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    Forest Cover Classification Map for Sumatra

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    Deployed on AWS
    Add high-accuracy land cover data to your sustainable sourcing efforts with detailed forest maps for 2017 over Sumatra, Indonesia. These maps are an example of how you can enable the targeted conservation of mature forests for carbon and biodiversity commitments.

    Overview

    Forest Cover Classification Map Data Product Overview

    Land use and land cover (LULC) maps from Descartes Labs provide organizations with valuable information about the interaction of supply chain operations and the natural environment.

    Thousands of expert-labeled, 10-meter resolution Sentinel-2 and Landsat training images were mapped over distinct timeframes to build a regional forest classification layer for 2017 over Sumatra, Indonesia. These maps identify forest areas that have remained undisturbed from 1990 to 2017, generally equating to primary forest.

    Classifications derived from Sentinel-2 imagery achieved approximately 97% accuracy against withheld validation data.

    The final data product can be used with a high degree of confidence to identify forests for conservation or to assess the impact of supply chain operations on particular land cover categories.


    Use Cases

    • Corporations can identify areas of deforestation risk and assess where to limit supply chain operations
    • Governments can pinpoint and protect high-value forest areas for conservation
    • NGOs and consultants can target high-risk regions for future monitoring

    Metadata

    DescriptionValue
    Update FrequencyAs Needed
    Data Source(s)Satellite & AI
    Original Publisher of dataDescartes Labs
    Geographic coverageSumatra, Indonesia
    Time period coverage2017
    Is historical data “point-in-time”No
    Data Set(s) Format(s)GeoTIFF

    Pricing Information

    This is a free data sample with a 1-month subscription term.


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    About Descartes Labs

    Descartes Labs is a technology company that automates the analysis of geospatial data to help organizations answer key questions about the physical world. With our SaaS platform, we enable the analysis of earth observation data at scale, providing services and solutions across commodity sourcing and forecasting, resource exploration, and climate resilience, while also supporting diverse federal government efforts to gather, analyze, and provide actionable insights from geospatial data. Descartes Labs has over 120 employees and is headquartered in Santa Fe, New Mexico.

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    Pricing

    Forest Cover Classification Map for Sumatra

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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.

    Vendor refund policy

    Refunds are not offered for this product.

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    AWS Data Exchange (ADX)

    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)

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    You will receive access to the following data sets.

    Data set name
    Type
    Historical revisions
    Future revisions
    Sensitive information
    Data dictionaries
    Data samples
    Forest Cover Classification Map for Sumatra
    All historical revisions
    All future revisions
    Not included
    Not included

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