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In this course, you will learn advanced techniques for processing geospatial data with Google Earth Engine, including vegetation indices, machine learning applications such as supervised classification and Random Forest, environmental monitoring, and developing interactive maps.

Vegetation indices such as NDVI and EVI are used to analyze the health and density of vegetation. In this course, you will learn how to calculate and apply these indices for environmental monitoring and agricultural monitoring using Google Earth Engine.

Yes, this course includes the use of machine learning techniques, such as supervised classification and Random Forest, for analyzing and classifying geospatial data in Google Earth Engine.

You will learn how to use Google Earth Engine for environmental monitoring by applying land cover classification and change detection techniques. This is crucial for projects focused on sustainability and conservation.

The course covers the development of advanced visualization techniques, including interactive map applications and time series, to make complex geospatial data understandable and accessible..

Upon completing the course, you will have advanced skills in Google Earth Engine, enhancing your career opportunities in various fields within the geospatial sector, such as GIS expertise, environmental management, and agricultural monitoring.