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 ;) 

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

Jobs - Mapscaping.com

Some more episodes you might enjoy

ESRI, GIS careers, Geospatial Data Science 

QGIS, Geospatial Python, ArcGIS Pro

Google Maps, Geomatics, Cartography

Location Intelligence, Mapping