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#maptimeDavis Workshop: Crop Type Mapping with Deep Learning using TensorFlow

November 10 @ 10:00 am - 12:00 pm

Description:

We will give a brief tutorial on machine learning methods in remote sensing. The focus will be on newer Deep Learning (Convolutional Neural Network) techniques, doing semantic segmentation with a UNet model. Not sure what all that means, no problem, and no installation, you’ll do it all on the cloud with Python and Tensorflow in Jupyter Notebooks and the freemium Google Colab platform.

Instructors:

Alex Mandel & Lily Thomas, Development Seed

Learner Objectives:

  • Understand how to apply Convolutional Neural Network techniques to remote sensing data

Prerequisites:

Previous experience with Python programming, Jupyter Notebooks, or classifying remotely sensed images will be helpful but is not required.

Participants should plan to have the following for the workshop:

  • Participants will need a Google account (Gmail, UC Davis or other Google Login) and a web browser.  We will use Google Colab to run the examples in python notebooks, try logging in with your Google Account https://colab.research.google.com

Registration:

Registration is recommended but not required.  Please register here.

Zoom:

https://ucdavis.zoom.us/meeting/register/tJwocu6tqDMpHdwsBkkZGS3vnsIOg73n7IbX
password: maps

More Info:

#maptimeDavis Workshops & Studio is brought to you by DataLab’s Spatial Sciences Research & Learning Cluster and members of the UC Davis spatial community.

Details

Date:
November 10
Time:
10:00 am - 12:00 pm
Event Category:
Website:
https://datalab.ucdavis.edu/spatial-sciences/

Organizer

Spatial Sciences Research Cluster
Email:
mmtobias@ucdavis.edu
Website:
http://ds.lib.ucdavis.edu/spatial-sciences/