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Artwork for Satellite image deep learning

Satellite image deep learning

Robin Cole
Machine Learning
Satellite Imagery
Methane Detection
Satellite Imaging
Cloud Masking
Deep Learning
TROPOMI
Remote Sensing
Microsoft AI For Good Lab
Building Damage Assessment Toolkit
Python
Chat2geo
Solar Panels
Torchgeo
Instageo
Sentinel-5b
Icecloudnet
Geospatial Analysis
Openstreetmap
Disaster Response

Dive into the world of deep learning for satellite images with your host, Robin Cole. Robin meets with experts in the field to discuss their research, products, and careers in the space of satellite image deep learning. Stay up to date on the latest trends and advancements in the industry - whether you’re an expert in the field or just starting to learn about satellite image deep learning, this a ... more

PublishesWeeklyEpisodes38Founded3 years ago
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ScienceTechnology

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Artwork for Satellite image deep learning

Latest Episodes

In this episode I caught up with Roberto del Prete to learn about his work on AutoML for in-orbit model deployment, and how it enables satellites to run highly efficient AI models under severe power and hardware constraints. Roberto explains why trad... more

In this episode I caught up with Julia Wąsala to learn about methane plume detection using AutoML, and how her research bridges atmospheric science and machine learning. Julia explains the unique challenges of working with TROPOMI data—extremely coar... more

In this episode, I caught up with Ibrahim Salihu Yusuf from InstaDeep’s AI for Social Good team to hear the story behind InstaGeo, an open-source geospatial machine learning framework built to make multispectral satellite data easy to use for real-wo... more

In this episode, Roberto from ESA’s Φ-lab in Frascati introduces PhiDown, a community-driven open-source tool designed to simplify data access from the Copernicus Data Space Ecosystem (CDSE). He explains why PhiDown was created, how it uses the high-... more

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Recent Guests

Adam Stewart
Postdoctoral researcher at the Technical University of Munich and author of TorchGeo
Technical University of Munich
Episode: TorchGeo 1.0 with Adam Stewart
Shahab Jozdani
Founder at GeoRetina with a focus on remote sensing and AI
GeoRetina
Episode: Chat2Geo and the Power of LLMs
Kai Jeggle
PhD candidate focusing on machine learning applications in climate science
ETH Zurich
Episode: IceCloudNet and the PhD Journey
Daniele Rege Cambrin
Organizer of the SMAC Earthquake Detection Challenge
Episode: Insights from the SMAC earthquake detection challenge
Giorgio Morales
Winner of the SMAC Earthquake Detection Challenge
Episode: Insights from the SMAC earthquake detection challenge
Caleb Robinson
Principal Research Scientist at Microsoft on the AI for Good team
Microsoft
Episode: Building Damage Assessment

Host

Robin Cole
Host discussions with experts in the field surrounding their research, products, and careers in satellite image deep learning, sharing insights into advancements in the industry.

Chart Rankings

How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.

Apple Podcasts
#210
New Zealand/Technology
Apple Podcasts
#246
Indonesia/Technology

Talking Points

Recent interactions between the hosts and their guests.

Chained Models for High-Res Aerial Solar Fault Detection
Q: Is there a way to benchmark your product against a fully human-based approach?
Currently, we haven't done a fully comprehensive comparison between human and AI analysis, but we've seen improvements in turnaround time for human-reviewed processes.
Chained Models for High-Res Aerial Solar Fault Detection
Q: What role will humans play in maintaining and building on these systems?
Humans will always be involved to ensure high precision and recall in anomaly detection.
Chained Models for High-Res Aerial Solar Fault Detection
Q: Why did you choose to use object detection for this project?
It became clear that treating this as a standard object detection problem was the most scalable solution after trying different approaches.
AutoML for Spaceborne AI
Q: What hardware do you work with for these AI models?
Roberto discusses using various devices like Nvidia Jetson chipsets, MediaTek from Intel, and boards developed by Bautica and KP Labs for processing models on satellites.
AutoML for Spaceborne AI
Q: How do you achieve the best performance with minimal power consumption?
It involves customizing models for specific tasks like wildfire detection and finding the right trade-off between accuracy and power usage to extend the lifetime of the satellite's mission.

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Frequently Asked Questions About Satellite image deep learning

What is Satellite image deep learning about and what kind of topics does it cover?

The podcast engages listeners with deep discussions about advancements in deep learning as it relates to satellite imagery. It features experts from academia and industry who share insights into their research, innovative applications, and the latest trends in utilizing artificial intelligence for satellite image processing. Noteworthy topics include machine learning optimization, AI for social good initiatives, and practical applications like methane plume detection and building damage assessments. This engaging platform is suitable for both seasoned professionals and newcomers to the field, offering a comprehensive view of current challenges and innovations in satellite image deep learning.

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1. Foro de Teresina
2. O Assunto

How many episodes of Satellite image deep learning are there?

Satellite image deep learning launched 3 years ago and published 38 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

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What guests have appeared on Satellite image deep learning?

Recent guests on Satellite image deep learning include:

1. Adam Stewart
2. Shahab Jozdani
3. Kai Jeggle
4. Daniele Rege Cambrin
5. Giorgio Morales
6. Caleb Robinson

To view more recent guests and their details, simply upgrade your Rephonic account. You'll also get access to a typical guest profile to help you decide if the show is worth pitching.

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