I will do satellite based crop health monitoring and precision agriculture

Pakistan

I speak Urdu, English
GIS & Remote Sensing specialist | WebGIS Developer I deliver end-to-end geospatial solutions — from satellite data processing in Google Earth Engine to live WebGIS platforms. Core expertise: flood sus...
About this Gig

I help farms, agri-businesses, and researchers monitor crop health using free satellite data; no field sensors needed.

Using Google Earth Engine with Sentinel-2, MODIS, and ERA5-Land, I build vegetation health analysis using indices like NDVI, FAPAR, FVC, and ARI, turning raw satellite imagery into decision-ready insights for crop stress detection, irrigation gaps, yield risk flags, and farm-level advisory outputs.

I've built end-to-end systems for a precision agriculture company: from farm boundary detection (SAR + optical fusion, SAM-based segmentation) to crop health diagnostic dashboards feeding AI-based farm advisory platforms deployed for real projects.

What I can deliver:

  • NDVI / FAPAR / FVC / ARI time-series analysis for any AOI
  • Crop stress & anomaly detection (drought, disease, nutrient issues)
  • Farm boundary delineation from satellite imagery (optical fusion, AI segmentation)
  • Multi-temporal crop health monitoring dashboards (GEE JS/Python)
  • Custom GEE scripts for automated monitoring
  • Weather-integrated analysis (ERA5-Land) for irrigation/stress correlation
  • Clean reports, maps, and charts ready to present or plug into your platform

Technology:

Excel

Google Analytics

Jupyter Notebook

MATLAB

arcgis

Analysis type:

Quantitative analysis

Qualitative analysis

Expertise:

Trends

Prediction

Forecasting

Regression testing

Programming language:

Python

R

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