EGU25-7313, updated on 14 Mar 2025
https://doi.org/10.5194/egusphere-egu25-7313
EGU General Assembly 2025
© Author(s) 2025. This work is distributed under the Creative Commons Attribution 4.0 License.
Assessing the effectiveness of remote sensing indices for predicting E. coli concentrations in an irrigation pond
1,2,1- 1USDA-ARS, Environmental Microbial and Food Safety Laboratory, College Park, United States of America
- 2Department of Civil Urban Earth and Environmental Engineering, Ulsan National Institute of Science and Technology, UNIST-gil 50, Ulsan, 44919, Republic of Korea
- 3School of Civil, Environmental and Architectural Engineering, Korea University, Seoul, 02841, Republic of Korea
How to cite: Hong, S., Morgan, B., Stocker, M., Smith, J., Kim, M., Cho, K. H., and Pachepsky, Y.: Assessing the effectiveness of remote sensing indices for predicting E. coli concentrations in an irrigation pond, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-7313, https://doi.org/10.5194/egusphere-egu25-7313, 2025.