🤗 Add DatasetCard

README.md

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+---
+language: en
+license: unknown
+task_categories:
+- image-classification
+paperswithcode_id: firerisk
+pretty_name: FireRisk
+tags:
+- remote-sensing
+- earth-observation
+- geospatial
+- aerial-imagery
+- land-cover-classification
+---
+
+# FireRisk
+
+<!-- Dataset thumbnail -->
+![FireRisk](./thumbnail.jpg)
+
+<!-- Provide a quick summary of the dataset. -->
+The FireRisk dataset is a dataset for remote sensing fire risk classification.
+- **Paper:** https://arxiv.org/abs/2303.07035
+- **Homepage:** https://github.com/CharmonyShen/FireRisk
+
+## Description
+
+<!-- Provide a longer summary of what this dataset is. -->
+
+
+- **Total Number of Images**: 91872
+- **Bands**: 3 (RGB)
+- **Image Size**: 320x320
+- **101,878 tree annotations**
+- **Image Resolution**: 1m
+- **Land Cover Classes**: 7
+- **Classes**: high, low, moderate, non-burnable, very_high, very_low, water
+- **Source**: NAIP Aerial
+
+
+## Usage
+
+To use this dataset, simply use `datasets.load_dataset("blanchon/FireRisk")`.
+<!-- Provide any additional information on how to use this dataset. -->
+```python
+from datasets import load_dataset
+FireRisk = load_dataset("blanchon/FireRisk")
+```
+
+## Citation 
+
+<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
+If you use the EuroSAT dataset in your research, please consider citing the following publication:
+
+
+```bibtex
+@article{shen2023firerisk,
+  title   = {FireRisk: A Remote Sensing Dataset for Fire Risk Assessment with Benchmarks Using Supervised and Self-supervised Learning},
+  author  = {Shuchang Shen and Sachith Seneviratne and Xinye Wanyan and Michael Kirley},
+  year    = {2023},
+  journal = {arXiv preprint arXiv: 2303.07035}
+}
+```