A comprehensive Earth Engine-based analysis of deforestation patterns in the Amazon rainforest using MODIS satellite imagery and advanced geospatial processing.
📊 Project Overview
This project monitors and visualizes vegetation changes in the Amazon Basin over a 15-year period (2010-2024) using Google Earth Engine, Python, and remote sensing data. The analysis provides crucial insights into deforestation trends, vegetation health, and environmental impacts through multiple visualization techniques.
- Multi-temporal Analysis: 15-year comprehensive study (2010-2024)
- Dual Vegetation Indices: NDVI (Normalized Difference Vegetation Index) and EVI (Enhanced Vegetation Index)
- Automated GIF Generation: Animated visualizations showing temporal changes
- Deforestation Detection: Custom algorithms to identify vegetation loss
- Statistical Reporting: Quantitative analysis of deforestation areas and percentages
- Interactive Maps: Split-panel comparisons and change detection maps
- Annual Composites: Median vegetation indices for each year
- Change Detection: Pixel-wise comparison against 2010 baseline
- Threshold Classification:
- Severe Loss (ΔNDVI < -0.15)
- Moderate Loss (ΔNDVI -0.15 to -0.05)
- Stable Vegetation (ΔNDVI -0.05 to 0.05)
- Vegetation Gain (ΔNDVI > 0.05)
- NDVI: Normalized Difference Vegetation Index
- EVI: Enhanced Vegetation Index (better sensitivity in high biomass regions)
