# raoofnaushad/Land-Cover-Classification-using-Sentinel-2-Dataset

<https://repo.masters-masters.com/en/repos/raoofnaushad/Land-Cover-Classification-using-Sentinel-2-Dataset>

[Home](https://repo.masters-masters.com/en) › [raoofnaushad](https://repo.masters-masters.com/en/owners/raoofnaushad) › [Land-Cover-Classification-using-Sentinel-2-Dataset](https://repo.masters-masters.com/en/repos/raoofnaushad/Land-Cover-Classification-using-Sentinel-2-Dataset)

raoofnaushad/Land-Cover-Classification-using-Sentinel-2-Dataset has 105 stars on GitHub. Its RepoMasters card: Prototype tier. Application of deep learning on…

| Field | Value |
| --- | --- |
| Owner | [raoofnaushad](https://repo.masters-masters.com/en/owners/raoofnaushad) |
| Stars | 105 |
| Forks | 32 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2020 |
| Topics | geospatial, data-science, satellite-imagery, geospatial-data, transfer-learning, deep-learning, machine-learning, sentinel-2, land-cover-classification, land-use-classification |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [raoofnaushad/Land-Cover-Classification-using-Sentinel-2-Dataset](https://github.com/raoofnaushad/Land-Cover-Classification-using-Sentinel-2-Dataset) |

## Repository

Application of deep learning on Satellite Imagery of Sentinel-2 satellite that move around the earth from June, 2015. This image patches can be trained and classified using transfer learning techniques.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.