The Machine Learning for Earth Observation Conference is looking for submissions from researchers investigating topics in remote sensing, data science and AI techniques.
Head to ml4eo.org for more info
🧪🖥️🌐 @idsaiexeter.bsky.social @gsiexeter.bsky.social
The Machine Learning for Earth Observation Conference is looking for submissions from researchers investigating topics in remote sensing, data science and AI techniques.
Head to ml4eo.org for more info
🧪🖥️🌐 @idsaiexeter.bsky.social @gsiexeter.bsky.social
Whether you’re from academia, the public sector, or industry, ML4EO is an opportunity to reflect on RS and identify the most promising directions for future innovation.
Registration is now open: ml4eo.org
Whether you’re from academia, the public sector, or industry, ML4EO is an opportunity to reflect on RS and identify the most promising directions for future innovation.
Registration is now open: ml4eo.org
We found Sentinel-2 + Random Forest can match PlanetScope and deep learning methods for canopy height predictions in tropical forests - making monitoring more accessible!
Thanks to my co-authors Andy Cunliffe (@tess-lab.org) & Hugh Graham.
Read here: www.tandfonline.com/doi/full/10....
We found Sentinel-2 + Random Forest can match PlanetScope and deep learning methods for canopy height predictions in tropical forests - making monitoring more accessible!
Thanks to my co-authors Andy Cunliffe (@tess-lab.org) & Hugh Graham.
Read here: www.tandfonline.com/doi/full/10....
This research wouldn’t be possible without habitat data compiled at ground level, so a huge thanks to Bradford Estates for their contributions & RSK for conducting the field surveys
www.fenews.co.uk/education/br...
This research wouldn’t be possible without habitat data compiled at ground level, so a huge thanks to Bradford Estates for their contributions & RSK for conducting the field surveys
www.fenews.co.uk/education/br...