I provide professional satellite image classification
and analysis services using Google Earth Engine (GEE)
with Sentinel-1, Sentinel-2, and Landsat imagery.
What I offer:
- Land use / land cover (LULC) classification
- NDWI and NDVI spectral index calculation
- Vegetation and soil mapping
- Random Forest supervised classification
- Multi-temporal change detection
- Glacier melt and water body monitoring
- Time series analysis (CHIRPS, ERA5-Land, MERRA-2)
I have hands-on experience performing supervised soil
classification with 8 classes validated through confusion
matrix at RSGCRL, University of the Punjab. I also
completed glacier melt and NDWI analysis for Shigar
Valley using Sentinel-2 in GEE as part of my thesis
research.
Every deliverable includes:
- Final classified map (high resolution)
- Accuracy assessment report
- GEE JavaScript script (reusable)
Tools: Google Earth Engine, ERDAS Imagine, ENVI
Turnaround: 2-4 days
Revisions: 2 free revisions included