Agriculture
Field-level crop health, moisture stress and yield forecasts across whole regions — refreshed daily, not quarterly.
Fictional Earth-observation concept · all missions, metrics, customers and responses are illustrative
Earth observation concept · illustrative constellation
ORBITAL demonstrates how a fictional platform could turn orbital imagery into decision-ready workflows for agriculture, energy, insurance and public-sector teams.
01 / Constellation
The concept models three sun-synchronous planes, 50 cm resolution and five spectral bands to demonstrate how a constellation brief could read.
02 / Downlink
An illustrative downlink sequence shows scenes reaching a workspace during a pass, with a sample 3m 42s capture-to-console metric.
03 / Analysis
The simulated scan demonstrates how models could classify land cover, count vessels, meter construction and flag change.
04 / Delivery — mission console
DEMOSAMPLE TASKS
1,284
SAMPLE SCENES
96,410
DESIGN LATENCY
3m 42s
MODEL COVERAGE
100%
Every scene, task and alert — one console.
Explore the platformWho runs on ORBITAL
Field-level crop health, moisture stress and yield forecasts across whole regions — refreshed daily, not quarterly.
Monitor pipelines, solar farms and grid corridors for encroachment, damage and construction progress automatically.
Pre- and post-event imagery for every insured roof — triage catastrophe claims in hours instead of weeks.
Persistent, revisit-guaranteed monitoring of areas of interest with automated change detection and alerting.
28
illustrative satellites
96,410
sample daily scenes
100%
modeled land coverage
11 yr
sample archive depth
How it works
Draw an AOI and choose a cadence — or skip tasking entirely: every landmass is already captured daily.
Scenes downlink on every pass, are orthorectified in minutes, and appear in the console, the API and your cloud bucket.
Change detection, object counting and classification run continuously. You get answers and alerts — not terabytes.
Start seeing
Explore the example access flow and see how a production platform could collect an area of interest, use case and operational question.