Agenda

  • This agenda may be subject to change.
  • All participants will bring their own laptop (no tablets), and a charger. We also recommend having the current version of Chrome installed. 
  • The venue has wifi access.

Timetable

08:30 - 09:00     Door Open

09:00 - 09:15     Opening 

09:15 - 10:15     Partner Talk

  • Mr. Naoto Matsuura
    Senior Chief Officer of Satellite Applications and Director of Earth Observation Research Center (EORC) at the Japan Aerospace Exploration Agency (JAXA) 

  • Dr. Wataru Takeuchi
    Professor in the Department of Civil Engineering at The University of Tokyo

  • Team FAMOST 
    Cross-sectorial project at Ministry of Agriculture, Forestry and Fisheries (MAFF)

  • Mr. Toshio Okumura
    Group Leader of Application Development Group from Remote Sensing Technology Center of Japa

10:15 - 10:20     Introduction of breakout sessions

10:20 - 10:30     Break and move

10:30 - 12:30     Breakout sessions 1 *Please see 'Breakout sessions' below for details.

TensorFlow and Earth Engine Earth Engine Apps and User Interface Theme based workflow example - Agriculture/Nightlight


12:30 - 13:30     Lunch

13:30 - 14:00     Lightning talk 

14:00 - 16:00     Breakout sessions 2 *Please see 'Breakout sessions' below for details.

TensorFlow and Earth Engine Earth Engine Apps and User Interface Theme based workflow example - Agriculture/Nightlight

 
16:00 - 16:15     Break and move

16:15 - 17:45     Breakout sessions 3 *Please see 'Breakout sessions' below for details.

Image segmentation and object based methods for image analysis Importing & Exporting data to/from Earth Engine How to be an Earth Engine trainer


17:45 - 18:00     Wrap up

18:00 - 19:00     Mingle

 

Breakout sessions

Lecturer : Nick Clinton

Description: Introduction to coding with the TensorFlow Estimator API. This course is an end-to-end walkthrough of generating training and validation data in Earth Engine, exporting to the TFRecord format, building a simple DNN model in TensorFlow, training and evaluation with the EE data, classification of an image as a TFRecord file, and import back to Earth Engine.

Prerequisites: Python programming. Google Colab is installed as a Drive service.

Lecturer : Michael DeWitt

Description: This class will introduce new tools that make it easy to design interactive Earth Engine visualizations and publish as Apps. Learn to make interactive maps with Earth Engine, including widgets for labels, buttons, sliders, panels, charts and maps.

Prerequisites: None

Presenter: Yasushi Onda

Description: This session will introduce workflow examples for specific themes, agriculture and nightlight. Users can learn specific examples of workflows such as agriculture, and understand the relevant GEE functionality that are used in workflows. This will help users to understand the link between a GEE function and an actual workflow.

Prerequisites: None

Lecturer : Nick Clinton

Description: Learn how to use the spatial, spectral and shape properties of image segments in classification.

Prerequisites: Earth Engine 101 or equivalent

Presenter: Michael DeWitt

Description: This session will cover how users can bring their own vector/raster data into Earth Engine and the different ways users can take the results of their analyses out of Earth Engine.

Prerequisites: None

Presenter: Yasushi Onda

Description: Participants can learn materials and tips which can be helpful for them to teach Google Earth Engine to others.

Prerequisites: None