AI2 S2 NAIP is a remote sensing dataset consisting of aligned NAIP, Sentinel 2, Sentinel 1, and Landsat images spanning the entire continental US. Data is divided into tiles. Each tile spans 512x512 pixels at 1.25 m/pixel in one of the 10 UTM projections covering the continental US. At each tile, the following data is available: National Agriculture Imagery Program (NAIP): an image from 2019 2021 at 1.25 m/pixel (512x512). Sentinel 2 (L1C): between 16 and 32 images captured within a few months of the NAIP image at 10 m/pixel (64x64). Sentinel 1: between 2 and 8 images captured within a few months of the NAIP image at 10 m/pixel (64x64). Landsat 8/9: 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). AI2 S2 NAIP is applicable to several supervised and unsupervised tasks in remote sensing, including super resolution (e.g. NAIP Sentinel 2), segmentation and detection (e.g. NAIP or Sentinel 2 OpenStreetMap or WorldCover), and multi modal masked autoencoder pre tr…
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