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Full catalog/naip
naip·dataset

US high-resolution aerial farm imagery (NAIP)

NAIP: National Agriculture Imagery Program
land USDA USDA NAIP AWS Earth Search COG
In plain English

What it measures. It shows sharp, detailed overhead photos of the entire United States in red, green, blue, and near-infrared, so you can see individual fields, roads, and buildings clearly. The infrared band helps reveal how healthy and green plants are.

How it's made. Captured from aircraft flying over the country, organized by the USDA's Aerial Field Photography Office, with each state photographed at least once every three years and delivered as cloud-friendly GeoTIFF files.

How & where you'd use it. Great for agriculture and mapping work, like checking crop conditions, tracking land use, planning, and creating up-to-date base maps of any part of the U.S.

What's measured

NAIPAerialImageryUSDAAFPOAgricultureUnited States

Coverage & cadence

  • Time span2010-01-01 → 2022-12-31
  • Spatial extent-160, 17, -67, 50
  • FormatsCOG

What you can do with it

  • Track deforestation, fire scars and land-cover change
  • Monitor crop and vegetation health (NDVI/EVI)
  • Map how built-up vs. green an area is over time
Official description

The National Agriculture Imagery Program (NAIP) provides U.S.-wide, high-resolution aerial imagery, with four spectral bands (R, G, B, IR). NAIP is administered by the Aerial Field Photography Office (AFPO) within the US Department of Agriculture (USDA). Data are captured at least once every three years for each state. This dataset represents NAIP data from 2010-present, in cloud-optimized GeoTIFF format.

Get the data

earthsearch_access.py
# AWS Earth Search — anonymous, no login (cloud-optimized on S3)
from pystac_client import Client

cat = Client.open("https://earth-search.aws.element84.com/v1")
items = cat.search(
    collections=["naip"],
    bbox=(-122.5, 37.2, -121.8, 37.9),   # your area (W,S,E,N)
    datetime="2024-01-01/2024-12-31",
).item_collection()                       # open assets with rioxarray / stackstac
On AWS Earth Search — anonymous public S3, no login at all.