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AI2‑S2‑NAIP is a remote‑sensing dataset that includes aligned NAIP, Sentinel‑2, Sentinel‑1 and Landsat imagery covering the entire contiguous United States. The data are tiled into 512 × 512‑pixel patches at 1.25 m/pixel resolution and are distributed across ten UTM zones. Each tile contains multiple data modalities, such as NAIP images (2019–2021, 1.25 m/pixel), Sentinel‑2 and Sentinel‑1 images (10 m/pixel), Landsat‑8/9 images (10 m/pixel), OpenStreetMap GeoJSON (buildings, roads, etc.), and the 2021 WorldCover land‑cover map (10 m/pixel). These data support a range of supervised and unsupervised remote‑sensing tasks, including super‑resolution, segmentation, detection, and multimodal mask auto‑encoder pre‑training.

The FireRisk dataset is a remote‑sensing fire‑risk classification collection. It contains RGB three‑band images of size 320 × 320 pixels at 1‑meter resolution. The dataset comprises 91,872 images and 101,878 tree annotations across seven land‑cover classes: high, low, moderate, non‑burnable, very high, very low, and water. The source imagery is NAIP aerial photography.