README

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