> ## Documentation Index
> Fetch the complete documentation index at: https://docs.wherobots.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Agriculture & Forestry

> How agriculture, forestry, and land management organizations can use Wherobots for precision analytics on satellite imagery and field data.

Agriculture and forestry intelligence depends on spatial insights derived from satellite imagery, field sensors, and geospatial boundaries. Wherobots enables organizations to process multi-temporal raster data at continental scale, detect field boundaries, monitor crop health, and manage forest resources with purpose-built spatial AI.

## How to use these solutions

Treat these notebooks as data engineering patterns as you evaluate Wherobots for your business or organization:

<CardGroup cols={2}>
  <Card title="Field Boundary Detection" icon="border-all" iconType="solid" href="/tutorials/example-notebooks/rasterflow-ftw">
    Automatically delineate agricultural field boundaries from Sentinel-2 satellite imagery using RasterFlow's Fields of the World model.
  </Card>

  <Card title="Crop & Vegetation Monitoring" icon="seedling" iconType="solid" href="/tutorials/example-notebooks/rasterflow-s2-mosaic">
    Analyze multi-temporal satellite imagery to track vegetation indices, monitor crop growth stages, and detect stress across growing seasons.
  </Card>

  <Card title="Canopy Height & Forest Inventory" icon="tree" iconType="solid" href="/tutorials/example-notebooks/rasterflow-chm">
    Estimate tree canopy height from aerial imagery to support forest inventory, carbon accounting, and timber volume calculations.
  </Card>

  <Card title="Land Cover Classification" icon="layer-group" iconType="solid" href="/tutorials/example-notebooks/esa-worldcover">
    Classify land cover types at regional or national scale using ESA WorldCover or custom raster datasets to inform land management decisions.
  </Card>
</CardGroup>

## Key Capabilities

<AccordionGroup>
  <Accordion title="Agricultural field mapping" icon="wheat-awn">
    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.

    <Card title="Detecting field boundaries" icon="border-all" href="/tutorials/example-notebooks/rasterflow-ftw" horizontal>
      Delineate every field so metrics can be summarized per parcel.
    </Card>
  </Accordion>

  <Accordion title="Canopy height estimation" icon="tree">
    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.

    <Card title="Estimating canopy height" icon="tree" href="/tutorials/example-notebooks/rasterflow-chm" horizontal>
      Predict tree heights from aerial imagery.
    </Card>
  </Accordion>

  <Accordion title="Zonal statistics for parcel analysis" icon="chart-area">
    Calculate per-field or per-parcel statistics from raster layers, including mean NDVI, land cover percentages, and elevation summaries, using WherobotsDB zonal statistics.

    <Card title="Zonal statistics" icon="chart-area" href="/tutorials/example-notebooks/zonal-stats-esaworldcover-texas" horizontal>
      Summarize raster values inside your own field boundaries.
    </Card>
  </Accordion>

  <Accordion title="Building analysis-ready mosaics" icon="satellite-dish">
    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.

    <Columns cols={3}>
      <Card title="Building Sentinel-2 mosaics" icon="layer-group" href="/tutorials/example-notebooks/rasterflow-s2-mosaic" horizontal>
        Assemble cloud-free imagery across an area and a season.
      </Card>

      <Card title="Building NAIP mosaics" icon="satellite" href="/tutorials/example-notebooks/rasterflow-naip-mosaic" horizontal>
        Assemble sub-meter aerial imagery over your fields.
      </Card>

      <Card title="Bring your own rasters" icon="image" href="/tutorials/example-notebooks/rasterflow-bring-your-own-rasters-naip" horizontal>
        Mosaic your own GeoTIFFs into analysis-ready imagery.
      </Card>
    </Columns>
  </Accordion>

  <Accordion title="Change detection over time" icon="clock-rotate-left">
    Compare satellite imagery across multiple dates to detect land-use change, deforestation, urban encroachment, or crop rotation patterns.

    <Card title="Change detection with RasterFlow" icon="arrows-rotate" href="/tutorials/example-notebooks/rasterflow-changedetection" horizontal>
      Compare imagery across dates and quantify what moved.
    </Card>
  </Accordion>
</AccordionGroup>

## Wherobots Advantage

| Challenge                              | How Wherobots Helps                                                            |
| -------------------------------------- | ------------------------------------------------------------------------------ |
| Continental-scale satellite imagery    | RasterFlow processes raster data at planetary scale with built-in mosaicking   |
| Manual field boundary digitization     | AI-powered field detection replaces labor-intensive manual delineation         |
| Multi-temporal analysis across seasons | Efficient raster storage and processing with Havasu tables and out-db rasters  |
| Integrating raster and vector data     | Unified analytics engine for raster imagery and vector boundaries in one query |

<Card title="Get started with Wherobots" icon="rocket" href="/get-started/wherobots-cloud/start-notebook" cta="Run your first notebook">
  Try Wherobots with your own geospatial data in minutes.
</Card>