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IT & Software Other IT & Software Spatial Analysis

Start with Google Earth Engine & Spatial Analysis #Beginners

Get introduced to Remote Sensing and big geodata and spatial analysis in Google Earth Engine, learn basics of JavaScript
Rating: 4.5 out of 54.5 (62 ratings)
6,366 students
Created by Kate Alison, Georg Müller
Last updated 10/2020
English
English [Auto]
30-Day Money-Back Guarantee

What you'll learn

  • Students will gain access to and a thorough knowledge of the Google Earth Engine platform
  • Get introduced to JavaScript skills on Google Earth Engine platform
  • Learn how to calculate spectral indices and work with Big data on cloud
  • Learn image classification (land cover mapping) basics in Earth Engine Explorer
  • Get introduction to Remote Sensing and satellite images
  • Understand how to work with satellite images on the desktop computer and on the cloud

Requirements

  • A working computer with internet connection
  • SOme knowledge of Remote Sensing / GIS would be an advantage

Description

Start with Google Earth Engine & Spatial Analysis #Beginners

This course is designed to take users who use GIS for basic geospatial data/GIS/Remote Sensing analysis to perform geospatial analysis tasks with Big Data on the cloud! This course provides you with all the necessary knowledge to start with Remote Sensing and Geospatial analysis in Google Earth Engine.

We will start with a thorough introduction to the Earth Engine Platform, then move to the basics of satellite image and image analysis (which is essential to understand when you would like to work with Earth Engine) and then move to a comprehensive overview of JavaScript basics for spatial analysis. We will cover essential blocks to equip you with the background knowledge and get you started with your analysis on the cloud.

Please, note: this is an introductory course with the main focus on Google Earth Engine. I do explain some basics of Remote Sensing, but it is not the main topic of this course.

By the end of the course, you will feel confident and understand the basics of JavaScript for spatial analysis with Big Data on Google Earth Engine cloud. This course will also prepare you for using geospatial analysis with open source and free software tools.

Who this course is for:

  • Geographers, Programmers, geologists, biologists, social scientists, or every other expert who deals with GIS maps in their field

Course content

4 sections • 13 lectures • 1h 48m total length

  • Preview07:27
  • Preview03:37

  • What is Remote Sensing?
    05:35
  • Introduction to raster data (satellite images)
    11:21
  • How to work with satellite Images?
    02:43

  • Interface of Google Earth Engine: Code Editor & Explorer
    08:56
  • JavaScript - get started!
    14:06
  • Lab: Mapping and Reducing Collection - Landsat Example
    21:54
  • Lab: Image Calculations - Create an image composite and calculate NDVI
    05:42
  • Lab: How to map a function over an image collection
    06:04
  • Getting started: your first task
    01:23

  • Image classification: get started
    18:57
  • BONUS
    01:04

Instructors

Kate Alison
Remote Sensing/GIS Expert & Data Scientist
Kate Alison
  • 4.3 Instructor Rating
  • 1,154 Reviews
  • 39,060 Students
  • 25 Courses

I am a passionate data scientist, Earth Observation (EO), and GIS expert and educator. I received my M.Sc. in Earth Observation and applied data science from the University of Southampton (United Kingdom) and I also hold a Ph.D. Degree in EO from Germany. I do regular teaching and training all over the world as well as do regularly consultancies on the mentioned topic. I have thousands of satisfied clients all over the world! And now I will be glad if I can teach also you these interesting, highly applied, and exciting topics!


For GIS & Remote Sensing students:

If you would like to learn comprehensively geospatial data analysis, here is a preferred order for how to take my courses:

Option 1: Take all individual courses that have more details on specific subjects, more lectures, and more labs in the following order:

1. Get started with GIS & Remote Sensing in QGIS #Beginners

2. Remote Sensing in QGIS: Fundamentals of Image Analysis 2020

3. Core GIS: Land Use and Land Cover & Change Detection in QGIS

4. Machine Learning in GIS: Understand the Theory and Practice

5. Machine Learning in GIS: Land Use/Land Cover Image Analysis

6. Machine Learning in ArcGIS: Map Land Use/ Land Cover in GIS

7. Object-based image analysis & classification in QGIS/ArcGIS

8. ArcGIS: Learn Deep Learning in ArcGIS to advance GIS skills

8. Google Earth Engine for Big GeoData Analysis: 3 Courses in 1

10. Google Earth Engine for Machine Learning & Change Detection

11. QGIS & Google Earth Engine for Environmental Applications

Option 2: Take my ‘joint’ courses that contain summarized information from the above courses, though in fewer details (labs, videos):

1. Geospatial Data Analyses & Remote Sensing: 4 Classes in 1

2. Machine Learning in GIS and Remote Sensing: 5 Courses in 1

3. Google Earth Engine for Big GeoData Analysis: 3 Courses in 1

4. Google Earth Engine for Machine Learning & Change Detection

Georg Müller
Data Science Experte
Georg Müller
  • 4.4 Instructor Rating
  • 315 Reviews
  • 21,373 Students
  • 8 Courses

Ich bin ein erfahrener Berater und Experte in Data Science. Ich habe mein MSc in Informatik an der TH Köln und MBA an der Universität Durham (UK) erlangt und habe mich später im Fachbereich Informatik promoviert. Als erfahrene Trainer mit mehr als 15 Jahren Berufserfahrung möchte ich meine Leidenschaft, praktische Erfahrungen und Kenntnisse in den Themen Big Data, Data Science, Data Analytics und IT management mit den anderen teilen und die praktische Kompetenzen von meinen Studenten auf ein sehr hohes Niveau bringen.

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