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README.md

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+---
+license:
+- unknown
+task_categories:
+- image-segmentation
+language:
+- en
+tags:
+- remote-sensing
+- earth-observation
+- geospatial
+- satellite-imagery
+- flood-detection
+- sar-images
+- sentinel-1
+pretty_name: ETCI 2021 Flood Detection Dataset
+size_categories:
+- 1M<n<10M
+---
+
+# ETCI 2021 Flood Detection Dataset
+
+![ETCI 2021 Flood Detection](./thumbnail.jpg)
+
+## Description
+
+The [ETCI 2021 Flood Detection Dataset](https://nasa-impact.github.io/etci2021/) is a comprehensive flood detection segmentation dataset that focuses on SAR (Synthetic Aperture Radar) images taken by the [ESA Sentinel-1 satellite](https://sentinel.esa.int/web/sentinel/missions/sentinel-1). This dataset provides pairs of VV (Vertical Transmit, Vertical Receive) and VH (Vertical Transmit, Horizontal Receive) polarization images, which have been processed by the Hybrid Pluggable Processing Pipeline (hyp3). Additionally, the dataset includes corresponding binary flood and water body ground truth masks.
+
+The ataset is composed of 66,810 (33,405 x 2 VV & VH polarization) tiles of 256×256 pixels, distributed respectively across the training, validation and test sets as follows: 33,405, 10,400, and 12,348 tiles for each polarization. Each tile includes 3 RGB channels which have been converted by tiling 54 labeled GeoTIFF files generated from Sentinel-1 C-band synthetic aperture radar (SAR) imagery data using Hybrid Pluggable Processing Pipeline “hyp3”. Training tiles correspond to intensity values for VV and VH polarization with the following attributes.
+
+The ETCI 2021 dataset is valuable for flood detection and segmentation tasks and facilitates research and development in this domain.
+
+## Details
+
+## Structure
+
+```tree
+.
+├── README.md
+└── data
+    ├── test
+    │   ├── florence_20180510t231343
+    │   │   ├── tiles
+    │   │   │   ├── flood_label
+    │   │   │   │   ├── florence_20180510t231343_x-0_y-0_vv.png
+    │   │   │   │   └── ...
+    │   │   │   ├── vh
+    │   │   │   │   ├── florence_20180510t231343_x-0_y-0_vh.png
+    │   │   │   │   └── ...
+    │   │   │   ├── vv
+    │   │   │   │   ├── florence_20180510t231343_x-0_y-0_vv.png
+    │   │   │   │   └── ...
+    │   │   │   └── water_body_label
+    │   │   │       ├── florence_20180510t231343_x-0_y-0_vv.png
+    │   │   │       └── ...
+    │   │   └── ...
+    │   └── ...
+    ├── test_internal
+    │   └── ...
+    └── train
+        └── ...
+```
+
+### Statistics
+- Total Number of Images: 66,810
+- SAR Image Resolution: 256x256 pixels
+- Polarization: VV and VH
+- Ground Truth Masks: Binary flood and water body masks
+- Dataset Size: 5.6GB
+- File name prefix: `<region>_<datetime>*_x-*_y-*_<vv | vh>.png`
+
+## Citation
+
+If you use the ETCI 2021 Flood Detection dataset in your research, please consider citing the following publication or the dataset's official website:
+
+https://nasa-impact.github.io/etci2021/