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https://github.com/harshshinde0/deepslide

Landslide Detection and Mapping Using Deep Learning Across Multi-Source Satellite Data and Geographic Regions
https://github.com/harshshinde0/deepslide

computer-vision deep-learning geospatial image-processing machine-learning remote-sensing

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Landslide Detection and Mapping Using Deep Learning Across Multi-Source Satellite Data and Geographic Regions

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README

          

# *DeepSlide: Landslide Detection and Mapping Using Deep Learning Across Multi-Source Satellite Data and Geographic Regions*
*https://harshshinde0.github.io/Deepslide/*

Landslide4sense Dataset:

```Landslide4sense Dataset
from datasets import load_dataset

ds = load_dataset("harshinde/LandSlide4Sense")
```
Deepslide Models - [harshinde/DeepSlide_Models](https://huggingface.co/harshinde/DeepSlide_Models)

Dataset [harshinde/LandSlide4Sense](https://huggingface.co/datasets/harshinde/LandSlide4Sense)

Wandb Results - https://wandb.ai/Silvamillion/Land4Sense

Paper - https://dx.doi.org/10.2139/ssrn.5225437

## 📄 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}
}