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Description
The continental United States is covered by this remote sensing dataset. It consists of aligned images from NAIP, Sentinel-2, Sentinel-1, and Landsat satellites, divided into 512x512 pixel tiles. The dataset was created by AllenAI and was last updated on the platform in March 2026.
Use Cases
Land cover classification based on aligned multi-sensor imagery.
Change detection over time based on the availability of multiple Sentinel-2 images per tile.
Training models for super-resolution or sensor fusion based on the alignment of NAIP, Sentinel-2, Sentinel-1, and Landsat data.
Agricultural monitoring based on high-resolution NAIP imagery and multi-temporal satellite data.
Strengths
Data is aligned across four major satellite imagery sources: NAIP, Sentinel-2, Sentinel-1, and Landsat.
NAIP imagery is provided at a high resolution of 1.25 meters per pixel.
Covers the entire continental United States, divided into standardized 512x512 pixel tiles.
Limitations
Column-level documentation is absent; field semantics must be inferred after download.
Row count and total dataset size are unknown, which may limit suitability assessment.
The description metadata is limited; actual data quality requires manual inspection after download.
Provenance
Source
AllenAI (Allen Institute for AI).
Collection Method
Aggregated and aligned from public satellite imagery programs: NAIP, Sentinel-2, Sentinel-1, and Landsat.
Time Range
NAIP imagery is from 2019-2021; Sentinel-2 images are captured within a period surrounding that timeframe.
Freshness
Last updated 2026-03-26 16:46:49; freshness should be verified.
Geography
Continental United States.
License is unknown and must be verified before use.