Earth observation for agriculture

Every hectare, observed continuously — and modeled forward.

AgroMonitor fuses in-situ measurements with satellite imagery from Sentinel and Landsat to track the health and condition of agricultural land in high spatial and temporal detail — then models how that land is likely to yield, well before harvest.

2Satellite programs fused

AOI-basedField-level monitoring

Season-aheadYield forecasting

AOI-014 · SOFIA PLAIN 42.6977° N, 23.3219° E

STRESSED DENSE CANOPY

82.4 HA

Projected yield index — AOI-014 +12% vs. 5yr avg

The platform

Two problems, one pipeline: what's happening now, and what it means for harvest.

AgroMonitor is built around the two questions every agronomist and land manager actually asks — is this field healthy right now, and what will it yield.

Continuous Monitoring

We track the health and condition of your agricultural land continuously, at high spatial and temporal resolution — surfacing early signs of drought stress or other threats to yield before they're visible from the ground.

CROP HEALTH DROUGHT DETECTION HIGH-FREQUENCY REVISIT

Yield Modeling

We model future yield against the factors that actually move it, producing cutting-edge, forward-looking predictions — so you can plan a season around where your fields are headed, not just where they've been.

MULTI-FACTOR MODELS SEASON FORECASTS FIELD-LEVEL RESOLUTION

SENTINEL-2 LANDSAT 8/9 IN-SITU SENSORS

Multispectral satellite imagery, fused with ground-truth in-situ measurements — not one or the other.

How it's built

A geospatial-native platform, from storage to map service.

Every AOI, label, and monitoring result is handled with the precision and open standards a GIS-literate team expects.

STORAGE

Geospatial-native database

AOIs, labels, and monitoring data live in PostgreSQL/PostGIS, queried with the same spatial precision your GIS tools expect.

DATA LAKE

Object storage at scale

Raw satellite scenes, derived layers, and model artifacts are kept in S3-compatible object storage, ready for reprocessing as models improve.

PROCESSING

Automated fetch & reporting pipeline

A backend service triggers long-running jobs that fetch Sentinel/Landsat source data, process it, and prepare reports and model checks against each client's requirements.

MAP SERVICES

Open WMS/WFS endpoints

AOIs and monitoring layers are served as standard WMS/WFS map services, so they drop straight into QGIS, ArcGIS, or your own systems.

Fast full-text & vector search

Find any field, report, or monitoring run instantly across your full AOI history.

Getting started

From sign-up to your first field report, in four steps.

Register as a client

Create your AgroMonitor account and set up your organization — the starting point for every AOI you'll monitor after.

Define your AOI

Draw your field boundary directly on the map, or provide existing geospatial data, to set the exact area of interest you want observed. An AOI is fixed once submitted — every model result and prediction attaches to it permanently. To grow or shrink the area later, you draw a new AOI rather than editing the old one.

Set monitoring requirements

Choose your time frame and what to track — crop monitoring, health monitoring, early detection of drought or other risks to yield.

Automated monitoring runs

Our backend fetches the latest Sentinel and Landsat source data for your AOI, processes it, and prepares reports and model checks against your requirements — yield outlook, crop health status, dry/wet conditions, and more.