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:
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:
How it looks in GeoPard interface and how it can be integrated in your ag tech solution:
We at GeoPard understand the value of such details and are constantly working to improve the solution.
Topography
