Ziyu LIN(🎤Zee-Yoo)(林子裕)

PhD candidate at @HKUSBS. @GoogleDevExpert for #EarthEngine. temperate forest | carbon cycle | plant ecophysiology 🌲🌳🍃🍂🍁

[Ziyu LIN(🎤Zee-Yoo)(林子裕) @ZiyuLINN]

Just unboxed my package and I’m thrilled to say that I got the plaque for official GDE! Now my pin collection has a perfect home hhh
Thanks @GoogleDevExpert! I had such an amazing year in the #GDE program, and so proud of making contribution to the #GEE community💚💚💚

[Ziyu LIN(🎤Zee-Yoo)(林子裕) @ZiyuLINN]

Proud to be an Earth Engine expert in the Google Developer Experts program! #GoogleDevExpert
https://t.co/Jjy0BP1odT

[Ecography @EcographyJourna]

Improving landscape-scale productivity estimates by integrating trait-based models & remotely-sensed foliar-trait & canopy-structural data
https://t.co/IOcI5JqzZz #climate #remotesensing #biogeography #RStats

[Google AI @GoogleAI]

Introducing the Auto Arborist Dataset, a multiview urban tree classification dataset that consists of ~2.6M trees and >320 genera, which can aid in the development of models for urban forest monitoring. Check it out at → https://t.co/uldYCWuCs3

[Ziyu LIN(🎤Zee-Yoo)(林子裕) @ZiyuLINN]

Fast(er) Downloads by Noel Gorelick https://t.co/Xp68eR4dxu

[Earth Observation Lab @HumboldtEOLab]

Massive new #QGIS plugin: #GEE Timeseries Explorer offers instant access to #EarthEngine image collections! Fetch #Landsat, #Sentinel2, or #MODIS #timeseries for any location and visualize images: https://t.co/MNJwkP0rq5 🧵

[Bjorn Lomborg @BjornLomborg]

Alarmists tell you future climate flooding will cost $55 trillion or 5.3% of GDP — conveniently neglecting adaptation

Assuming real societies that adapt:

Damage will *decrease* from 0.05% to 0.008% of GDP

Read my free peer-reviewed article: https://t.co/kJetO61F8J

[Ujaval Gandhi @spatialthoughts]

I finally managed to finish my most ambitious project to date. Years in the making, I am releasing the full material for my 'End-to-End Google #EarthEngine' course under an open license - allowing anyone to learn, teach and adapt it. Check it out at https://t.co/AE2YHojgfH

[Yan Holtz @R_Graph_Gallery]

👋 After a loooong break (🏚️👶), I'm back on my side projects with a brand new version of the Python Graph Gallery! 🧵
https://t.co/fGXOmTro60

[KSAT @KSAT_Kongsberg]

The recording from last week's Oslo Tropical Forest Forum Webinar presenting the @Climateforest with compelling user stories from @AMPA_Peru and @haka_sumatra is now available through this link. Visualisation tools presented by @planetlabs @globalforests
https://t.co/xZtc6ZxL5l

[Ziyu LIN(🎤Zee-Yoo)(林子裕) @ZiyuLINN]

@annaruefer @WVURockDoc @theAGU Last time I left it for one night and it worked. BUT today it broke again and till now I still can't edit. 😤

[Ziyu LIN(🎤Zee-Yoo)(林子裕) @ZiyuLINN]

@tmiyama OMG, I met the same problem too for several days. Still can't edit. Have you solved it?

[KSAT @KSAT_Kongsberg]

Lets get started! The first mosaics over the tropical forests are now available. 🛰🌎 Together with @planetlabs, @Airbus and @Climateforest we are enabling increased transparency with the goal to stop global #deforestation
https://t.co/RtBVokafG5

[Ziyu LIN(🎤Zee-Yoo)(林子裕) @ZiyuLINN]

@ashish_a_malik @NewPhyt @AnthonyPWalker best carbon cycle concept figure that I've ever seen!! May I ask what software was used to draw this cartoon??

[Neal R Haddaway @nealhaddaway.bsky.social @nealhaddaway]

In this paper in @NatureEcoEvo we outline 8 major problems that can occur with traditional ways of reviewing the literature, and provide concrete advice on how to avoid them: https://t.co/QrGy3jjAuc

This thread outlines our key points! (1/23)
#EvidenceSynthesis #SystematicReview

[Jingfeng Xiao @GlobalEcolUNH]

Remote sensing of the terrestrial carbon cycle: A review of advances over 50 years. Our review is now available in Remote Sensing of Environment. This 37-page article is a comprehensive & critical review of advances in remote sensing of C fluxes & stocks. https://t.co/jmQHGvWKoJ

[Cris🛰️ @cavrinceanu]

When you're bored by academic writing & decide to make a quick draft @googleearth app for the #CaliforniaFires.

App 👉https://t.co/zk0CjHjbYj
Open Code 👉 https://t.co/nHwYETsNy9

Inspired by @NasaEarth post (link in app) & @jstnbraaten awesome code: https://t.co/tggyJsrTsl 👇

[pycoaj @pycoaj]

Visualizing geospatial data with pydeck and Earth Engine | by Google Earth | Google Earth and Earth Engine | Sep, 2020 | Medium https://t.co/ad1755UJlo