| This dataset consists of 85066 train, 515 validation, and 1018 test samples, each containing images from NAIP, Sentinel-1, and Sentinel-2. The folder of train images is split into three parts due to its size; you will need to combine them after downloading. The format of each sample is as follows: | |
| train_dataset/ | |
| [latitude]_[longitude]/ | |
| naip.png | |
| sentinel-1.npy | |
| sentinel-2-10m.npy | |
| sentinel-2-20m.npy | |
| sentinel-2-60m.npy | |
| The NAIP image is stored as a 4-channel PNG image with the NIR band in the alpha channel. The other images are stored directly as NumPy arrays. The channels in each image are in the following order: | |
| sentinel-1: VV, VH | |
| sentinel-2-10m: red, green, blue, NIR | |
| sentinel-2-20m: RE1, RE2, RE3, RE4, SWIR1, SWIR2 | |
| sentinel-2-60m: coastal aerosol, water vapor, cirrus | |
| The labels are found in the corresponding GeoJSON file for each dataset, which contains the following columns: | |
| Latitude: latitude coordinate of the image center | |
| Longitude: longitude coordinate of the image center | |
| Type: label of facility or facilities present in the image | |
| Source: data source the coordinates originally came from | |
| Image_Folder: folder in the dataset where the image can be found | |
| geometry: bounding box for the area covered by the image | |