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    Analytics Ready Data for CBERS4 MUX - Sample

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    Deployed on AWS
    Having Analytics Ready Data is crucial to extracting intelligence and insights from Earth Observation data. This Analytics Ready CBERS4 MUX sample dataset contains a time series stack over a small area for you to analyze prior to purchasing a larger coverage. Custom requests for other geographical area in the northern part of South America and/or other time ranges starting from 2017 to now is supported. Please contact info@urthecast with your custom request

    Overview

    Dataset Specification

    • Source: CBERS4 MUX (see https://registry.opendata.aws/cbers/ )
    • Resolution: 20m
    • Period: N/A
    • Band Combination:
      • Band 1 - Blue
      • Band 2 - Green
      • Band 3 - Red
      • Band 4 - Near Infrared
    • Processing Level: EarthDaily ARD
      • Orthorectified
      • Bottom of Atmosphere using ECMWF
      • Cross calibrated against Sentinel-2
    • Projection - UTM
    • Datum - WGS84
    • Format - Cloud Optimized GeoTIFF
    • Number of datasets - 2
    • File Structure
      • Image File - [DATASET NAME].tif
      • Image Metadata File - [DATASET NAME].json

    Details

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    Delivery method

    Deployed on AWS
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    Analytics Ready Data for CBERS4 MUX - Sample

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    This product is available free of charge. Free subscriptions have no end date and may be canceled any time.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

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    No refunds available.

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    Delivery details

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    AWS Data Exchange is a service that helps AWS easily share and manage data entitlements from other organizations at scale.

    Additional details

    Data sets (1)

     Info

    You will receive access to the following data sets.

    Data set name
    Type
    Historical revisions
    Future revisions
    Sensitive information
    Data dictionaries
    Data samples
    ARD CBERS4 MUX (BOA) - Paraguay 2019 (Sample)
    All historical revisions
    All future revisions
    Not included
    Not included

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