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This year at IGARSS, we’re excited to participate in several sessions, including the Remote Sensing Summer School happening just ahead of the main conference. Here’s where you’ll find us, plus some of the sessions we’re most excited about. If you’ll be there too, we’d love to connect.

Remote Sensing Summer School

The IEEE GRSS Remote Sensing Summer School allows students and young professionals to gain important hands-on skills for working in remote sensing. Machine Learning Engineer Ryan Avery, a certified Carpentries instructor, alongside Cloud Engineer Chuck Daniels, will teach the first course of the Summer School, Introduction to Geospatial Raster and Vector Data with Python. This workshop will teach skills to query, analyze, and visualize geospatial raster and vector data, working with real-world remote sensing datasets in a Jupyter Notebook environment. Topics include spatial data structures and coordinate reference systems, and introduce students to geospatial libraries like pystac-client, rioxarray, and geopandas to access and process large datasets in the cloud.

Our Talks

Machine Learning Engineer Lilly Thomas will be presenting her work from our partnership with NASA IMPACT using supervised semantic segmentation leveraging a convolutional neural network architecture to train a model with labels from NASA Operation IceBridge to predict supraglacial lake occurrences in high temporal resolution PlanetScope imagery. Thursday, 20 July, 8:30 (Pacific time).

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In addition to the Remote Sensing Summer School, you'll find Machine Learning Engineer Ryan Avery at the Open Science in Action session, Wednesday, 19 July 15:45 (Pacific time) where he will talk about cloud-native data systems designed for open science, and discuss data formats, supportive libraries, and data catalogs, aimed at improving access, cost-efficiency, and discovery of remote sensing and geospatial data archives.

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See you there

IGARSS is not only a great place for us to share our work, it's where we can connect with partners and learn from others doing exciting and inspiring work.

We're looking forward to sessions on cloud-based platform environments, earth observation dashboards, geo-storytelling, and open innovation for earth observation science.

If you are at IGARSS and would like to connect, please send Ryan or Lilly a message.

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