Welcome to our latest tutorial on how to generate annual surface water bodies maps using the Joint Research Centre (JRC) Yearly Water Classification dataset spanning from 1984 to 2022 in Google Earth Engine!
In this comprehensive guide, we'll walk you through the stepbystep process of utilizing the rich JRC Yearly Water Classification data within Google Earth Engine to create detailed maps of surface water bodies on an annual basis.

Whether you're a seasoned Earth Engine user or just getting started with remote sensing and geospatial analysis, this tutorial is designed to provide you with the skills and knowledge needed to produce accurate and insightful water body maps.

Our tutorial covers:
Introduction to the JRC Yearly Water Classification dataset and its significance in water resource monitoring.
Accessing and importing the JRC data into Google Earth Engine.
Preprocessing steps including data visualization and quality assessment.
Implementing classification algorithms to generate water body maps for each year in the dataset.
Refining the maps using filtering techniques to improve accuracy and reduce noise.
Visualizing and interpreting the results in Google Earth Engine.

By following along with our tutorial, you'll gain practical experience in leveraging Earth Engine's powerful capabilities to analyze longterm water dynamics and produce highquality maps suitable for various applications including hydrological modelling, environmental monitoring, and land use planning.

Don't miss out on this opportunity to enhance your geospatial analysis skills and unlock the potential of the JRC Yearly Water Classification dataset. Hit play now and start mapping the dynamic world of surface water bodies with Google Earth Engine!

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