Satellite Image Analysis Special Interest Group

Winter 2021 Quarter

Date Topic Presenters
March 11, 4:30pm Radiant MLHub: An Ecosystem to Advance Machine Learning Applications in Earth Science Hamed Alemohammad, Radiant Earth Foundation

Winter 2020 Quarter

Date Topic Presenters
Feb 5, 3:30pm Tracking high latitude surface water dynamics using CubeSat imagery and machine learning Sarah Cooley, Brown University
Feb 25, 3:30pm Machine Learning and Glaciological Remote Sensing: A New Era Yara Mohajerani, UC Irvine

Fall 2019 Quarter

Date Topic Presenters
Oct 23, 4:00pm Precision Agriculture Talk & Networking Alireza Jazayeri, Climate Corporation
Nov 14, 4:00pm - Nov 16 Fall SatHack 19 Everybody

Meeting Time: Spring 2019 Quarter Every other Thursday, 12:30-2:00pm

Date Topic Presenters
April 4 Resources Guide  
April 18 Formulating Machine Learning Problems for Satellite Imagery Valentina Staneva
April 25 Ask a question: stop by to ask questions/discuss project ideas Amanda & Valentina
May 2, 4:00pm - May 3, 6:00pm SatHack: Satellite Imagery Hackday  
May 16 Accessing Landsat Data on AWS and Getting Started with AWS Sagemaker Amanda Tan
May 30 Unlocking the archives: an automated processing pipeline for decadal-scale glacier mass-balance from historical imagery Friedrich Knuth

Meeting Time: Winter 2019 Quarter Every other Wednesday, 12:30-1:30pm

Date Topic Presenters
Jan 9, 3:30-5:00pm Networking Event Shay Strong: Machine Learning with Satellite Imagery: From Water Conservation to Catastrophe Assessment
Jan 23, 12:30 -1:30pm Labelling Human Activities on Satellite Imagery Wanli Cheng
Feb 6, 12:30-1:30pm Delineating and characterizing Pacific Northwest forest conditions with Machine Learning models trained on publicly-available data David Diaz
Feb 20, 12:30-1:30pm A Road Map for Remotely Sensed Snow Product Feasibility using Google Earth Engine Victoria Ly
Mar 6, 12:30-1:30pm A GEE and Python workflow for cloudy gap filling in flood detection Ian Davies
Mar 20, 12:30-1:30pm Google Earth Engine Tutorial Matthew Bonnema

Meeting Time: Fall 2018 Quarter Every other Thursday, 12:00pm - 1:00pm


Date Topic Presenters
Nov 1 Lightning Talks All
Nov 15 Data Processing Workflows David Diaz: Dask.distributed pipeline chaining together command line calls for point cloud processing on a single server
Amanda Tan: Simplified Workflow for Processing and Analyzing High-Resolution Satellite Imagery
Valentina Staneva: From Open Satellite Data to Emergency Response
Nov 29 Data Processing Workflows Aji John: Serverless Workflow Enablement and Execution Platform (SWEEP)
Scott Henderson: The Pangeo project and Cloud-native workflows for satellite imagery

Location: WRF Data Science Studio, UW Physics/Astronomy Tower, 6th floor

With the rise of publicly available satellite imagery data sets provided by both federal institutions and private companies, opportunities have grown to use these data sets to answer questions in a variety of domains (geosciences, social sciences, urban studies, etc).

Satellite and other aerial images can provide observations of the Earth at very high spatial and temporal resolution, but with that come challenges around managing large scale data sets and extracting relevant information from high-dimensional data.

Group Objectives:

During the first meeting we will discuss what activities we can engage in as a group: tutorials, scientific discussions and tool exploration. We welcome participants from any domain across campus. We plan on having biweekly meetings during the quarter. A hackathon will also be held in the beginning of Winter Quarter for participants and collaborators to spend some focused time working on projects together.

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Here you can find some useful resources.