Published on Sep 18, 2020 | BIkesh Bade | 6306 Views

Introduction 

Google Earth Engine is a geospatial processing service with the motto "To organize the world's information and make it universally accessible and useful.".It combines a multi-petabyte catalog of satellite imagery and geospatial datasets with planetary-scale analysis capabilities and makes it available for scientists, researchers, and developers to detect changes, map trends, and quantify differences on the Earth's surface.

Why use Google Earth Engine?

There are many reasons to use Google Earth Engine, but the only things that make it outstanding are it's powerful free cloud processing and Planetary-scale datasets. Some of the benefits of the Google Earth Engine are:

• Planetary Scale Public datasets

• Flexible APIs for development

• Free Cloud Processing power

• Git functionality

• Upload your own data

• Dynamic and Easy User interface

GEE limitation?

Every system has its own limitation regarding the need for the user. GEE is not designed for the following:

• Large Vector data processing

• Impressive Cartography

• User limitation on data processing and data exporting

• All GIS functionality

• Graphical/noncoding users 

Datasets

The public data archive includes more than thirty years of historical imagery and scientific datasets, updated, and expanded daily. It contains over twenty petabytes of geospatial data instantly available for analysis.

How to be the part of GEE?

Its quite easy then you can imagine, to be the part of Google Earth Engine. All you need is a Gmail account and Chrome browser (preferred). It's free of cost and its platform-independent. You can use it when and where ever you need it, all you need is an internet connection. To be part of GEE,  signup in the Link

Code Editor

The Earth Engine (EE) Code Editor at code.earthengine.google.com is a web-based IDE for the Earth Engine JavaScript API. Code Editor features are designed to make developing complex geospatial workflows fast and easy. For more details, you can visit the Link

 Easy Tutorials and Happy coding

        Basic

• Hello Google Earth Engine
• Google earth engine Detail comparison between Python and JavaScript
• Spectral Indices
• Image Preprocessing
• Calculate NDVI and Export
• Google Earth Engine tip 1 (clipping)
• Others Coming soon

        Intermediate

• Zonal Statistics
• Supervised Classification
• Land Cover Mapping
• Time series with Google Earth Engine
• Extract CHIRPS data in excel for survey points
• Others Coming soon