Technologies & capabilities
- Remote sensing
- LCCS analysis
- Land-cover mapping
Project Experience · Remote Sensing / Land Cover
Land-cover analysis presented through mapped views for 2006, 2013 and 2018.

This project presents LCCS analysis for Kafr El-Sheikh through an authentic overview map and dated map outputs for 2006, 2013 and 2018.



Current capability
For comparable requirements today, Start For IT can structure a transparent land-cover workflow around the approved classification scheme, imagery dates, validation data and reporting needs.
Current capability — separate from historical project scopePrepare imagery and mapped classes using a project-appropriate classification framework, documented class definitions and validation workflow.
Compare consistent dated outputs to identify mapped transitions and produce reviewable change summaries.
Where labelled samples and image quality support it, machine learning can assist classification and feature extraction under human quality control.
Deliver approved maps, comparisons and statistics through a responsive Web GIS or reporting dashboard.
Plan a transparent Remote Sensing workflow around the required dates, classes, imagery, validation and delivery format.