For in-depth details & codes, dive into our Github: github.com/SmartForest-no…. Proud to advance #forestry research with SmartForest4.0! 🍃 Endre Hansen

🎉 congrats to Dr. Xiang for successfully defending her PhD and making a substantial contribution to the SOTA in deep learning tree segmentation using laser scanning data, it’s becoming a reality! Great collaboration between NIBIO SmartForest4.0 and ETH Zurich! #FORinstance

📢 We are #hiring a #postdoc in SmartForest4.0! Are you interested in 👉#Traceability in the #forest value chain? Join us NIBIO and apply by 📆 January 31st jobbnorge.no/en/available-j…

🎯New publication from MistraDigitalForest and SmartForest4.0 on Why ecosystem characteristics predicted from remotely sensed data are unbiased and biased at the same time – and how this affects applications read the article tinyurl.com/3dmz92ah SLU NMBU USDA Forest Service

📢 Job Alert! Open #postdoc position SmartForest4.0 NIBIO in Ås, #Norway Great opportunity to work in a great team on #treaceability in the #forest value chain Join us! 📆 Apply by February 14th apply here 👉 tinyurl.com/3f7jtfuk

2 research articles from SmartForest4.0 are featured in this issue! 🛰 Improvements of site index determination with ASL data by detecting and excluding disturbed forest areas! 🛰 Deep learning, and AI for tree height-growth estimation on drone data! NMBU NIBIO

Fantastic to host MistraDigitalForest at our SmartForest4.0 lab at NIBIO in Ås last week! A great meeting on past and future collaborations! #AI, #robotics, #forestmanagement, #presisionforestry, #forestry, #digitalization

🎯💥Last year was busy for 💡 🌲 SmartForest! We are excited to spotlight some of our #innovations for our mission to revolutionize #forestry through #enabling technologies! read more here: 👉tinyurl.com/2rfe2sks NIBIO NMBU #AI #deeplearning #forestroads #drones

📢Join us for our 💡🌲SmartForest open #seminar on #deeplearning and #ArtificialIntelligence in #forestry 📆March 21, 12.00-13.00 CET follow the link to register and get the link 👉nibio.pameldingssystem.no/ai-in-forestry…

We recently had an online seminar on #DeepLearning and #AI in #Forestry The recording is now available! NIBIO #forest #drone #lidar #pointcloud #forestsens

🤔Is image matching as good as airborne #laserscanning (ALS)? We wanted to know and tested 5 different software tools for #imagematching. read here 👉 tinyurl.com/35j2fd3y NMBU NIBIO Kartverket Hans Ole Ørka #forests #pointclouds #remotesensing

🇸🇪 MistraDigitalForest , 🇫🇮 UNITE Flagship and 🇳🇴 SmartForest4.0 moderated session T5.10 on Digitalization for sustainable forest management under the IUFRO World Congress, Theme 5: Forests for Future. 🌲🌳🛰️🚁 the program 👉tinyurl.com/76fvw9jz 📸 Stefano Puliti 🌲🚁🛰️ NIBIO

📢 Open postdoc position within SmartForest4.0 at NIBIO The topic 👉#AI for #traceability and #wood quality! The deadline 📅 11.08.2024 More information tinyurl.com/4x5357ud More on SmartForest smartforest.no #forestry #forestmanagement #lidar #pointclouds

📢 A new literature review was just published within SmartForest4.0 comparing #machine_learning and Image processing techniques used for scaling and #grading of #wood #logs. 👉mdpi.com/1999-4907/15/7… NMBU #AI #deeplearning #computervision Forests

📢We proudly present Helle Ross Gobakken and her PHD on Forest Road attributes and network demands the goals 👉efficient forest road management 👉accessibility for forest operations and #timber transport info👉tinyurl.com/3uabxnw7 NIBIO NMBU #sensors #Geometry

📢APLICATION DEADLINE AUGUST 11 #postdoc #AI for #traceability and wood quality !!!! Don't forget to apply !!!! 👉jobbnorge.no/en/available-j… NIBIO SmartForest4.0 #AI #lidar #sensors #ComputerVision #Norway #photogrammetry #phyton

📢 Congratulations to the authors Jaime Candelas Bielza Johannes Breidenbach Hans Ole Ørka Lennart Noordermeer, Erik Næsset and Terje Gobakken on the new SmartForest4.0 article NMBU NIBIO SkogRover #Sentinel2 #airborne #laserscanning #forestry #forestinventory #aerialimages

📢 Excited to announce the release of #FORspecies20K, a new dataset 🚀of 20,000+ trees across 33 species 🤯for benchmarking tree species classification using point clouds from TLS, MLS, and ULS! 🌲🌳 A game-changer for automated #AI forest analysis. see 🧵👇 for the links