Work / 04
GIS → operational intelligence for a forestry company
Turning a manual mapping workflow into a digital operations system
- Organisation
- Floresta Bem Cuidada, Lda.
- Role
- GIS Analyst
- Years
- 2025–2026
- Location
- Guarda, Portugal
40.537° N · 7.267° W - Scale
- site
Challenge
A forest-management company was planning, monitoring and dispatching crews with manual maps and ad-hoc spreadsheets. Every work order took mapping time, every hand-off risked an error, and nobody had a live view of operations.
Data
- Parcel and intervention geometries, cadastral and forest inventory layers
- Satellite imagery and remote-sensing indices for monitoring
- Daily work orders (ODTs), crew allocations and approvals
Intelligence
- GIS and remote-sensing analyses for forest planning and monitoring
- Interactive dashboards and geospatial apps in R Shiny, Power BI, PowerApps and QGIS
- Standardised ODT templates with approval flow and crew allocation
- Project and task management automated in Monday.com
Technology
- QGIS
- R Shiny
- Power BI
- PowerApps
- Monday.com
- WordPress
Outcome
- Manual mapping time down ~40%; operational errors down more than 50%
- Live operational transparency for management
- Colleagues trained in GIS, remote sensing and R — capacity that stays in the company
- Company website rebuilt to communicate services clearly
- NIS 2 Directive compliance managed in partnership with Pontual IT Solutions
Before → after
Before. A request arrives → someone draws the parcel by hand → a spreadsheet is updated → a crew is phoned → nobody knows the status until they come back.
After. Request logged in Monday.com → parcel pulled from the GIS layer → ODT generated from a template → approval and crew allocation tracked → dashboard shows every open job, its location and its status.
TODO — Nuno: add one or two anonymised screenshots (dashboard, ODT flow) if the company allows it. The case reads well without them, but a picture of the dashboard would prove the point.