Multi-Layer Analytics

With GeoPard, you can integrate multiple data layers to create management zones. You control weights, indices, the number of zones, clustering type, and minimum polygon area.

Interactive demo - multi-layer zones creating

Precision agriculture generates large amounts of data, including yield data, satellite imagery, and soil fertility layers. Many teams still struggle to turn those layers into useful insights and actions. In precision agriculture, management zones are parts of a field with similar yield potential based on soil type, slope position, soil chemistry, microclimate, or other crop-driving factors. Local field knowledge is also an important part of the process. Management zones help optimize crop inputs and yield potential.

The main challenge is building management zones that reflect real field variability. Combining layers such as satellite imagery, soil fertility, topography derivatives, and yield monitor data is the next logical step toward more responsive management zones.

Multi-layer analytics (also known as integrated analysis) is becoming a part of the GeoPard geospatial analytics engine.

Classic combinations for integrated analysis include one or more yield datasets, an NDVI map, elevation, and soil sensor physicochemical characteristics. GeoPard supports these parameters and also lets you include other field data layers already available in the system or uploaded directly by the user, such as soil sampling and yield datasets. As a result, you can work with a full set of parameters for integrated analytics:

Yield data Remote sensing data:

• Potential productivity map (single-year and multi-year)

• Stability/variation map

• Vegetation indices NDVI, EVI2, WDRVI, LAI, SAVI, OSAVI, GCI, GNDVI

Topography:

• Elevation

• Slope

• Curvature

• Wetness index

• Aspect

• Hillshades

• Ruggedness

• Roughness

Soil data:

• pH

• CEC (cation exchange capacity)

• SOM (soil organic matter)

• K (potassium)

• Thin topsoil depth, lower available water holding capacity (drought-prone soil)

• EC (electrical conductivity)

• and other chemical attributes available in the uploaded dataset

It’s important to note that you can configure custom factors for every data layer to assign the desired weight. You can build management zone maps based on your knowledge of the field while selecting data sources and their weights in GeoPard.

The images below show a sample field with data layers such as an 18-year productivity map, digital elevation model, slope, hillshade, and 2019 yield data, along with different integrated analytics outputs. You can follow how the management zones evolve as additional layers are added.