| --- |
| license: mit |
| datasets: |
| - ibm-nasa-geospatial/Landslide4sense |
| language: |
| - en |
| --- |
| # *DeepSlide: Landslide Detection and Mapping Using Deep Learning Across Multi-Source Satellite Data and Geographic Regions* |
|
|
| Landslide4sense Dataset: |
|
|
| ```Landslide4sense Dataset |
| from datasets import load_dataset |
| |
| ds = load_dataset("harshinde/LandSlide4Sense") |
| ``` |
| Dataset [harshinde/LandSlide4Sense](https://huggingface.co/datasets/harshinde/LandSlide4Sense). |
|
|
| Wandb Results - https://wandb.ai/Silvamillion/Land4Sense |
|
|
| Paper - https://huggingface.co/papers/2507.01123 |
|
|
| ## 📄 Citation |
|
|
| If you use **DeepSlide-L4S-Code** or reference our work in your research, please cite our paper: |
|
|
| > Harsh Shinde, et al. *Landslide Detection and Mapping Using Deep Learning Across Multi-Source Satellite Data and Geographic Regions*, SSRN, 2024. |
| > DOI: [10.2139/ssrn.5225437](https://dx.doi.org/10.2139/ssrn.5225437) |
|
|
| BibTeX: |
| ```bibtex |
| @article{burange2025landslide, |
| title={Landslide Detection and Mapping Using Deep Learning Across Multi-Source Satellite Data and Geographic Regions}, |
| author={Burange, Rahul and Shinde, Harsh and Mutyalwar, Omkar}, |
| journal={Available at SSRN 5225437}, |
| year={2025} |
| eprint={5225437}, |
| archivePrefix={SSRN}, |
| doi={10.2139/ssrn.5225437}, |
| url={https://dx.doi.org/10.2139/ssrn.5225437} |
| } |
| |
