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--- |
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tags: |
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- geospatial |
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- geobase |
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- land-cover-classification |
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license: mit |
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--- |
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| <img src="https://upload.wikimedia.org/wikipedia/commons/6/6a/JavaScript-logo.png" width="28" height="28"> | [GeoAi](https://www.npmjs.com/package/geoai) | |
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> `task = land-cover-classification` |
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### 🛠 Model Purpose |
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This model is part of the **[GeoAi](https://github.com/decision-labs/geoai.js)** javascript library. |
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**GeoAi** enables geospatial AI inference **directly in the browser or Node.js** without requiring a heavy backend. |
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**GeoAi** pipeline accepts **geospatial polygons** as input (in GeoJSON format) and outputs results as a **GeoJSON FeatureCollection**, ready for use with libraries like **Leaflet** and **Mapbox GL**. |
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<video controls autoplay loop width="1024" height="720" src="https://geobase-docs.s3.amazonaws.com/geobase-ai-assets/land-cover-classification.mp4"></video> |
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--- |
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### 🚀 Demo |
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Explore the model in action with the interactive [Demo](https://docs.geobase.app/geoai-live/tasks/land-cover-classification). |
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### 📦 Model Information |
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- **Architecture**: [SparseMask](https://github.com/wuhuikai/SparseMask) |
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- **Source Model**: https://github.com/cliffbb/oem-lightweight |
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- **Quantization**: Yes |
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--- |
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> **Note:** This model only works if the input imagery contains both RGB and NIR bands. |
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### 💡 Example Usage |
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```javascript |
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import { geoai } from "geoai"; |
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// Example polygon (GeoJSON) |
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const polygon = { |
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type: "Feature", |
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properties: {}, |
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geometry: { |
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coordinates: [ |
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[ |
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[-99.98170823334205, 50.64318249608178], |
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[-99.9806018185983, 50.6431476272638], |
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[-99.9807117895183, 50.642403469489295], |
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[-99.98256386074388, 50.64247150726101], |
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[-99.98170823334205, 50.64318249608178] |
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], |
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], |
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type: "Polygon", |
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}, |
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} as GeoJSON.Feature; |
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// Initialize pipeline |
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const pipeline = await geoai.pipeline( |
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[{ task: "land-cover-classification" }], |
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providerParams |
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); |
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// Run detection |
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const result = await pipeline.inference({ |
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inputs: { polygon } |
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}); |
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// Sample output format |
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// { |
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// "detections": [ |
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// {type: 'FeatureCollection', features: Array(6)}, |
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// {type: 'FeatureCollection', features: Array(43)}, |
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// {type: 'FeatureCollection', features: Array(6)}, |
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// {type: 'FeatureCollection', features: Array(3)}, |
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// {type: 'FeatureCollection', features: Array(11)}, |
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// {type: 'FeatureCollection', features: Array(36)}, |
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// {type: 'FeatureCollection', features: Array(0)}, |
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// {type: 'FeatureCollection', features: Array(9)} |
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// ] |
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// "outputimage": GeoRawImage {data: Uint8ClampedArray(1048576), width: 512, height: 512, channels: 4, bounds: {…}, …} |
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// } |
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``` |
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### 📖 Documentation & Demo |
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- GeoBase Docs: https://docs.geobase.app/geoai |
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- NPM Package: https://www.npmjs.com/package/geoai |
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- Demo Playground: https://docs.geobase.app/geoai-live/tasks/land-cover-classification |
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- GitHub Repo: https://github.com/decision-labs/geoai.js |
