Daniel Kükenbrink

35 posts

Daniel Kükenbrink

Daniel Kükenbrink

@daniel_kuken

Katılım Şubat 2015
101 Takip Edilen154 Takipçiler
Arunima Singh
Arunima Singh@Arunima26728187·
"PhD journey complete—hard work, perseverance, and countless memories. It’s done!"👩‍🎓
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3DGeo Research Group Heidelberg
📢New paper out! From forest stand information to laser scanning #pointcloud without a real scanner? 📰Read our new paper on generating synthetic laser scanning data of forests, led by @JannikaSchafer @KIT_IfGG_Veg @geogemgis @BernhardHofle @FabianFassnach1 #syssifoss
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Jannika Schafer@JannikaSchafer

Do you need large datasets of forest stand information and corresponding ALS data? Read our new paper! We make use of the #pytreedb tree point cloud database and the #HELIOS++ laser scanning simulator to generate realistic laser scanning data of forests. doi.org/10.1093/forest…

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Kim Calders
Kim Calders@kimcalders·
Join our team as a postdoctoral fellow (3yr position)! You will work on multi-temporal laser scanning to quantify forest dynamics and their impact on microclimate. Newly funded project with @corneliussenf. Info: bit.ly/3Z4jGV2 Apply by 21/04: forms.gle/t2PpAQChfi4Ada…
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Kim Calders
Kim Calders@kimcalders·
After more than five years of work: our new publication on how to almost double woodland carbon overnight; or, when models work a bit too well. Full paper: bit.ly/3uXiG8D [1/10]
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3DForEcoTech
3DForEcoTech@3DForEcoTech·
This group in FGI studies spatiotemporal phenomena in forest structure on seasonal, weekly, and daily scales with self-developed permanent laser scanning station - FGI LiPhe. Watch Eetu Puttonen presentation on youtube and subscribe to our channel youtu.be/3Orjrvi72EI 👈
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Daniel Kükenbrink
Daniel Kükenbrink@daniel_kuken·
The use of a low-cost @GoPro action camera to extract a 3D point cloud shows promising results. Delivering very detailed 3D information of the lower 5 m of the canopy. However, data acquisition can be a challange.
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Daniel Kükenbrink
Daniel Kükenbrink@daniel_kuken·
#TLS is still the gold standard. However, data acquisition time can be a limiting factor for an operational inclusion in a #NFI. Handheld LiDAR devices (e.g. @GeoSLAMLtd ZebRevo) show high potential with a good compromise between accuracy and acquisition time
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Isabelle Helfenstein
Isabelle Helfenstein@ihelfe·
Happy to be a part of today's #Biodiversity session at #ForestSAT2022 in Berlin (and online) from 2:30-4:00pm. Visit my presentation on trait-based functional diversity in temperate forests using Sentinel-2 in JK 28/112 (Small Room). 🛰️🌲🌳
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