EGU25-19332, updated on 15 Mar 2025
https://doi.org/10.5194/egusphere-egu25-19332
EGU General Assembly 2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Dynamic monitoring and mapping of water quality indicators using multi-modal and multi-scale satellite imagery, UAVs, and open-source cloud computing platform
Abhinav Galodha1,2, Maria-Valasia Peppa2, Sam Wilson3, Sanya Anees4, Brejesh Lall5, and Shaikh Ziauddin Ahammad6
Abhinav Galodha et al.
  • 1School of Interdisciplinary Research (SIRe), Indian Institute of Technology Delhi, IIT Delhi
  • 2School of Engineering (SoE), Newcastle University, United Kingdom
  • 3School of Natural and Environmental Sciences (SNES), Newcastle University, United Kingdom
  • 4Department of Electronics and Communication Engineering, Netaji Subhas University of Technology (NSUT)
  • 5Department of Electrical Engineering, Indian Institute of Technology Delhi, IIT Delhi
  • 6Department of Biochemical Engineering and Biotechnology, Indian Institute of Technology Delhi, IIT Delhi

How to cite: Galodha, A., Peppa, M.-V., Wilson, S., Anees, S., Lall, B., and Ahammad, S. Z.: Dynamic monitoring and mapping of water quality indicators using multi-modal and multi-scale satellite imagery, UAVs, and open-source cloud computing platform, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-19332, https://doi.org/10.5194/egusphere-egu25-19332, 2025.

This abstract has been withdrawn on 25 Jul 2025.