NFI100

Kollegaer avdekket feil i Nature artikkel bit.ly/3hrPoIi @Jo_Breidenbach @UniNMBU @NIBIO_no

Great contribution by our team member @Jo_Breidenbach on best practices to monitor forest harvested area! Congrats Johannes and the rest of the team 🎉

If you are building an #opensource single tree #forest 🌲 simulator, you should check this out authors.elsevier.com/sd/article/S23… We have just published our forest similator framework #SiTree, open-source and fully written in #R! The software is available at cran.r-project.org/web/packages/s…

📢Join our team! We're hiring a permanent researcher with focus on modelling forest attributes relevant to managing forest fire risk using remote sensing data. Apply here: jobbnorge.no/en/available-j… @NIBIO_no @nfi100

1/3 A new study describing the properties of Norway’s NFI forest resource map #SR16 based on airborne laser scanning has recently been published: doi.org/10.1186/s40663… Main points: Predicted-R2: Volume=0.86, Height=0.92, Basal area=0.82, Biomass=0.84

En oppdatert produktbeskrivelse for 🌲🌳Skogressurskart #SR16 som inkluderer 18 ulike skogegenskaper samt usikkerhet er nå tilgjengelig: nibio.no/tema/skog/kart… @NIBIO @NFI100

Thank you all for a great event!

📣Check out our new preprint on ‘mapping of wheel ruts in harvested forest using #deeplearning techniques & #drone imagery’⚙️🪵🚁 doi.org/10.5281/zenodo… @Jo_Breidenbach @stefanopuliti @astrup_rasmus @BruceTalbot_ZA #ResNet #UNet #CNN #wheelrut #NeuralNetwork #AI #automation

Göran Ståhl @_SLU ”Vi som tar fram officiell statistik upplever att en tydlig gräns passeras när man i debatten lättvindigt viftar bort den officiella statistiken till förmån för egna tolkningar eller resultat från enskilda forskningsprojekt.” slu.se/institutioner/…

📢Check out our new paper! 🌲🛩️ 📑doi.org/10.1007/s13595… 🗺️NFI-based maps can be similar accurate as traditional #lidar forest management inventories for timber volume estimation. #forestinventory #SR16 @Jo_Breidenbach @astrup_rasmus @AnnForSci

Save the date 📆 and sign up ✍️to attend the @ForestMistra program conference and hear about the ongoing revolution in the #digitalization of forestry happening in 🇳🇴@SmartForest_SFI , 🇫🇮 @UNITEflagship , 🇸🇪 @ForestMistra, and 🇨🇦 @FPInnovations #Forestry40

100 years of National Forest Inventories in Finland in the core of a side event at UN's Forest Forum on Wednesday this week, remote participation for free, register to the event! mmm.fi/en/unff16-side… @LukeFinlandInt @KariTKorhonen @mmm_fi #Flagship

Welcome to @ForestMistra Program Conference May 20! #digitalforestevent Sign up: ui.ungpd.com/Events/e5c58a3… @SverkerDaniels1 @Skogsindustrin @umeauniversitet @_SLU @ErikWilln @Skogforsk @astrup_rasmus @SmartForest_SFI @juha_hyyppa @UNITEflagship @FPInnovations @MistraForskning

The Oslo UN-students invite to a seminar on 🌲🌳deforestation (in English). I'm looking forward to share some slides about deforestation in Norway. Thursday 17.00 CET: uio.zoom.us/s/62111135384. More info: fb.me/e/6G5aFaTev. @NIBIO_no @nfi100

@SamuliJunttila In Norway we produce it too and the data are accessible through nibio.no/tema/skog/kart…

📢New paper accepted @cdnsciencepub #CanJForRes: Improving🌲GHG inventories using @globalforests #GFW and NFI field data. Efficiency improved up to a factor of 3 when using one-time airborne lidar in addition doi.org/10.1139/cjfr-2…. OA preprint: arxiv.org/abs/2012.07921 @NIBIO_no

📢Short notice: INVENT final seminar Thursday 3 Dec: Improving C-stock change estimates in LULUCF-GHG inventories using field and remotely-sensed data following @IPCC_CH standards. Program: nibio.pameldingssystem.no/final-invent-w…. Registration: nibio.pameldingssystem.no/final-invent-w… @NIBIO_no @_SLU

Distribution of tree species as contour lines in Viken, Norway. Map created using open SR16 data from @NIBIO_no and open data from @kartverket. #30DayMapChallenge #ggplot2

Paper accepted: Mapping and estimating 🌲, pine, and 🌳forest for all of #Norway using @nfi100 and @ESA_EO #sentinel2 data. All details: doi.org/10.1139/cjfr-2…. Map freely available: bit.ly/30VyLNQ @MapsNorway Thanks to @NIBIO_no @stefanopuliti @joh_schum @JohannesRahlf

New work by @nfi100 members empowered by the our #NFI repeated plot measurements, thanks to which we can calibrate direct biomass change models and ensure umbiased estimates.