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David Saah, PhD

Associate Professor

Creating Google Earth Engine Classroom Resources

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THE OLD WAY

DOWNLOAD DATA

MOSAIC DATA

CORRECT DATA

PROCESSES DATA

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THE OLD WAY

DOWNLOAD DATA

MOSAIC DATA

CORRECT DATA

PROCESSES DATA

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Applications

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Challenges with this method for my learners

  1. My program is focused on a professional graduate program for environmental managers, and active decision makers and their organizations. Not Remote sensing technology developers.

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  • Time for data processing reduced time for making better data driven decisions

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  • Platforms, Many of these folks did not have significant GIT infrastructure, nor wanted it.

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  • Licensing was an issue for many of my learners

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  • Cost, Cost, and Cost…. (Time, Resources, and Opportunities…)

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WHAT ARE YOUR CHALLENGES?

  • My Program is focused on a professional graduate program for environmental managers, and active decision makers and their organizations. Not Remote sensing technology developers.

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  • Time for data processing reduced time for making better data driven decisions

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  • Platforms, Many of these folks did not have significant GIT infrastructure, nor wanted it.

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  • Licensing was an issue for many of my learners

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  • Cost, Cost, and Cost…. (Time, Resources, and Opportunities…)

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Needed Solution

  • Data organized and ready to analyse

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  • Method for analysing it

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  • Computational resources to analyse it in a GIT limited environment

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  • Operational

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  • Shareable

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How do you teach to these learners?

Remote Sensing Background?

Programming?

Full Time Student?

Domain Expertise?

Language Skills?

GIT Infrastructure?

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How do you teach to these learners?

Modular Approach that include:

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  • Lectures
  • Laboratories
  • Projects
  • Build-A-Thon
  • Case Studies
  • Community of Practices

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The Professional Graduate Program

None

None

Yes

Yes

ENGLISH

GOOD

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Format (3 hour sessions over 8 weeks)

  1. Lectures: 50 mins
  2. Labs’s : 90 ins
  3. Projects: 100 mins

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The Ministry EE Training Workshop

YES

NO

NO

Yes

Poor

MODERATE

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The Co-development Hackathon

YES

YES

NO

Yes

ENGLISH

GREAT

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https://github.com/Servir-Mekong/LandCoverMonitoring

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What Is Your Major Use Cases?

?

?

?

?

?

?

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PEDAGOGICAL APPROACHES

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LECTURES

Time: 30 - 90 mins

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Approach: Present information in a fashion that allows students to link learning objectives between Lectures.

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https://developers.google.com/earth-engine/edu

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LABS

Time: 60 - 120 mins

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Approach: Hands on experience focused on learning specific functions and methods

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https://developers.google.com/earth-engine/edu

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PROJECTS

Time: 8 - 60 Hours

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Approach: Hands on experience focused on learning application of the scientific method

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Example Submission

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https://code.earthengine.google.com/11ab1078340e088d0c045bc5da6b42b8

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Build-A-Thon

Time: 8 hours - Several Days

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Approach: Hands on experience focused on developing an innovative solution to an assigned challenge.

WE ARE GOING TO DO THIS ONE TOGETHER!!!!!!!!!!!!!!!!!!!!!!!

https://sites.google.com/earthoutreach.org/eeus2018/agenda/hackathon?authuser=0

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CASE STUDIES

Time: 8 - 60 Hours

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Approach: Hands on experience focused on learning application of the scientific method of a guided Application

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https://drive.google.com/file/d/1US71ZrgKGVyYf8zIRWPbE4FWiUL5VYmb/view?usp=sharing

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https://drive.google.com/file/d/1VSkjmdyy1xYPCdfpHCw8LgbmhfQ3px9Q/view?usp=sharing

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https://drive.google.com/file/d/1VlJRIsk5QitFT2uJlSXbV2yC2l3WUou2/view?usp=sharing

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https://www.mdpi.com/journal/remotesensing/special_issues/GEE

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COMMUNITY OF PRACTICE

Time: LIFELONG

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Approach: Develop a community of like minded individuals focused on mutual support and learning

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https://groups.google.com/forum/#!forum/google-earth-engine-developers

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RESOURCES & NEXT STEPS

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https://developers.google.com/earth-engine/tutorials

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Topics Currently Developed

What's Missing?

  1. Introduction to Remote Sensing and Earth Engine
  2. Characteristics of Remote Sensing Data
  3. Survey of digital Imagery
  4. Geographic Data Types
  5. Image Processing
  6. Spectral Indices
  7. Spectral Transformations
  8. Regression
  9. Classification
  10. Time Series

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Open Conversation….