https://github.com/prs-eth/snowdepthestimation
https://github.com/prs-eth/snowdepthestimation
Last synced: 10 months ago
JSON representation
- Host: GitHub
- URL: https://github.com/prs-eth/snowdepthestimation
- Owner: prs-eth
- License: mit
- Created: 2024-01-11T18:41:04.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2024-01-11T18:57:28.000Z (over 2 years ago)
- Last Synced: 2025-03-30T14:22:49.293Z (over 1 year ago)
- Language: Python
- Size: 670 KB
- Stars: 8
- Watchers: 3
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Snow-Depth-Estimation
This repository contains code for
[Daudt, R.C., Wulf, H., Hafner, E.D., Bühler, Y., Schindler, K. and Wegner, J.D., 2023. Snow depth estimation at country-scale with high spatial and temporal resolution. ISPRS Journal of Photogrammetry and Remote Sensing, 197, pp.105-121.](https://www.sciencedirect.com/science/article/pii/S0924271623000230)
## Disclaimer
For various reasons, data to reproduce the experiments presented in the paper can not be shared. Nevertheless, the code in this repository aims to help others understand the details of how exactly the neural networks were trained and applied. A dummy dataloader is provided such that the code should be able to be run for "training" the network.
## Data
Sentinel-1 and Sentinel-2 data can be downloaded directly using the sentinelsat api.
High quality snow depth maps are available here: [https://www.envidat.ch/dataset/snow-depth-mapping-by-airplane-photogrammetry-2017-ongoing](https://www.envidat.ch/dataset/snow-depth-mapping-by-airplane-photogrammetry-2017-ongoing)
## Sources
Code in this repository contains adapted code from [CycleGAN](https://github.com/junyanz/CycleGAN), [MEDUSA](https://github.com/aboulch/medusa_tb), and [ConvSTAR](https://github.com/0zgur0/multi-stage-convSTAR-network).