Rainfall intensity estimations based on degradation characteristics of images taken with commercial cameras

Kanazawa, Akito; Uchida, Taro

doi:https://doi.org/10.5194/hess-29-3165-2025

Articles | Volume 29, issue 14

https://doi.org/10.5194/hess-29-3165-2025

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

https://doi.org/10.5194/hess-29-3165-2025

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

Articles | Volume 29, issue 14

Research article

|

24 Jul 2025

Research article |

| 24 Jul 2025

Rainfall intensity estimations based on degradation characteristics of images taken with commercial cameras

Akito Kanazawa and Taro Uchida

Supplement

https://doi.org/10.5194/hess-29-3165-2025-supplement

Data sets

Dataset for "Rainfall intensity estimations based on degradation characteristics of images taken with commercial cameras" (1/3) Kanazawa Akito https://doi.org/10.5281/zenodo.7163149

Dataset for "Rainfall intensity estimations based on degradation characteristics of images taken with commercial cameras" (2/3) Kanazawa Akito https://doi.org/10.5281/zenodo.7166150

Dataset for "Rainfall intensity estimations based on degradation characteristics of images taken with commercial cameras" (3/3) Kanazawa Akito https://doi.org/10.5281/zenodo.7166178

Supplement for "Rainfall intensity estimations based on degradation characteristics of images taken with commercial cameras" Kanazawa Akito https://doi.org/10.5281/zenodo.13337020

Model code and software

Codes for "Rainfall intensity estimations based on degradation characteristics of images taken with commercial cameras'" Kanazawa Akito https://doi.org/10.5281/zenodo.16305949

Short summary

Camera-based rainfall observation can measure rainfall with high spatiotemporal resolution and low cost. This study proposed a method for estimating rainfall intensity from images using the relationship between image information and rainfall intensity. The method was applied to outdoor cameras, and rainfall intensity could be estimated from the images. The method has the potential to facilitate the development of a camera-based rainfall observation technology that is accurate and versatile.