Agromonitoring logo

Agromonitoring

Agromonitoring is a technology company specializing in satellite-based agricultural monitoring. Using Sentinel-2 and Landsat imagery combined with weather and soil data, Agromonitoring provides vegetation index time series (NDVI, EVI, DSWI, LSWI), current weather, multi-day forecasts, and soil conditions for registered field polygons. The platform enables precision agriculture workflows including crop health assessment, irrigation optimization, yield prediction, and climate risk monitoring.

1 APIs 1 Capabilities 7 Features
AgricultureSatellite ImageryVegetation IndicesWeatherPrecision AgricultureRemote Sensing

APIs

Agromonitoring

The Agromonitoring Agro API provides satellite imagery, vegetation index time series (NDVI, EVI, DSWI, LSWI), weather data, soil conditions, and UV index for registered agricult...

Capabilities

Features

Field Polygon Management

Register, retrieve, and delete georeferenced agricultural field polygons using GeoJSON geometry

Satellite Imagery Search

Search Sentinel-2 and Landsat satellite archives for cloud-free imagery over registered fields

Vegetation Index Time Series

Access NDVI, EVI, EVI2, NRI, DSWI, and LSWI historical time series to track crop health and stress

Current Weather Data

Real-time weather conditions including temperature, humidity, wind speed, pressure, and cloud cover

Weather Forecasting

Multi-day weather forecasts to support irrigation scheduling and field operation planning

Soil Monitoring

Soil temperature at surface and 10cm depth plus volumetric soil moisture content

UV Index Data

Solar UV radiation index to assess sun exposure and radiation stress on crops

Use Cases

Crop Health Monitoring

Track vegetation index trends over the growing season to identify stress, disease, or nutrient deficiencies early

Irrigation Management

Combine soil moisture, weather forecast, and NDVI data to optimize irrigation scheduling and reduce water usage

Yield Prediction

Use satellite-derived vegetation indices across the growing season to build yield prediction models

Field Boundary Mapping

Register precise field polygon boundaries for targeted data retrieval and zonal analysis

Precision Agriculture

Apply variable-rate inputs using spatial variability data from satellite imagery and vegetation indices

Climate Risk Assessment

Monitor weather extremes, drought, and soil conditions to assess climate-related agricultural risks

Integrations

OpenWeatherMap

Agromonitoring uses OpenWeatherMap weather infrastructure for current and forecast data

Sentinel-2

European Space Agency Sentinel-2 satellite data is a primary imagery source

Landsat

NASA/USGS Landsat imagery is available as an additional satellite data source

Semantic Vocabularies

Agromonitoring Context

33 classes · 6 properties

JSON-LD

API Governance Rules

Agromonitoring API Rules

20 rules · 10 errors 10 warnings

SPECTRAL

Resources

🌐
Portal
Portal
🔗
Documentation
Documentation
🚀
GettingStarted
GettingStarted
💰
Pricing
Pricing
💬
FAQ
FAQ
📜
TermsOfService
TermsOfService
📜
PrivacyPolicy
PrivacyPolicy
🔗
JSON-LD
JSON-LD
🔗
SpectralRules
SpectralRules
🔗
Vocabulary
Vocabulary
🔗
NaftikoCapability
NaftikoCapability
🔗
NaftikoCapability
NaftikoCapability