Satellite
Satellite-Based Environmental Monitoring
Sentinel-2, Landsat, and Google Earth Engine analysis for land-use change, deforestation detection, and ecosystem health.
The challenge
Satellite-Based Environmental Monitoring
Open satellite data is powerful and easy to misread. A change-detection map without ground calibration produces false positives that waste budget and false negatives that carry real risk. Monitoring is only as good as its validation.
How I work
The approach
A field-verified method, not a desk exercise.
01
Build the time series
Assemble Sentinel-2 and Landsat imagery over your area and period of interest in Google Earth Engine.
02
Detect and classify
Run land-use change and degradation detection, with indices for ecosystem health and carbon stock proxies.
03
Calibrate to ground
Check outputs against field data or drone survey so the results are defensible.
What you get
Deliverables
Change
Land-use change detection
Time-series maps of change with confidence levels.
Forest
Deforestation & degradation
Mapped loss and degradation over your period.
Health
Ecosystem indices
Vegetation and ecosystem-health indicators.
Carbon
Stock estimation
Remote-sensing carbon-stock proxies for planning.
I completed Duke University's Drones for Environmental Science and DeepLearning.AI's AI and Climate Change, and I run Sentinel-2 verification work in the field. Satellite plus ground truth, not one without the other.
Remote sensing and field verification