RasterFlow Models

Learn about RasterFlow’s key features and capabilities

RasterFlow built-in models

RasterFlow includes curated, open-source models for common geospatial use cases.

Use Case	Capabilities	Example Application	Notebook
Agricultural Field Mapping	- Detect field boundaries from Sentinel-2 imagery - Segment crop fields across counties/regions - Convert raster predictions to vector geometries	Map all agricultural fields in Haskell County, Kansas using Sentinel-2 imagery and the Fields of the World model	Try the Fields of the World notebook
Urban Infrastructure Detection	- Identify sidewalks, crosswalks, and pedestrian pathways - Generate detailed maps for urban planning - Analyze accessibility from high-resolution aerial imagery	Detect and map sidewalk networks in College Park, Maryland using 30cm NAIP imagery with the Tile2Net model	Try the Tile2Net notebook
Canopy Height Estimation	- Predict tree canopy heights from aerial imagery - Monitor forest health and vegetation structure - Support conservation and urban forestry initiatives	Estimate tree heights across Nashua, NH using 60cm NAIP imagery with the Meta CHM v1 model	Try the Meta CHM v1 notebook
Rural Road Detection	- Identify roads, especially in rural environments - Map road networks to support routing and navigation - Detect road network changes to keep maps up to date	Detect roads in Maryland using 1m NAIP imagery with the ChesapeakeRSC model	Try the ChesapeakeRSC notebook

Running model inference

There are two options for running model inference in RasterFlow:

Run an end-to-end workflow that ingests the required imagery, generates a mosaic and runs the model using a pre-configured recipe. See build_and_predict_mosaic_recipe() for more details.

Run model inference on an existing mosaic. See predict_mosaic() for more details.

Vectorization of model outputs

Convert raster predictions to vector geometries for further spatial analysis:

Vectorization enables you to:

Join with other vector datasets (e.g., cadastral data, yield records)

Calculate area statistics for each field

Perform spatial queries in WherobotsDB

Export to standard GIS formats for visualization

Agentic Development

Notebook Management

RasterFlow

SQL API & SDKs

Storage Management

Other deployment options

Orchestration

Monitoring

RasterFlow Overview

Get Started

Reference

RasterFlow Datasets

RasterFlow built-in models

Running model inference

Vectorization of model outputs

API reference

RasterFlow Overview

Get Started

Reference

RasterFlow Datasets

​RasterFlow built-in models

​Running model inference

​Vectorization of model outputs

​API reference

RasterFlow built-in models

Running model inference

Vectorization of model outputs

API reference