Schumacher et al 2020 読了。 任意の森林の林齢を推定した研究。結論としては地位指数が最も重要な説明変数ということだが、そもそも地位指数の計算に林齢を必要とするから、因果関係が逆転している気がする。こういうのって因果推論とか使って考えた方がいいのかな#paper https://t.co/iBT30MTxjz
RT @joh_schum: 📢 Paper published: Age of 🌲#forest stands in 🇳🇴 can be mapped using #remotesensing 🛰️ data and site index maps. Open access:…
RT @joh_schum: 📢 Paper published: Age of 🌲#forest stands in 🇳🇴 can be mapped using #remotesensing 🛰️ data and site index maps. Open access:…
RT @Jo_Breidenbach: Well done by 🇳🇴 @nfi100🌲researcher @joh_schum! We have now improved site index maps (soon available in #SR16) that are…
Well done by 🇳🇴 @nfi100🌲researcher @joh_schum! We have now improved site index maps (soon available in #SR16) that are essential for further improving forest age maps.
RT @joh_schum: 📢 Paper published: Age of 🌲#forest stands in 🇳🇴 can be mapped using #remotesensing 🛰️ data and site index maps. Open access:…
RT @joh_schum: 📢 Paper published: Age of 🌲#forest stands in 🇳🇴 can be mapped using #remotesensing 🛰️ data and site index maps. Open access:…
Great work @joh_schum et al. ! Age is a difficult parameter to map.
RT @stefanopuliti: 🎉 Bravo @joh_schum on this new paper on mapping forest 🌲 age ⏳. It's very exciting to be part of such a vibrant #researc…
🎉 Bravo @joh_schum on this new paper on mapping forest 🌲 age ⏳. It's very exciting to be part of such a vibrant #research environment @nfi100 @SmartForest_SFI @NIBIO_no
RT @joh_schum: 📢 Paper published: Age of 🌲#forest stands in 🇳🇴 can be mapped using #remotesensing 🛰️ data and site index maps. Open access:…
📢 Paper published: Age of 🌲#forest stands in 🇳🇴 can be mapped using #remotesensing 🛰️ data and site index maps. Open access: https://t.co/EZ3iVqsDb2 @Jo_Breidenbach @astrup_rasmus @nfi100 https://t.co/xvnfcooXgW