Sold by: Esri
Open data
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Deployed on AWS
The National Agriculture Imagery Program (NAIP) acquires aerial imagery during the agricultural growing seasons in the continental U.S. This "leaf-on" imagery andtypically ranges from 30 centimeters to 100 centimeters in resolution and is available from the naip-analytic Amazon S3 bucket as 4-band (RGB + NIR) imagery in MRF format, on naip-source Amazon S3 bucket as 4-band (RGB + NIR) in uncompressed Raw GeoTiff format and naip-visualization as 3-band (RGB) Cloud Optimized GeoTiff format. More details on [NAIP](https://naip-usdaonline.hub.arcgis.com/)
Overview
The National Agriculture Imagery Program (NAIP) acquires aerial imagery during the agricultural growing seasons in the continental U.S. This "leaf-on" imagery andtypically ranges from 30 centimeters to 100 centimeters in resolution and is available from the naip-analytic Amazon S3 bucket as 4-band (RGB + NIR) imagery in MRF format, on naip-source Amazon S3 bucket as 4-band (RGB + NIR) in uncompressed Raw GeoTiff format and naip-visualization as 3-band (RGB) Cloud Optimized GeoTiff format. More details on NAIP
Features and programs
Open Data Sponsorship Program
This dataset is part of the Open Data Sponsorship Program, an AWS program that covers the cost of storage for publicly available high-value cloud-optimized datasets.
Pricing
This is a publicly available data set. No subscription is required.
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Delivery details
AWS Data Exchange (ADX)
AWS Data Exchange is a service that helps AWS easily share and manage data entitlements from other organizations at scale.
Open data resources
Available with or without an AWS account.
- How to use
- To access these resources, reference the Amazon Resource Name (ARN) using the AWS Command Line Interface (CLI). Learn more
- Description
- The data in this bucket is 4-band (RGB + NIR) in MRF format and Cloud Optimized GeoTIFF (COG) processed by Esri. The MRF format is a cloud-optimized open data format that provides fast access to data on S3. MRF can be accessed using GDAL and most applications build using GDAL, but also directly by web applications. Data is provided as 512x512 tiles, with reduced-resolution pyramids created using 2x sampling by averaging. Finally, data compression is efficient and lossless (meaning the data values here are the same as the source). A Cloud Optimized GeoTIFF (COG) is a GeoTIFF file optimized for hosting on a HTTP file server. COG has an internal organization that enables more efficient workflows on the cloud by supporting HTTP GET range requests, where just parts of a file are requested and returned. The bucket is set as a Requester Pays bucket.
- Resource type
- S3 bucket
- Amazon Resource Name (ARN)
- arn:aws:s3:::naip-analytic
- AWS region
- us-west-2
- AWS CLI access (No AWS account required)
- aws s3 ls --no-sign-request s3://naip-analytic/
- Description
- The data in this bucket is Original Imagery in Geotiff format 4-band (RGB + NIR) uncompressed no overviews and metadata in a Requester Pays bucket
- Resource type
- S3 bucket
- Amazon Resource Name (ARN)
- arn:aws:s3:::naip-source
- AWS region
- us-west-2
- AWS CLI access (No AWS account required)
- aws s3 ls --no-sign-request s3://naip-source/
- Description
- The data in this bucket is 3 band RGB in Geotiff format. It is converted and managed by Esri. This imagery is provided as Cloud Optimized GeoTIFFs, has been compressed using YCbCr JPEG with quality 85. It is provided as 512x512 tiles, with pyramids created using 2x sampling by averaging. The bucket is set as a Requester Pays bucket.
- Resource type
- S3 bucket
- Amazon Resource Name (ARN)
- arn:aws:s3:::naip-visualization
- AWS region
- us-west-2
- AWS CLI access (No AWS account required)
- aws s3 ls --no-sign-request s3://naip-visualization/
Resources
Vendor resources
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How to cite
NAIP on AWS was accessed on DATE from https://registry.opendata.aws/naip .
License
Public Domain with Attribution
Similar products
National Agriculture Imagery Program (NAIP) dataset providing high-resolution aerial imagery for agricultural monitoring, land use analysis, and natural resource management.
Canopy Tree Height maps for California in 2020. Created using a deep learning model on very-high-resolution airborne imagery from the National Agriculture Imagery Program (NAIP) by United States Department of Agriculture (USDA).