Complete Google Earth Engine for Remote Sensing & GIS

Harness the Power of Google Earth Engine for GIS Spatial Data Analysis & Remote Sensing

4.30 (1032 reviews)
Udemy
platform
English
language
Science
category
instructor
4,583
students
5 hours
content
Oct 2021
last update
$124.99
regular price

What you will learn

Students will gain access to and a thorough knowledge of the Google Earth Engine platform

Carry out pre-processing and processing of satellite data in the cloud

Implement some of the most common GIS techniques on satellite data

Implement time series analysis of multi-temporal optical data

Implement machine learning algorithms on satellite data

Gain proficiency in JavaScript for satellite data processing

Description

ENROLL IN MY LATEST COURSE ON HOW TO LEARN ALL ABOUT BASIC SATELLITE REMOTE SENSING AND GIS ANALYSIS USING GOOGLE EARTH ENGINE (GEE).

Are you currently enrolled in any of my GIS and remote sensing related courses?

Or perhaps you have prior experience in GIS or tools like R and QGIS?

You don't want to spend 100s and 1000s of dollars on buying commercial software for imagery analysis?

The next step for you is to gain proficiency in satellite remote sensing data analysis and GIS using GEE, a cloud based endeavor by Google that can help process several petra-byte of imagery data

MY COURSE IS A HANDS ON TRAINING WITH REAL REMOTE SENSING AND GIS DATA ANALYSIS WITH GOOGLE EARTH ENGINE- A planetary-scale platform for Earth science data & analysis; powered by Google's cloud infrastructure. !

My course provides a foundation to carry out PRACTICAL, real-life remote sensing and GIS analysis tasks in this powerful cloud-supported paltform . By taking this course, you are taking an important step forward in your GIS journey to become an expert in geospatial analysis.

Why Should You Take My Course?

I am an Oxford University MPhil (Geography and Environment) graduate. I also completed a PhD at Cambridge University (Tropical Ecology and Conservation).

I have several years of experience in analyzing real life spatial remote sensing data from different sources and producing publications for international peer reviewed journals.

In this course, actual satellite remote sensing data such as Landsat from USGS and radar data from JAXA  will be used to give a practical hands-on experience of working with remote sensing and understanding what kind of questions remote  sensing can help us answer.

This course will ensure you learn & put remote sensing data analysis into practice today and increase your proficiency in geospatial analysis.

Remote sensing software tools are very expensive, and their cost can run into thousands of dollars. Instead of shelling out so much money or procuring pirated copies (which puts you at arisk of prosecution), you will learn to carry out some of the most important and common remote sensing analysis tasks using one of the most powerful earth observation data and analysis platform GEE is rapidly demonstrating its importance in the geo-spatial sector and improving your skills in GEE will give you an edge over other job applicants..

This is a fairly comprehensive course, i.e. we will focus on learning the most important and widely encountered remote sensing data processing and and GIS analysis techniques in Google Earth Engine

You will also learn about the different sources of remote sensing data there are and how to obtain these FREE OF CHARGE and process them using within GEE.

In addition to all the above, you’ll have MY CONTINUOUS SUPPORT to make sure you get the most value out of your investment!

ENROLL NOW :)

Screenshots

Complete Google Earth Engine for Remote Sensing & GIS - Screenshot_01Complete Google Earth Engine for Remote Sensing & GIS - Screenshot_02Complete Google Earth Engine for Remote Sensing & GIS - Screenshot_03Complete Google Earth Engine for Remote Sensing & GIS - Screenshot_04

Content

Introduction to Google Earth Engine (GEE)

What is Google Earth Engine?
INTRODUCTION TO THE COURSE: The Key Concepts and Software Tools
Scripts For the Course

Get Started with GEE

Explore the Google Earth Engine (GEE) Interface
Sign-up for GEE
Explore the Datasets in Google Earth Engine (GEE)
GEE Explorer for Satellite Data Analysis
Code Editor of GEE

Introduction to the GEE Code Editor

Hello to Javascript
Read in Display Single-Band Raster Data
Read & Visualize Multi-Band Raster Data
Start With Image Collections
Visualize Vector Data
More Feature Data Manipulation
Read in Shapefiles
Uploading Shapefiles Without Fusion Tables
Section 3 Quiz

Common GIS Operations Using Google Earth Engine (GEE)

Filter a Feature Collection
Create a Buffer Around a Feature Collection
Compute Zonal Statistics on Feature Data
Filter an Image Collection
Filter an Image Collection According to Path and Row
Filter and Apply Statistical Function on Each Band
Select & Display a Specific Image
User Defined ROI
Create a Categorical DEM Map
Deriving Topographic Products from Elevation Data
Section 4 Quiz

More GIS Operations in GEE

Clipping a Raster Using a Feature
Band Arithmetic on Raster Data in GEE
User Defined Functions
More Arithmetic Operations in GEE
Threshold Operations on Raster Data
Threshold With Canny Edge Detector
Resampling a Raster
Change Raster Resolution
Raster to Vector Conversion
Vector to Raster Conversion

Plotting and Exporting GEE Data

Use of Reducer Function
Plot Temporal Variation
Spectral Signatures Over Time & Space
Grouped Means for Two Raster Bands
Apply Simple Linear Regression
Export Raster Data
Export Data in CSV Format
Section 6 Quiz

Working with Optical Data-Landsat

Principles Behind Collection of Optical Remote Sensing Data
Why Do We Need Pre-Processing of Landsat Data
Different Landsat Sensors
Apply Atmospheric Correction to Landsat Data
Pan Sharpening Landsat Images
More Pan-Sharpening
Create a Landsat Composite
Texture Indices-Theory
Compute Texture Indices From an Image
Spectral Unmixing for Mapping
Unsupervised Classification- Theory
Unsupervised Classification-K Means Clustering
Supervised Classification-Theory

Common Remote Sensing Applications

Read in and Visualize Socio-Economic Data
Hansen Forest Loss Data
Compute Forest Loss at Country Scale with Hansen
Compute Forest Loss at Sub-Country Scale with Hansen
Section 8 Quiz

Miscellaneous Lectures

Quick Primer on Spatial Data

Reviews

Samuel
July 7, 2022
Yes the code introduced me to earth engine, but understanding the logic of why some code was used, and/or how it works, was not adequately explained in 90% of the lessons.
Marks
July 5, 2022
The instructor is brilliant, in the course, the power of GEE for GIS spatial data analysis and remote sensing
Rajesh
June 30, 2022
The course contains valuable information about the importance of GEE for spatial data analysis and remote sensing. The instructor has shown clarity and depth in her lectures.
Mario
April 23, 2022
The instructor has brilliantly exhibited , in the course, the power of GEE for GIS spatial data analysis and remote sensing
EL
April 3, 2022
she is just reading , she dosn't explain methods if you want to understand the origin of thing , the course will not help you
Bruno
February 21, 2022
Feel like scripts are just being thrown there in the classes without much explanation, maybe I was not ready for this course but there were no requirements I haven't met.
Shaivya
January 3, 2022
A very good and comprehensive course on GEE indeed. Well divided in sections. Just if the coding part has more explanation would be better for people with no prior experience in the same. Overall a well versed course for someone looking to get started with learning GEE spatial data analysis.
Sungi
December 26, 2021
Very useful course containing vital information about the utility and importance of GEE for GIS spatial data analysis and remote sensing.
Rony
December 24, 2021
A well-structured course regarding the utility and importance of GEE for GIS spatial data analysis and remote sensing.
Amit
December 14, 2021
The course contains valuable information about the utility of GEE for GIS spatial data analysis and remote sensing. The instructor is well-versed with the subject and her lectures are interesting and educative.
Sangeeta
November 28, 2021
The course contains useful and important information about the utility of GEE for GIS data analysis and remote sensing. The course has immense potential for practical applications. The instructor is well-versed with the subject and her delivery is interesting and engaging.
Raveena
November 12, 2021
This is an amazing course outlining the importance of GEE for GI spatial data analysis and remote sensing. It has unlimited scope and potential for practical applications. The instructor has perfect knowledge of the subject. She is very articulate and unambiguous in explaining minutest details of the concept.
Rishilal
August 11, 2021
The course contains valuable information about the importance of GEE for GIS spatial data and remote sensing. The instructor has ideally structured the course which makes it easy to follow and grasp. I am sure that I will greatly benefit from this course.
Raj
August 11, 2021
The course is beyond my expectations. I will be applying the concept to my work which will certainly enhance the quality of my work by several notches. The instructor has brilliantly explained the minutest details of the concept in her lectures.
Muhammad
August 2, 2021
For me dealing with big datasets like Climate Data for Hydrological modeling is always challenging. I hope with this course (GEE) I will save much of my computational space and time. Thanks Teacher

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1470528
udemy ID
12/15/2017
course created date
11/20/2019
course indexed date
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