GEE – ML workshop

INTERNATIONAL WORKSHOP ON GEOSPATIAL ANALYSIS USING GOOGLE EARTH ENGINE (GEE) AND MACHINE LEARNING WITH PYTHON

A two-day online workshop (WS) for post-graduate students and young researchers will be held on 6th (Sat) and 9th (Tues) May 2023.

ORGANIZED BY:

  • Centre for Education & Research in Geosciences (India)
  • Geoinformatics Lab., Osaka Metropolitan University (Japan)
  • International Institute of Information Technology (I2IT), (India)
  • Naresuan University, Phitsanulok. (Thailand)

WORKSHOP OUTLINE:

The workshop aims to provide insights into prominent Python libraries for Remote Sensing and geospatial analysis. The contents covered in each section are as listed below

Session 1

  • Introduction to Google Collab & GEE
  • Interacting with GEE using JavaScript Code Editor
  • Interacting with GEE using Python in Collab
  • Interacting with GEE using Python in Jupyter Notebook

Session 2

  • Introduction to basic toolsets for creating Machine Learning models
  • Numpy, Pandas, and Geopandas libraries for geospatial data analysis
  • Using Python to wrangle, plot, and build models using spatial datasets
  • Explore how to create, import, and export spatial data using Rasterio

 Session 3

  • Interaction with GEE using Python.
  • Define an area of interest.
  • Find and use satellite data.
  • Basic satellite data processing.

Session 4

  • Plotting graphs and maps using Plotly and Matplotlib
  • Gain insights into geospatial analytics and perform spatial analysis on your data.
  • Build a machine learning pipeline using the Scikit library
  • Deploying ML workflow and accuracy assessment in real-world use cases

LANGUAGE:   English

NUMBER OF PARTICIPANTS: Restricted to 30 (+-5)

WORKSHOP SCHEDULE (All times are GMT)

DAY 1: 06 May (Sat) 2023.

Time (GMT)Details
03:00 - 03:30Opening Session
04:00 - 06:00Session 1 : Google Collab for Geospatial analysis (Gopa Kumar et al.)
08:00 - 10:00 Session 2 : Geospatial Machine Learning I (Prakash et al.)

DAY 2: 09 May (Tue) 2023.

Time (GMT)Details
03:30 - 06:00 Session 3 : Interacting with GEE in Python (Gopa et al.)
08:00 - 10:00 Session 4 : Geospatial Machine Learning II (Prakash et al.)
10:00 - 10:30Closing Session

WORKSHOP FEE: 

Post-Graduate Students :25 USD *
Young Researchers employed at University / Research Institutes :50 USD

*Proof of full-time student status is required

RESOURCE PERSONS:

  • Dr. Duan H.D.,  International University-VNU-HCM (VN)
  • Mr. Gopakumar P., Freelance Geospatial Enthusiast (IN)
  • Dr. Prakash P.S. Research Associate, NUIG (IE)
  • Dr. Venkatesh R., Osaka Metropolitan University (JP)

WORKSHOP CO-ORDINATORS

  • Natraj Vaddadi (IN)
  • Dr. Rajesh Vattikuti (IN)
  • Dr. Sittichai Choosumrong (TH)


REQUIREMENTS:

  1. Participants need Google account and register as GEE user prior to registering for Workshop.
  2. Approval of GEE account could take few days for approval; hence it is better to obtain a GEE account well in advance (See https://signup.earthengine.google.com/).
  3. While some basic knowledge of Python programming is necessary to follow the tutorials, we welcome learners of all levels.
  4. Participants will be expected to complete some preparatory exercises before attending the training workshop.
  5. Ensure that you have a good, stable Internet connectivity.
  6. Access to computer and internet with Google Chrome, or FireFox (Latest Version) browser.
  7. Only participants successfully completing mid and final assignments will be awarded workshop completion certificates.
  8. Participants who are unable to complete assignments will receive attendance certificate only.
  9. Limited number of workshop fee waivers will be offered to deserving candidates on basis of competitive selection.

Last date for booking a seat for the workshop is 22 April 2023 (Anywhere on Earth (AoE) Time zone).


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