[100% Off] Introduction to Google Earth Engine (GEE)
Google Earth Engine is a platform for scientific analysis and visualization of geospatial datasets, for academic, non-profit, business and government users.
Google Earth Engine hosts satellite imagery and stores it in a public data archive that includes historical earth images going back more than forty years. The images, ingested on a daily basis, are then made available for global-scale data mining.
Earth Engine also provides APIs and other tools to enable the analysis of large datasets.
Google Earth enables you to travel, explore, and learn about the world by interacting with a virtual globe. You can view satellite imagery, maps, terrain, 3D buildings, and much more.
Earth Engine, on the other hand, is a tool for analyzing geospatial information. You can analyze forest and water coverage, land use change, or assess the health of agricultural fields, among many other possible analyses.
While the two tools rely on some of the same data, only some of Google Earth’s imagery and data is available for analysis in Earth Engine.
In this course you will learn:
Google Earth Engine Course overview
Basic programming concepts
Mostly used GEE JS API syntax
How to write efficient code guide
Working with vector and raster datasets
Where to get different datasets for GEE
How to import and visualize vector datasets
How to import and visualize raster datasets
How to import your own vector or raster dataset in GEE
Filtering the feature or image collection
The need for filtering datasets
Different types of filters
When and where to use filters
Reducing and Clipping image collection
The role of reducers
Different types of reducers
Converting image collections into single image
Use of operators in programming
Efficient use of Operators in GEE
Evaluating NDVI using operators
Automating the analysis in GEE
The need of automation in GEE
The concept of For-Loops (with reference to Python)
Implementation of For-Loops in GEE using “.Map” function.
Who this course is for:
- GIS users
- GIS developers
- Dadabase managers
- Geospatial enthusiasts