Nicola Puletti

Remote sensing 🛰️ | terrestrial laser scanning | forestry 🌲🌳 🇮🇹

[Nicola Puletti @npuletti]

Excited to say that {ForIT} v2.1.0 is now available on #CRAN 📦
https://t.co/4y3X0HgOtv

Paper freely available here:
https://t.co/aeItZGmnC3

#RStats
#NationalForestInventory
#Agridigit
#DigitalTransition #DigitalTransformation
#OpenData

[Remote Sensing MDPI @RemoteSens_MDPI]

🌳🌳 A Semi-Automatic Approach for #Tree #Crown Competition Indices Assessment from #UAV #LiDAR

✍️ Nicola Puletti et al.
🔗 https://t.co/g6GewS5k2q

[Nicola Puletti @npuletti]

@DavideR46325615 Ma è lo stesso @GiuseppeConteIT che poi va ad Atreju a dire "non col PD"?

[Nicola Puletti @npuletti]

@chetempochefa Si può dare di più anche alla data di uscita della canzone
#sanremo

[Nicola Puletti @npuletti]

@Fantaculo_it Schierato

[Martin Mokros 🌳 📷 🇸🇰 🇬🇧 @m_mokros]

🚨 PhD Opportunity
Shape the future of precision forestry!
Join an exciting project integrating mobile laser scanning & AI to revolutionise forest management.
@ucl + @QMUL+ @Forest_Research
Within @NERC_TREES_DLA

Apply now! 🌳👉 https://t.co/YKTLPxT8m9

#lidar #Forestry #AI

[Selçuk Korkmaz @selcukorkmaz]

The development version is on GitHub: https://t.co/QO7yVSzHxB

[Petra Ďuriančíková @PetraDuriancik]

For today's #30DayMapChallenge, I wanted to share https://t.co/sNCpWmgJdM - interactive world history atlas.
I contributed to the cartography design and it became my favourite map I did this year. Travel back in time, see kingdoms rise & fall or discover sites of famous battles.

[HOW THINGS WORK @HowThingsWork_]

Bravo to this drone owner. 👏😂

[Nicola Puletti @npuletti]

@HowThingsWork_ @GU_Hoya2020 Italian male

[Martin Mokros 🌳 📷 🇸🇰 🇬🇧 @m_mokros]

Data call on tree allometries!

We are running the data call focused on the allometries and their updating using terrestrial-based lidar.

Despite these specific data, we already have 28 potential datasets from 20 countries.

Join us!

Info here: https://t.co/C3t7jfvQ78

#forest

[Matt Dancho (Business Science) @mdancho84]

BREAKING NEWS: Hadley Wickham is working on a new R package for AI.

It's leveling the AI playing field with Python.

[Julia Rieder @js_rieder]

Happy that our paper on Tree Competition using our R package TreeCompR got published 🎉 - Check it out here: https://t.co/zX4Zb1NBP5
Try out our package: https://t.co/sKL76Wwf7s

[Nicola Puletti @npuletti]

@CinziaBancone Cambierei banca durante la telefonata

[Nicola Puletti @npuletti]

@FBiasin La Champions così mi fa vomitare

[Nicola Puletti @npuletti]

@climacritic Sennò gli si rovinano i luoghi della vacanza

[Yury Zablotski @yuzaR___]

KRUSKAL-WALLIS in R 💪 in ONE LINE OF CODE

ggstatsplot::ggbetweenstats(ISLR::Wage, education, wage, "np")

Watch the video for details: https://t.co/vj2IzXGAIK

#rstats #statistics #dataanalysis #stats #datascience #r4ds

[Milan Chytrý @MilanChytry]

This article opens a new era of AI-based supervised classification of vegetation and habitat types based on species composition. César Leblanc from the University of Montpellier, with the support of colleagues from Pl@ntNet and EVA (European Vegetation Archive), has developed a classifier for EUNIS habitat types across Europe that seems to classify habitat types better than the logical definitions in the expert system. I was already playing with using artificial intelligence tools to classify vegetation types based on vegetation plots 20 years ago. My student Lenka Černá and I published the first study using artificial neural networks for the supervised classification of vegetation in 2005 (https://t.co/YiuURHr68C). At that time, however, AI tools were still in their infancy, the calculations were time-consuming, there were no continental vegetation databases and no standardized international vegetation or habitat classification. Therefore, we focused on developing logical definitions of vegetation and habitat types, which was completed for the European habitats of the EUNIS system in 2020 ( https://t.co/pivP4SOx6N). In our expert system EUNIS-ESy, we created consistent definitions of habitats across Europe, which paved the way for the application of more flexible AI tools such as those developed under César's leadership.
Open-access article: https://t.co/g4yHh4oVt5
Code on GitHub: https://t.co/wc7BMVCvPu

[SISEF-Selvicoltura ed ecologia forestale @SISEFtweet]

‼️ È online il programma provvisorio del XIV #CongresssoSISEF "𝗙𝗼𝗿𝗲𝘀𝘁𝗲 𝗽𝗲𝗿 𝗶𝗹 𝗙𝘂𝘁𝘂𝗿𝗼", in programma a #Padova dal 9 al 12 settembre! 🌳
🟢 Clicca qui per visualizzarlo 👇
https://t.co/tDkgTLdH7l
🔜 Rimani sintonizzato/a per nuovi aggiornamenti!

[Nicola Puletti @npuletti]

@MartinellaLeo Chi del @CREARicerca avrebbe dato la concessione?

[bioRxiv Ecology @biorxiv_ecology]

Assessing the combined effects of forest management and climate change on carbon and water fluxes in European beech forests https://t.co/bfqOpEkEsQ #biorxiv_ecology