere-egu25-20602, 2025.