README.md

---
license: apache-2.0
---

NAIP-S2 is a super-resolution dataset for remote sensing consisting of paired NAIP and Sentinel-2 images in the continental US.

Data is divided into tiles.
Each tile spans 512x512 pixels at 1.25 m/pixel in a UTM projection.
At each tile, the following data is available:

- NAIP: an image from 2019-2021 at 1.25 m/pixel (512x512).
- Sentinel-2: between 16 and 32 images captured within a few months of the NAIP image at 10 m/pixel (64x64).
- Sentinel-1: 4 images captured in the same year as the NAIP image at 10 m/pixel (64x64).
- Landsat: 4 images captured in the same year as the NAIP image at 10 m/pixel (64x64).
- OpenStreetMap: a GeoJSON containing buildings, roads, and 30 other categories. It uses pixel coordinates relative to the 512x512 NAIP image.
- WorldCover: the 2021 land cover image at 10 m/pixel (64x64).


Structure
---------

Once extracted, the dataset contains the different data types in different folders.
Each folder contains files named by a tile ID, which consists of the UTM projection, column, and row.
The column and row are based on tiles that are 512x512 pixels with pixel coordinates at 1.25 m/pixel, e.g. `32612_960_-6049.png` spans (614400, -3871360) to (615040, -3870720) in projection units.

Here is an example of NAIP data:

```
naip/
    32612_960_-6049.png
    32612_960_-6050.png
    32612_960_-6051.png
    ...
```

And an example of Sentinel-2 data:

```
sentinel2/
    32612_960_-6049_16.tif
    32612_960_-6049_32.tif
    32612_960_-6049_8.tif
    32612_960_-6050_16.tif
    ...
```

Note that the Sentinel-2 images are GeoTIFFs so they contain georeference metadata.
Furthermore, the 10 m/pixel (`_8.tif`), 20 m/pixel (`_16.tif`), and 60 m/pixel (`_32.tif`) bands are stored separately.