GeospatialGPU4 credits

Prithvi-EO — Earth Observation Foundation Model

NASA Prithvi-EO geospatial foundation model via API

Prithvi-EO is NASA + IBM's open-source geospatial foundation model trained on Landsat and Sentinel-2 imagery. Pair it with Clay Foundation and TorchGeo and you have the full open Earth-observation AI stack in one API. Pass a lat/lng bbox, get back land use classification, change detection, or terrain segmentation.

$0.04
per API call
4
credits per call
/v1/geospatial/classify-landuse
API endpoint

Features

Prithvi-EO + Clay + TorchGeo
Land use, change detection, terrain segmentation
Landsat + Sentinel-2 inputs
Lat/lng bounding box interface

Quick Start

Prithvi-EO + Clay — Python Examplepython
import requests

r = requests.post(
    "https://scirouter-gateway-production.up.railway.app/v1/geospatial/classify-landuse",
    headers={"Authorization": "Bearer sk-sci-..."},
    json={
        "bbox": [-122.5, 37.7, -122.4, 37.8],
        "model": "prithvi-eo",
        "date": "2026-04-01",
    },
)
result = r.json()["data"]
for c in result["classes"]:
    print(f"{c['name']}: {c['area_km2']:.2f} km2")

Use Cases

1

Deforestation monitoring

2

Agriculture mapping

3

Wildfire risk

4

Urban change tracking

Learn More

Satellite Image Analysis API: Clay Foundation and TorchGeo

13 min read

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Start Using Prithvi-EO

500 free credits every month. No credit card required.

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