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Satellite Imagery

Satellite imagery refers to images of Earth or other planets collected by imaging satellites orbiting in space. These images are captured using various sensors (e.g., optical, radar, multispectral) and provide data for applications like mapping, environmental monitoring, agriculture, and urban planning. The technology enables large-scale, remote observation of geographical features, weather patterns, and human activities from a global perspective.

Also known as: Satellite images, Remote sensing imagery, Earth observation data, Geo-imagery, Orbital photography
🧊Why learn Satellite Imagery?

Developers should learn satellite imagery for building applications in geospatial analysis, climate science, disaster response, and precision agriculture, where real-time or historical Earth observation data is critical. It's essential for roles in GIS (Geographic Information Systems), remote sensing, and data science projects that require spatial data integration, such as tracking deforestation, urban growth, or crop health using platforms like Google Earth Engine or Sentinel Hub.

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