Google Earth Engine and Satellite Image Download (Free)

As an Environmental Specialist & GIS Expert, I leverage GEE to support sustainable development projects, land cover classification, and environmental impact assessments. Here's a simplified overview of how satellite images are accessed and downloaded using GEE

1. Accessing the Platform

• Sign up at earthengine.google.com using a Google account.
• Once approved, access the Code Editor at code.earthengine.google.com.

2. Selecting a Dataset

GEE hosts a vast catalog of satellite imagery including:

• Landsat (5, 7, 8, 9) – Ideal for land use and vegetation analysis.
• Sentinel-2 – High-resolution multispectral data for urban and agricultural monitoring.
• MODIS – Coarse-resolution data for climate and vegetation trends.

Example: (Javascript)

 var image = ee.ImageCollection('COPERNICUS/S2')
 .filterDate('2023-01-01', '2023-01-31')
 .filterBounds(roi)
 .sort('CLOUD_COVER')
 .first();

3. Defining the Region of Interest (ROI)

• Use geometry tools in the Code Editor or import shapefiles.
• Example:

var roi = ee.Geometry.Rectangle([90.35, 23.70, 90.45, 23.80]);

4. Visualizing and Exporting the Image

• Apply visualization parameters (bands, min/max values).
• Export the image to Google Drive or Cloud Storage:

Export.image.toDrive({
 image: image.select(['B4', 'B3', 'B2']),
 description: 'Sentinel2_RGB_Jan2023',
 scale: 10,
 region: roi,
 maxPixels: 1e13
});

5. Post-Processing

• Download the exported image from Google Drive.
• Use GIS software (e.g., ArcGIS, QGIS, or RStudio) for further analysis, classification, or map production.

Applications in Environmental Consulting

I integrate GEE workflows into:

• Land cover classification using Random Forest and SVM.
• Change detection for urban expansion and deforestation.
• Impact assessments for infrastructure and industrial projects.

For More Information and learning, stay with "royconsultbd.com"

Thank you, 
Roy