Deforestation Analysis Using GIS & Remote Sensing

This project focuses on analyzing deforestation patterns over time using GIS and remote sensing techniques. Satellite imagery was processed, classified, and compared across multiple years to detect changes in forest cover and identify areas with significant vegetation loss.

What Was Done:

Collecting and preprocessing satellite imagery

Applying supervised/unsupervised classification

Extracting forest and non-forest classes

Conducting change detection analysis

Mapping areas of forest loss and quantifying affected regions

Creating thematic maps with clear visualization of deforestation trends

Tools Used:

ArcGIS — Remote Sensing — Raster Analysis — Classification — Change Detection

This project demonstrates my ability to use GIS and remote sensing to generate meaningful environmental insights and visualize land-cover change effectively.