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SankarsanaEcoHydroAgri Innovations
Satellite image of a winding river with oxbow lakes and patchwork farm fields

GIS & Remote Sensing · Advanced

Google Earth Engine & GeoAI Masterclass

Planetary-scale analysis with Earth Engine plus machine learning and deep learning on geospatial data.

Photo · USGS / Unsplash

Course modules

  1. 01Earth Engine JavaScript & Python APIs
  2. 02Time-series compositing, cloud masking and change detection
  3. 03Machine-learning classifiers in Earth Engine
  4. 04Deep learning for segmentation and object detection
  5. 05SAR basics with Sentinel-1
  6. 06GeoAI project: from imagery to decision map

Learning outcomes

  • Run analyses over districts, basins or whole countries
  • Combine ML with satellite time series
  • Deliver a reproducible GeoAI workflow

Project-based training

Every participant completes a capstone: GeoAI project: from imagery to decision map. Labs use real environmental, agricultural or engineering datasets.

Tools

  • Google Earth Engine
  • geemap
  • PyTorch
  • rasterio

Who it’s for

Researchers, analysts, GIS professionals

Prerequisites

GIS basics; Python helpful

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