README.md

---
license: cc-by-nc-4.0
task_categories:
- image-segmentation
language:
- en
tags:
- Remote Sensing Images
- Satellite Images
- Grass
- Cloud
---

# KTDA-Datasets

This dataset card aims to describe the datasets used in the [KTDA](https://xavierjiezou.github.io/KTDA/).

## Install

```bash
pip install huggingface-hub
```

## Usage

```bash
# Step 1: Download datasets
huggingface-cli download --repo-type dataset XavierJiezou/ktda-datasets --local-dir data --include grass.zip 
huggingface-cli download --repo-type dataset XavierJiezou/ktda-datasets --local-dir data --include cloud.zip

# Step 2: Extract datasets
unzip grass.zip -d grass
unzip cloud.zip -d l8_biome
```

## Source Data

- l8_biome: https://landsat.usgs.gov/landsat-8-cloud-cover-assessment-validation-data

## Citation

```bib
@article{l8_biome,
    title = {Cloud detection algorithm comparison and validation for operational Landsat data products},
    journal = {Remote Sensing of Environment},
    volume = {194},
    pages = {379-390},
    year = {2017},
    author = {Steve Foga and Pat L. Scaramuzza and Song Guo and Zhe Zhu and Ronald D. Dilley and Tim Beckmann and Gail L. Schmidt and John L. Dwyer and M. {Joseph Hughes} and Brady Laue}
}
```

## Contact

For questions, please contact Xavier Jiezou at xuechaozou (at) foxmail (dot) com.