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Project Experience · Remote Sensing / Environment

Tunisia Land-Cover Changes, 1990–2005

National land-cover mapping and change analysis across Tunisia over a documented fifteen-year period.

Tunisia land-cover change project map

Project overview

The project mapped land-cover classes across Tunisia and examined changes from 1990 to 2005. The documented methodology used Landsat-TM satellite imagery covering the country at three dates and applied the FAO Land Cover Classification System.

LocationTunisia
Analysis period1990–2005
Source imageryLandsat-TM
Classification frameworkFAO LCCS

Start For IT contribution

Start For IT mapped the documented land-cover classes and change across Tunisia using the stated multi-temporal Landsat-TM coverage and FAO LCCS framework.

The challenge

Create consistent national land-cover mapping and identify change over three documented imagery dates.

Start For IT approach

Classification followed the FAO Land Cover Classification System (LCCS) using Landsat-TM satellite imagery providing complete national coverage at three dates.

Technologies & capabilities

  • Satellite imagery
  • Land-cover classification
  • Multi-temporal analysis
  • Change detection

Deliverables & outputs

  • Land-cover maps
  • Agriculture and natural-vegetation mapping
  • Spatial change outputs

Authentic project visuals

Tunisia agriculture and natural-vegetation map
Spatial distribution of documented agriculture and natural-vegetation land-cover classes.
Tunisia vegetation class map
An analytical map from the national land-cover project.
Tunisia agricultural change map
Mapped increase and loss of agricultural areas.
Tunisia natural vegetation distribution map
Mapped distribution of documented natural-vegetation classes.

Related capabilities & industry

Remote Sensing Processing & AnalysisEarth Observation ImageryDigital Mapping & Base MapsEnvironment & Climate Industry

Current capability

From Multi-Temporal Imagery to Environmental Intelligence

For current national, regional or site-scale monitoring requirements, Start For IT can combine suitable imagery, classification, GIS and software around the available dates, classes and validation data.

Current capability — separate from historical project scope

Land-Cover & Land-Use Mapping

Design classification schemes, prepare imagery and produce mapped land-cover or land-use information suited to the decision requirement.

  • Classification
  • LCCS
  • GIS

Multi-Temporal Change Detection

Compare approved imagery dates to map transitions, gain, loss and spatial patterns while retaining transparent source and date metadata.

  • Time Series
  • Change Detection
  • Change Maps

Environmental Monitoring Dashboards

Publish validated maps, statistics and change layers through Web GIS and dashboards for review and ongoing monitoring.

  • Web GIS
  • Dashboards
  • Decision Support

AI-Assisted Classification

Where labelled data and validation support it, machine-learning or computer-vision workflows can assist classification and feature extraction without replacing quality control.

  • GeoAI
  • Computer Vision
  • Validation

Environmental monitoring architecture

Satellite imageryClassification / change analysisGIS contextMonitoring application
Validated land-cover intelligence, change products and decision-ready monitoring views.

Discuss your Remote Sensing monitoring requirement.

Plan an evidence-based workflow for imagery selection, land-cover classification, change detection, GIS and monitoring delivery.

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