Bridging the Fleet Distribution Data Gap with Satellite Imagery and Deep Learning for GHG Estimation

Bilal Aslam; Toby Hocking; Pawlok Dass; Anna Kato; Kevin Gurney

doi:https://doi.org/10.5194/egusphere-egu25-8355

[Back] [Session AS3.43]

EGU25-8355, updated on 14 Mar 2025

https://doi.org/10.5194/egusphere-egu25-8355

EGU General Assembly 2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Bridging the Fleet Distribution Data Gap with Satellite Imagery and Deep Learning for GHG Estimation

Bilal Aslam¹, Toby Hocking², Pawlok Dass¹, Anna Kato¹, and Kevin Gurney¹

Bilal Aslam et al.

¹School of Informatics, Computing, and Cyber Systems, Northern Arizona University
²Département d'informatique, Université de Sherbrooke

How to cite: Aslam, B., Hocking, T., Dass, P., Kato, A., and Gurney, K.: Bridging the Fleet Distribution Data Gap with Satellite Imagery and Deep Learning for GHG Estimation, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-8355, https://doi.org/10.5194/egusphere-egu25-8355, 2025.

This abstract has been withdrawn on 22 Apr 2025.