Objective: The goal of the project was to use concepts in remote sensing to record, detect, and analyze changes in land use patterns over time. Two multispectral satellite images of northern Costa Rica were compared from 2001 and 2022 to capture large scale agricultural expansion in the country. Remote sensing was crucial to this analysis as it was able to show specifically how and where land use change has been occurring in Costa Rica. 

Software and tools used: ERDAS Imagine- supervised/unsupervised classification, index analysis, DN to reflectance

Created for: Remote sensing course final project

Credit: Matt Manfredi was a group partner on this project