Sold by: Frederico Liporace
Open data
|
Deployed on AWS
Imagery acquired
by Amazonia-1 satellite.
The
image files are recorded and processed by Instituto Nacional de Pesquisas
Espaciais (INPE) and are converted to Cloud Optimized Geotiff
format in order to optimize its use for cloud based applications.
WFI Level 4 (Orthorectified) scenes are being
ingested daily starting from 08-29-2022, the complete
Level 4 archive will be ingested by the end of October 2022.
Overview
Imagery acquired by Amazonia-1 satellite. The image files are recorded and processed by Instituto Nacional de Pesquisas Espaciais (INPE) and are converted to Cloud Optimized Geotiff format in order to optimize its use for cloud based applications. WFI Level 4 (Orthorectified) scenes are being ingested daily starting from 08-29-2022, the complete Level 4 archive will be ingested by the end of October 2022.
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.
Legal
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
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
- Amazonia 1 imagery (COG files, quicklooks, metadata)
- Resource type
- S3 bucket
- Amazon Resource Name (ARN)
- arn:aws:s3:::brazil-eosats
- AWS region
- us-west-2
- AWS CLI access (No AWS account required)
- aws s3 ls --no-sign-request s3://brazil-eosats/
- Description
- STAC static catalog
- Resource type
- S3 bucket
- Amazon Resource Name (ARN)
- arn:aws:s3:::br-eo-stac-1-0-0
- AWS region
- us-west-2
- AWS CLI access (No AWS account required)
- aws s3 ls --no-sign-request s3://br-eo-stac-1-0-0/
- Description
- Notifications for new quicklooks
- Resource type
- SNS topic
- Amazon Resource Name (ARN)
- arn:aws:sns:us-west-2:599544552497:NewAM1Quicklook
- AWS region
- us-west-2
- Description
- Topic that receives STAC V1.0.0 items as new scenes are ingested
- Resource type
- SNS topic
- Amazon Resource Name (ARN)
- arn:aws:sns:us-west-2:769537946825:br-eo-stac-prod-stacitemtopic4BCE3141-Z8he7LYjqXFe
- AWS region
- us-west-2
Resources
Vendor resources
Support
Managed By
How to cite
Amazonia EO satellite on AWS was accessed on DATE from https://registry.opendata.aws/amazonia .
Similar products
AM1EPHNE is the Terra Near Real Time (NRT) 2-hour spacecraft Extrapolated ephemeris data file in native format. The file name format is the following: AM1EPHNE.Ayyyyddd.hhmm.vvv.yyyydddhhmmss where from left to right: E = Extrapolated; N = Native format; A = AM1 (Terra); yyyy = data year, ddd = Julian data day, hh = data hour, mm = data minute; vvv = Version ID; yyyy = production year, ddd = Julian production day, hh = production hour, mm = production minute, and ss = production second. Data set information:http://modis.gsfc.nasa.gov/sci_team/
MODISAQUAL3SSTMID-IR8DAY4KMNIGHTTIMEV2019.0
Day and night spatially gridded (L3) global NASA skin sea surface temperature (SST) products from the Moderate-resolution Imaging Spectroradiometer (MODIS) onboard the Aqua satellite. Average daily, weekly (8 day), monthly and annual skin SST products at are available at both 4.63 and 9.26 km spatial resolution. Aqua was launched by NASA on May 4, 2002, into a sun synchronous, po[...]
SpaceEye-T satellite collects the highest resolution optical imagery among the commercial satellites, 25 cm resolution. The Open Data features various satellite images around the world for end users to experience the power of VVHR optical data.
EOSDA Crop Monitoring - digital satellite-based one-stop precision agriculture platform for field monitoring. Classification of field crops is an essential part of agriculture as a business. EOSDA offers a fast and easy solution relying on years of experience in precision agriculture, as well as expertise in the application of AI-powered algorithms, and remote sensing.
Earth observation (EO) data cubes produced from analysis-ready data (ARD) of CBERS-4, Sentinel-2 A/B and Landsat-8 satellite images for Brazil. The datacubes are regular in time and use a hierarchical tiling system. Further details are described in Ferreira et al. (2020).