Integrate field-level crop monitoring into your own platform. Plant health, water stress, protein content and more — delivered as images, GeoTIFFs and structured data through a single GraphQL endpoint.
The API follows a simple request → process → retrieve workflow. All communication happens through a single GraphQL endpoint.
Define your field boundaries using GeoJSON coordinates. The API calculates area automatically.
Call a processing mutation with polygon ID, date range and the analysis type you need.
Track the request status while satellite data is downloaded and processed.
Get back PNG images, GeoTIFFs and JSON statistics for every available date in your range.
From standard vegetation indices to proprietary crop models — choose the analyses that fit your use case.
Assess crop vigor and identify underperforming zones using the Normalized Difference Vegetation Index.
processPlantHealth()Detect hydration issues early with the Normalized Difference Water Index before yield is affected.
processWaterStress()General health indicators using light reflectance patterns to evaluate overall crop performance.
processVegetationIndices()Evaluate soil water status across the field to identify irrigation problems before they impact growth.
processSoilMoisture()Real-time protein content data for forage grass — essential for feed quality monitoring and harvest timing.
processCrudeProtein()Determine optimal forage harvest timing with satellite-derived dry matter estimates across the field.
processDryMatter()Measure above-ground biomass to understand crop density and estimate yield potential.
processBiomass()Assess carbon levels in soil organic matter — a key indicator of long-term soil health and fertility.
processSoilOrganicCarbon()Predict starch content, yield and disease risk with proprietary models built for potato production.
processPotatoAnalysis()The API is built on GraphQL, giving you full control over the data you request. No over-fetching, no unnecessary payloads — just the fields your application needs.
Every analysis returns results in three formats so you can use what fits your pipeline best — visual overlays for dashboards, GeoTIFFs for GIS workflows, or JSON for data processing.
Key parameters and limits to keep in mind when integrating.
Satellite data is powerful but has inherent constraints. Understanding these helps you build reliable integrations and set the right expectations.
Detailed guides, code examples and technical reference for every endpoint.
Authentication, your first polygon, running an analysis and retrieving results.
5 guidesComplete reference for every analysis type, polygon management, weather data and more.
17 pagesLearn how to use the interactive GraphQL sandbox to explore the schema, test queries and debug responses.
InteractivePlatform architecture, satellite limitations, API restrictions and frequently asked questions.
4 pagesGet in touch to discuss your use case and receive API credentials. We typically respond within one business day.
Enterprise pricing · Custom quotas available · Dedicated support