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Start with Google Earth Engine & Spatial Analysis #Beginners

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Kate Alison,Georg Müller

1:50:00

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  • 1. Introduction and why Earth Engine.mp4
    07:27
  • 2. Lab Sign up for Google Earth Engine.mp4
    03:37
  • 3. What is Remote Sensing.mp4
    05:35
  • 4. Introduction to raster data (satellite images).mp4
    11:21
  • 5. How to work with satellite Images.mp4
    02:43
  • 6. Interface of Google Earth Engine Code Editor & Explorer.mp4
    08:56
  • 7. JavaScript - get started!.mp4
    14:06
  • 8. Lab Mapping and Reducing Collection - Landsat Example.mp4
    21:54
  • 9. Lab Image Calculations - Create an image composite and calculate NDVI.mp4
    05:42
  • 10. Lab How to map a function over an image collection.mp4
    06:04
  • 11. Getting started your first task.mp4
    01:23
  • 12. Image classification get started.mp4
    18:57
  • 13. BONUS.mp4
    02:15
  • Description


    Get introduced to Remote Sensing and big geodata and spatial analysis in Google Earth Engine, learn basics of JavaScript

    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

    Who is this for?


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


    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

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    I am a passionate data science expert and educator.  I do regular teaching and training all over the world. I have many satisfied students! And now I will be glad if I can teach also you these interesting, highly applied, and exciting topics!For GIS & Remote Sensing students:Order of how to take my courses:Option 1: Take all individual courses that contain more details  and more labs in the following order:1. Get started with GIS & Remote Sensing in QGIS #Beginners2. Remote Sensing in QGIS: Fundamentals of Image Analysis 20203. Core GIS: Land Use and Land Cover & Change Detection in QGIS4. Machine Learning in GIS: Understand the Theory and Practice5. Machine Learning in GIS: Land Use/Land Cover Image Analysis6. Machine Learning in ArcGIS: Map Land Use/ Land Cover in GIS7. Object-based image analysis & classification in QGIS/ArcGIS8. ArcGIS: Learn Deep Learning in ArcGIS to advance GIS skills8. Google Earth Engine for Big GeoData Analysis: 3 Courses in 110. Google Earth Engine for Machine Learning & Change Detection11. QGIS & Google Earth Engine for Environmental Applications12. Advanced Remote Sensing Analysis in QGIS and on cloudOption 2: Take my combi-courses that contain summarized information from the above courses, though in fewer details (labs, videos):1. Geospatial Data Analyses & Remote Sensing: 4 Classes in 12. Machine Learning in GIS and Remote Sensing: 5 Courses in 13. Google Earth Engine for Big GeoData Analysis: 3 Courses in 14. Google Earth Engine for Machine Learning & Change Detection5. Advanced Remote Sensing Analysis in QGIS and on cloud
    Georg Müller
    Georg Müller
    Instructor's 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.
    Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.
    • language english
    • Training sessions 13
    • duration 1:50:00
    • Release Date 2023/04/26