Satellite Remote Sensing with Earth Engine API
4.3 (136 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
1,827 students enrolled

Satellite Remote Sensing with Earth Engine API

Learn to analyze Remote Sensing and GIS data with the Earth Engine JavScript API cloud computing open source tool
4.3 (136 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
1,827 students enrolled
Last updated 2/2019
English
Current price: $11.99 Original price: $199.99 Discount: 94% off
2 days left at this price!
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This course includes
  • 3 hours on-demand video
  • 3 articles
  • 6 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
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What you'll learn
  • At the end of this course, students will be able to master concepts in remote sensing.
  • Learn the basics of remote sensing principles

  • Master the image processing skills: mosaicking, compositing, resampling, reprojection, spectral unmixing, and classification

  • Access and download freely available Earth observation satellite data
  • Get familiarized with various satellite sensors and remotely sensed products
  • Understand the applications of remote sensing
  • Process and analyze big Earth observation data using cloud computing
Requirements
  • No prior knowledge of remote sensing is required.
  • Anyone interested in remote sensing or big Earth Observation data analysis
Description

Do you want to learn the fundamentals of remote sensing?

Do you want to learn how to access, process and analyze remote sensing and GIS data using free open source tools?

Do you want to solve a real-world problem using freely available satellite data?

Do you want to acquire new hands-on Remote Sensing skills that will prepare you for a remote sensing and GIS job in the geospatial industry?


Enroll in my new course Satellite Remote Sensing with Earth Engine API.


I will provide you with hands-on training with example GIS and Remote Sensing data, sample scripts, and real-world applications.  

By taking this course, you will take your satellite remote sensing skills to the next level by gaining proficiency un satellite remote sensing and geospatial analysis with GEE, a cloud-based Earth observation and GIS data visualization analysis by powered by Google.

 

What makes me qualified to teach you?

I am Dr. Alemayehu Midekisa, PhD and I am a lecturer and research scientist at the University of California. I have over 10 years of experience in processing and analyzing real GIS and Earth observation data from various sources including Landsat, MODIS, Sentinel-2, SRTM and other remote sensing products.

I am also the recipient of one the prestigious NASA Earth and Space Science Fellowship. I teach over 10,000 students on Udemy.

In this Satellite Remote Sensing with Earth Engine API course, I will help you get up and running on the Google Earth Engine JavaScript API platform form to process and analyze geospatial data. By the end of this course, you will be equipped with a set of new Remote Sensing skills including accessing, downloading processing, analyzing, and visualizing GIS and Earth Observation big data. The course covers various topics including introduction to remote sensing, types of resolutions, remote sensing data sources, digital image processing, and image classification. In this course, I will use real satellite data including Landsat, MODIS, Sentinel-2, and others to provide you a hands-on practical experience of working with freely available remotely sensed data. I will walk you through a step by step video tutorials to process and analyze remote sensing and GIS data with using cloud platform. In addition to learning the basic concepts, theories and terminologies, you will also learn the steps for image processing including mosaicking, resampling, reprojections, compositing, spectral unmixing, spectral transformation, and classification using real world satellite data and example scripts. All sample data and script will be provided to you as an added bonus throughout the course.


Jump in right now to enroll. To get started click the enroll button.

 

Best,

Alemayehu

 

Who this course is for:
  • Anyone interested in learning how to process and analyze Earth observation data with Google earth Engine
  • Anyone interested to learning the basics of satellite remote sensing
Course content
Expand all 39 lectures 03:02:59
+ Introduction to Remote Sensing
4 lectures 21:27
Section Intro
00:21
Definition of Remote Sensing
12:23
Passive and Active Sensors
04:30
+ Introduce Yourself
1 lecture 00:15
Assignment: Introduce Yourself
00:15
+ Explore Earth Engine API
4 lectures 14:26
Section Intro
00:22
Introduction to Earth Engine
01:46
Explore Earth Engine
08:46
Sign Up with Earth Engine
03:32
+ Earth Engine Code Editor
4 lectures 21:15
Section Intro
00:20
Basic JavaScript Syntax
05:27
Code Editor
08:13
Image Visualization
07:15
+ Remote Sensing Data Sources
3 lectures 21:11
Section Intro
00:29
Sources of Remote Sensing Data
06:56
Earth Observation Satellites
13:46
+ Image Resolution
3 lectures 21:33
Section Intro
00:27
Types of Resolution
06:06
Image Resolution
15:00
+ Digital Image Processing
7 lectures 37:14
Section Intro
00:24
Compositing
08:23
Convolutions
06:35
Edge Detection
04:06
Resampling
04:16
Reprojection
05:29
+ Spectral Transformation
4 lectures 18:40
Section Intro
00:21
EVI
05:42
Spectral Unmixing
05:32