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Snow Cover Monitoring with MODIS and Google Earth Engine
Rating: 5.0 out of 5(1 rating)
122 students

Snow Cover Monitoring with MODIS and Google Earth Engine

Satellite Snow Cover Monitoring
Created byEarth's AI
Last updated 7/2025
English

What you'll learn

  • Understand the basics of remote sensing and MODIS satellite data used for snow cover monitoring.
  • Access, filter, and visualize snow cover data using Google Earth Engine (GEE).
  • Analyze seasonal snow trends by building time series from MODIS NDSI_Snow_Cover datasets.
  • Export snow cover maps as GeoTIFF files for offline analysis or GIS integration.

Course content

1 section • 6 lectures • 1h 2m total length

  • Fundamentals of Remote Sensing13:19

    Explore the basics of remote sensing, including how satellites collect environmental data. Understand key concepts such as spectral bands, resolution, and data types. This lecture sets the foundation for analyzing earth observation data, crucial for monitoring natural phenomena like snow cover.

  • Understanding Snow Cover and Its Importance7:52

    Learn about snow cover’s role in climate, water resources, and ecosystems. Discover how snow cover impacts environment and human activities. This lecture explains snow cover dynamics, measurement challenges, and why monitoring snow is essential for environmental management and climate studies.

  • Introduction to Google Earth Engine (GEE) Basics9:25

    Get introduced to Google Earth Engine, a powerful cloud platform for satellite data analysis. Learn how to access datasets, run scripts, and visualize results. This lecture prepares you to use GEE tools for environmental monitoring tasks like snow cover assessment.

  • MODIS Satellite Data and Snow Cover Datasets5:38

    Dive into MODIS satellite data specifics, focusing on snow-related products like NDSI_Snow_Cover. Understand data formats, temporal coverage, and limitations. Learn how to select, filter, and prepare MODIS datasets in GEE for effective snow cover analysis.

  • Getting Started with the Google Earth Engine Interface3:38



    This section introduces the Google Earth Engine platform, guiding learners through accessing the Code Editor, understanding its interface, and exploring key panels like the script editor, map viewer, inspector, and data catalog. It helps beginners get comfortable navigating GEE before writing any code or performing analysis.

  • Practical Implementation: Snow Cover Monitoring Using GEE22:56

    Apply your knowledge by working through hands-on examples in GEE. Learn how to process MODIS snow data, create time series, visualize snow cover, and export maps. This practical session equips you with skills to monitor snow trends and support environmental decision-making.

Requirements

  • No prior experience with Google Earth Engine is required — the course will guide you step-by-step.

Description

This course provides a thorough introduction to snow cover monitoring using MODIS satellite data and the Google Earth Engine (GEE) platform. Designed for students, researchers, environmental professionals, and anyone interested in remote sensing, this course covers essential concepts and practical skills needed for effective snow cover analysis. You will start by learning the fundamentals of remote sensing, including how satellites collect data, spectral bands, spatial and temporal resolution, and data processing basics. The course emphasizes the importance of snow cover for climate regulation, water resource management, and ecosystem health, explaining why accurate monitoring is critical.

You will then be introduced to Google Earth Engine, a powerful cloud-based platform for analyzing large-scale geospatial datasets. The course guides you through accessing, filtering, and visualizing MODIS snow cover data, focusing on the NDSI_Snow_Cover product. You’ll learn how to handle temporal data, generate maximum snow cover maps for specific periods, and create insightful time series to observe seasonal and yearly trends.

Hands-on implementation is a key part of this course. You will work with real datasets to process, visualize, and interpret snow cover changes over multiple years. You will also gain practical experience exporting your results as GeoTIFF files for use in GIS or further analysis. By the end of the course, you will be equipped with the knowledge and skills to confidently monitor snow cover dynamics, apply remote sensing techniques, and leverage GEE’s capabilities to support environmental research, climate studies, and resource management decisions.

Who this course is for:

  • Students and researchers in agriculture, environmental science, geography, or remote sensing looking to apply satellite data in real-world scenarios.

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