An Introduction to Google Earth Engine (GEE)

Name: An Introduction to Google Earth Engine (GEE)
Rating: 4.3 (31 reviews)

With Mini Project for College Project

Created byDinesh Bishwakarma

Last updated 6/2023

English

English [Auto],

What you'll learn

Using multi-petabyte catalog of satellite imagery and geo-spatial datasets with planetary-scale analysis capabilities.
Getting handy with the Landsat 8 and sentinel 2A imageries.
Calculating the different indices and Land Use Land Cover
Creating a simple GEE Application

Course content

1 section • 15 lectures • 2h 53m total length

Introduction4:23
Explore Google Earth Engine as a planetary-scale cloud platform for satellite imagery and geospatial data, with ready-to-use datasets and JavaScript and Python APIs for global analysis.
Introduction Quiz
Basic Tools and Menus8:40
Explore the basic tools and menus of Google Earth Engine, including the data catalog, datasets, assets, and code editor, to source imagery and manage map layers.
Checking the Editor2:24
In this session, we are going to check whether the code editor is working perfectly or not. Here we will print "Hello World" in the console. If the it is displayed in the console, then the code editor is ready to go.
Creating Region of Interest and Displaying it in the Map5:27
Uploading the Shapefile7:38
Learn how to upload a zip file containing a shapefile to Google Earth Engine, ingest it as an asset, and display and center it on the map.
Styling the Shapefile2:28
Learn how to style a shapefile in Google Earth Engine (GEE) by importing a zip file, renaming the layer, and applying a red outline with a transparent fill.
Uploading the Raster Datasets6:23
Upload a raster to Google Earth Engine, import and display it on the map, visualize with a -1 to 1 range and colors highlighting low values, vegetation, and urban areas.
Calculating NDVI from Sentinel 2A Imageries8:52
Spectral Reflectance Curve20:58
Explore how to generate the spectral reflectance curve in Google Earth Engine, using Landsat 8 top-of-atmosphere reflectance across wavelengths to analyze surface features.
Unsupervised Classification5:04
Supervised Classification21:46
Working with DEM (Hillshade, Slope, Aspect)14:46
Exporting Imageries to the Drive6:37
Export images from Google Earth Engine to Google Drive using the export image workflow, including setting descriptions, folder name, and run parameters; then view, download, and verify the exported file.
Creating User Interface in Google Earth Engine21:22
Mini Project in Google Earth Engine37:04
Explore a mini project in Google Earth Engine using Sentinel-2 data, select municipalities, filter by date and cloud cover, and visualize true color alongside water and build-up indices.

Requirements

Basic Knowledge of GIS, Remote Sensing and Javascript

Description

As the craze of Geographic Information System and Remote Sensing is increasing day by day, I've brought a tutorial on Google Earth Engine. Google Earth Engine is a very powerful tool for analyzing Earth Data. Since it contains the multi-petabyte of data and supports the cloud computation so, it is very easy to use and a productive one. The things that we do in hours in the GIS Softwares takes here only few minutes. As the tasks get easier , so it is the necessary one to learn the geospatial processing using the programming. This course is made for the beginner level students who have basic knowledge on Javascript and GIS. Here you will be learning from the basic to the hero level. All the course are made in English and the prompt responses will be available to the questions. The videos are made for the educational purpose and are available to all the students. Feel free to utilize the resources. Enjoy the tutorials. Cheers !!

So , if you have any sorts of Problem or Projects related to Geomatics Engineering tools like GIS, Remote Sensing, Photogrammetry, Geospatial Application development (Web based and Smart Phone based) etc, then feel to contact me.

There is no tomorrow to start so just start from now. I wish you the happy learning.

Who this course is for:

Geomatics Engineers, Geospatial Professionals, GIS Professional, Remote Sensing Professional