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Cropped Raster Data for agribusiness

WDRVI cropped raster
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Cropped raster data based on field boundary sounds very simple. Some data sources are rasters with pixels and a resolution of 3m/10m/30m, others – are vectors with polygons or multipolygons.

The accurate boundary of the cropped raster data is tricky. The default output most gis and precision agriculture software have is a pixelated raster. Precise data evaluation close to the field boundary helps you better to understand, for example, canopy conditions, slope value. 

Examples of pixelated rasters:

Near-infrared pixelated raster
Near-infrared pixelated raster
Elevation pixelated raster
Elevation pixelated raster

Is it possible to improve and to make it more accurate?

Yes, GeoPard does that and even makes data available for further integration via API. Some examples:

  • Crop of raw (RedGreenBlue and NearInfrared views) satellite imagery based on field boundary:
RGB cropped raster
GeoPard Agriculture RGB cropped raster
Near-infrared cropped raster
GeoPard Agriculture Near-infrared cropped raster

  • Crop of satellite imagery with vegetation index like WDRVI based on the field boundary:
  • WDRVI cropped raster
    GeoPard Agriculture WDRVI cropped raster

  • Crop of digital topography dataset (elevation and roughness) based on the field boundary:
  • Elevation cropped raster
    GeoPard Agriculture Elevation cropped raster
    Roughness cropped raster
    GeoPard Agriculture Roughness cropped raster

    How it looks in GeoPard interface and how it can be integrated in your ag tech solution:

    GeoPard Agriculture NIR cropped raster
    GeoPard Agriculture NIR cropped raster
    GeoPard Agriculture Relief Position
    GeoPard Agriculture Relief Position
    GeoPard Agriculture WDRVI
    GeoPard Agriculture WDRVI

    We at GeoPard understand the value of such details and are constantly working to improve the solution.

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