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Satellite Image-Based Reservoir Monitoring with GEE
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Satellite Image-Based Reservoir Monitoring with GEE

About this course

Water reservoirs are critical for agriculture, energy, and drinking water supply, yet monitoring their changing water levels is challenging due to limited ground data. In this comprehensive course, you will learn how to harness freely available Sentinel-2 satellite imagery and the powerful cloud-based platform Google Earth Engine to remotely monitor reservoir water extent over time.Starting with the basics, the course walks you through accessing Sentinel-2 Level-2A imagery, applying cloud masking to improve data quality, and calculating the Normalized Difference Water Index (NDWI) to highlight water bodies. You’ll learn to extract accurate water surface areas in square kilometers within your area of interest, enabling quantitative analysis of reservoir fluctuations.Additionally, you will visualize temporal changes by creating time series charts that illustrate how reservoir extents evolve across seasons and years. This skillset is essential for environmental scientists, hydrologists, and water resource managers seeking to understand and respond to water availability challenges.By the end of the course, you will be confident in using Google Earth Engine’s JavaScript API to process satellite data and generate meaningful insights on reservoir health, all without needing advanced coding or remote sensing experience. Empower yourself with practical, hands-on knowledge to support sustainable water management decisions using satellite technology.

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What you'll learn

  • access Sentinel-2 Level-2A imagery
  • apply cloud masking techniques for data quality
  • calculate Normalized Difference Water Index (NDWI)
  • extract water surface areas in square kilometers
  • visualize temporal changes with time series charts
Data Analysis Sustainability #data processing #time series analysis #satellite imagery #environmental science #Google Earth Engine #hydrology #water resource management #reservoir monitoring #cloud masking #ndwi
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