How can we, humans, look at our relationship to nature differently? In season three of Going Wild, on top of stories about animals, we invite you to journey through the entire ecological web — from the tiniest of life forms to apex predators — alongside the scientists, activists and adventurers who study it. Wildlife biologist and host Dr. Rae Wynn-Grant has been studying wild animals in their natural habitats all over the world for years. Our award-winning podcast takes you inside the hidde ...
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Content provided by MapScaping. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by MapScaping or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ro.player.fm/legal.
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The MapScaping Podcast - GIS, Geospatial, Remote Sensing, earth observation and digital geography
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Computer Vision and GeoAI
Manage episode 361736945 series 2502116
Content provided by MapScaping. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by MapScaping or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ro.player.fm/legal.
Computer vision is a field of artificial intelligence (AI) that enables computers and systems to derive meaningful information from digital images.
You might think that this is exactly what we are doing in earth observation but there are a few important differences between computer vision and what some people refer to as GeoAI.
This week Jordi inglada is going to help you understand what those differences are and why it's not always possible to use Computer vision techniques in the field of Remote Sensing.
Listen out for these key points during the conversation!
- Why plausible or realistic data is not always a substitute for actual measurements, except when it is ;)
- In computer vision we can learn from the data, in earth observation we know the physics
- To do interesting work in data science you need to - Computer science, applied math, and domain expertise. You don’t need to be an expert in all three but you need to be interested in all three
- Vectors in the machine learning world don’t necessarily have anything to do with points lines and polygons ;)
Sponsored by Sinergise, as part of Copernicus Data Space Ecosystem knowledge sharing. dataspace.copernicus.eu/ http://dataspace.copernicus.eu/
Related Podcast Episodes
Super Resolution
https://mapscaping.com/podcast/super-resolution-smarter-upsampling/
Fake Satellite Imagery
https://mapscaping.com/podcast/fake-satellite-imagery/
Sentinal Hub
https://mapscaping.com/podcast/sentinel-hub/
Google Earth Engine
https://mapscaping.com/podcast/introducing-google-earth-engine/
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https://mapscaping.com/podcast/the-planetary-computer/
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Computer Vision and GeoAI
The MapScaping Podcast - GIS, Geospatial, Remote Sensing, earth observation and digital geography
Distribuie
Manage episode 361736945 series 2502116
Content provided by MapScaping. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by MapScaping or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ro.player.fm/legal.
Computer vision is a field of artificial intelligence (AI) that enables computers and systems to derive meaningful information from digital images.
You might think that this is exactly what we are doing in earth observation but there are a few important differences between computer vision and what some people refer to as GeoAI.
This week Jordi inglada is going to help you understand what those differences are and why it's not always possible to use Computer vision techniques in the field of Remote Sensing.
Listen out for these key points during the conversation!
- Why plausible or realistic data is not always a substitute for actual measurements, except when it is ;)
- In computer vision we can learn from the data, in earth observation we know the physics
- To do interesting work in data science you need to - Computer science, applied math, and domain expertise. You don’t need to be an expert in all three but you need to be interested in all three
- Vectors in the machine learning world don’t necessarily have anything to do with points lines and polygons ;)
Sponsored by Sinergise, as part of Copernicus Data Space Ecosystem knowledge sharing. dataspace.copernicus.eu/ http://dataspace.copernicus.eu/
Related Podcast Episodes
Super Resolution
https://mapscaping.com/podcast/super-resolution-smarter-upsampling/
Fake Satellite Imagery
https://mapscaping.com/podcast/fake-satellite-imagery/
Sentinal Hub
https://mapscaping.com/podcast/sentinel-hub/
Google Earth Engine
https://mapscaping.com/podcast/introducing-google-earth-engine/
Microsofts Planetary Computer
https://mapscaping.com/podcast/the-planetary-computer/
BTW MapScaping has started a Job Board!
it's in the early stages but it's live
Some more episodes you might enjoy
ESRI, GIS careers, Geospatial Data Science
QGIS, Geospatial Python, ArcGIS Pro
237 episoade
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Similar cu The MapScaping Podcast - GIS, Geospatial, Remote Sensing, earth observation and digital geography
How can we, humans, look at our relationship to nature differently? In season three of Going Wild, on top of stories about animals, we invite you to journey through the entire ecological web — from the tiniest of life forms to apex predators — alongside the scientists, activists and adventurers who study it. Wildlife biologist and host Dr. Rae Wynn-Grant has been studying wild animals in their natural habitats all over the world for years. Our award-winning podcast takes you inside the hidde ...
…
continue reading
Get in-depth coverage of current and future trends in technology, and how they are shaping business, entertainment, communications, science, politics, and society.
…
continue reading
Flash Forward is a show about possible (and not so possible) future scenarios. What would the warranty on a sex robot look like? How would diplomacy work if we couldn’t lie? Could there ever be a fecal transplant black market? (Complicated, it wouldn’t, and yes, respectively, in case you’re curious.) Hosted and produced by award winning science journalist Rose Eveleth, each episode combines audio drama and journalism to go deep on potential tomorrows, and uncovers what those futures might re ...
…
continue reading
The Science Show gives Australians unique insights into the latest scientific research and debate, from the physics of cricket to prime ministerial biorhythms.
…
continue reading
Whether the topic is popcorn or particle physics, you can count on BrainStuff to explore -- and explain -- the everyday science in the world around us.
…
continue reading
Artificial Intelligence has suddenly gone from the fringes of science to being everywhere. So how did we get here? And where's this all heading? In this new series of Science Friction, we're finding out.
…
continue reading
I discuss a variety of topics in both the natural and social sciences, exploring the many fascinating insights that the scientific method yields about the world around us.
…
continue reading
A myriad of AI, science, and technology experts explore the real challenges and enormous opportunities facing entrepreneurs who are building the future of health. Raising Health, a podcast by a16z Bio + Health and hosted by Kris Tatiossian and Olivia Webb, dives deep into the heart of biotechnology and healthcare innovation. Join veteran company builders, operators, and investors Vijay Pande, Julie Yoo, Vineeta Agarwala, and Jorge Conde, along with distinguished guests like Mark Cuban, Greg ...
…
continue reading
A fun-filled discussion of the big, mind-blowing, unanswered questions about the Universe. In each episode, Daniel Whiteson (a Physicist who works at CERN) and Jorge Cham (a popular online cartoonist) discuss some of the simple but profound questions that people have been wondering about for thousands of years, explaining the science in a fun, shorts-wearing and jargon-free way.
…
continue reading
The kickass science and technology radio show that delivers an irreverent look at the week in science and technology.
…
continue reading
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