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GEE Count Values in Single Band

Center for Geographic Analysis at Harvard University profile image
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May 27, 2024 1:28 AM
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This KNIME node processes a Google Earth Engine (GEE) image to count the number of pixels that match specified category codes within defined regions (Feature Collection). The results are returned as a Feature Collection with the counts of each category code per region. Category Codes: Specify the category codes as a comma-separated string in the single band. Scale: Set the image_scale to define the resolution at which the image reduction should be performed. This is crucial for accurate results. Created By: Lingbo Liu lingboliu@fas.harvard.edu Spatial Data Lab project Center for Geographic Analysis Harvard University

Component details

Input ports
  1. Type: Python
    ee.ee.Feature Collection
    The input image object from Google Earth Engine.
  2. Type: Python
    ee.Feature Collection
    The input polygons defined by a GeoData.
Output ports
  1. Type: Python
    ee.Feature Collection
    A ee.Feature Collection containing the aggregated statistics for each region defined in the GeoData.

Used extensions & nodes

Created with KNIME Analytics Platform version 5.2.2
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    KNIME Base nodesTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 5.2.2

    knime
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    KNIME Python IntegrationTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 5.2.2

    knime
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    KNIME Quick FormsTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 5.2.2

    knime

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