Products & selected work
Agricultural intelligence / GaliciaPrivate client deployment

From a whole region to the story of a field.

Crop parcels, satellite indices and seasonal history, brought together in an agricultural mapping application.

Galicia agricultural map with crop filters, satellite index layers and regional context
The map keeps crop and season context connected to regional exploration.Actual application interface

The engineering challenge

Make the connections useful.

A map value is only useful when its date, coverage and source remain clear. This application brings administrative geography, annual crop records and changing satellite observations into the same analytical view.

Stable parcel geometry stays separate from annual observations. A dedicated worker prepares quality-screened satellite products, while the map reads a consistent completed data revision.

Explore regional patterns, inspect a parcel’s history and compare selected years without losing the crop, season or map position.

One connected workflow

Conceptual workflow · not an application screenshot

  1. 01

    Choose area + season

  2. 02

    Filter crops + index

  3. 03

    Inspect parcel history

  4. 04

    Compare years + share

What we built

Keep the geography. Change the question.

01

A map that remembers the analysis

Region, province and municipality navigation preserves season, month, crop filters, selected feature and the exact camera position in a shareable URL.

02

Four views of vegetation

NDVI, NDRE, SAVI and MSI connect consistent legends to field history and regional summaries.

03

Missing data keeps its meaning

Cloud screening, bounded historical gap filling and valid-coverage records distinguish unavailable observations from real low values.

04

Annual comparisons, grounded in area

Compare imported yield estimates for one or two years at municipality level, with signed changes and area-aware summaries.

A field is more than a colored polygon.

Stable geometry, annual crop observations and administrative membership let the same parcel participate in historical analysis. Area-aware membership helps avoid double-counting across boundaries.

Galicia regional analytics with NDVI, NDRE, SAVI and MSI seasonal charts
Seasonal satellite-index comparisons remain connected to the selected regional context.Actual application interface

Reading the results responsibly

Yield comparisons use imported source estimates. Satellite observations follow a quality policy; unavailable values remain unavailable. These are analytical views, not a newly validated yield prediction model.

PostGISMapLibreSatellite processingRaster tilesPythonReact

Build with AlgoFly

Have a similar challenge?

This is a private client application. Explore the engineering story, or talk with us about your own workflow.