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With his background in remote sensing and forestry, Jaime Candles Bielza works on his PhD topic within SmartForest4.0 WP1, Forest Information 👉Enhanced forest inventory information for operational planning. more on SmartForest smartforest.no @UniNMBU @NIBIO_no

Thank you for making conference streaming available @Silvilaser23 Hi from my lab at Queen's Department of Geography and Planning 👋 Great talks so far! Looking forward to participating in the prerecorded session tomorrow.

Thanks to @Silvilaser23 for a enlightening week at London! There were great talks from amazing researchers coming from all over the world to talk about #forestry and #remotesensing . I take home a lot of things to think about and this fantastic 3D point representation of me.

Thanks for attending my presentation!😁

Just published! This study on predicting tree species proportions using remotely sensed data will help advance automatic methods in forest management, saving time and costs. Thanks to all collaborators! Paper: doi.org/10.1016/j.srs.… 🌲🛰 SmartForest4.0 SkogRover @UniNMBU

👩‍🎓Congratulations to Dr. Jaime Candelas Bielza on a successful defense of his thesis on tree species composition prediction using remote sensing". Thanks to opponents Joanne White and Lauri Korhonen, and supervisors Hans Ole Ørka, Lennart Noordermeer & Erik Næsset.

I’m proud to share that I have successfully defended my PhD. This is the second PhD completed within the SmartForest4.0 project. Thanks to my supervisors, the committee, my SkogRover colleagues, and everyone who supported me!