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Agriculture and forestry intelligence depends on spatial insights derived from satellite imagery, field sensors, and geospatial boundaries. With Wherobots, you can build multi-temporal imagery mosaics, detect field boundaries, estimate canopy height, and summarize raster data per field or parcel.

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Examples

Field Boundary Detection

Automatically delineate agricultural field boundaries from Sentinel-2 satellite imagery using RasterFlow’s Fields of the World model.

Growing Season Imagery

Build cloud-free Sentinel-2 mosaics over your fields for a growing season, the input for vegetation and crop analysis.

Canopy Height & Forest Inventory

Estimate tree canopy height from aerial imagery to support forest inventory, carbon accounting, and timber volume calculations.

Land Cover Analysis

Explore ESA WorldCover land cover data at regional or national scale to inform land management decisions.

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Key Capabilities

Run the Fields of the World model through RasterFlow to detect and vectorize field boundaries from Sentinel-2 imagery. Generate ready-to-use polygon datasets for downstream analysis.

Detecting field boundaries

Delineate every field so metrics can be summarized per parcel.
Apply RasterFlow’s canopy height model to aerial imagery to produce high-resolution height maps. Use the results for forest carbon estimation, timber planning, or urban tree inventory.

Estimating canopy height

Predict tree heights from aerial imagery.
Calculate per-field or per-parcel statistics from raster layers, including mean NDVI, land cover percentages, and elevation summaries, using WherobotsDB zonal statistics.

Zonal statistics

Summarize raster values inside your own field boundaries.
Assemble Sentinel-2 or sub-meter NAIP imagery into spatially aligned mosaics across your area of interest and growing season, or bring your own GeoTIFFs.

Building Sentinel-2 mosaics

Assemble cloud-free imagery across an area and a season.

Building NAIP mosaics

Assemble sub-meter aerial imagery over your fields.

Bring your own rasters

Mosaic your own GeoTIFFs into analysis-ready imagery.
Run a change detection model over satellite imagery from two dates with RasterFlow. The example notebook shows the two-date workflow with the Fields of the World model, which segments field boundaries rather than detecting change. To measure change, run a change detection model, such as one you export with the Bring Your Own Model notebook.

Change detection with RasterFlow

Run a model over imagery from two dates.

Get started with Wherobots

Try Wherobots with your own geospatial data in minutes.