RyuLab@SNU
@ryuyr77
Ecological Sensing AI Lab by Youngryel Ryu (@snucals1 @SNUnow). Vision: A sustainable world where ecological information is available and accessible to anyone
New lab paper by @WonseokFromESL 💐 Many assume🛰️reflectance is true. We thoroughly evaluated #Sentinel2 reflectance on a rice paddy and found that adjacency effects, broadened point spread functions, atmospheric corrections, and geolocation errors all contributed measurable…
Street trees do more than just look nice—they store carbon too! A team at SNU, led by Prof. Youngryel Ryu, has created a way to spot and measure the carbon held by each tree using a camera and LiDAR system mounted on a car. It’s a big step toward greener, smarter cities.…
Excited to anounce our new AGU session B075 on🛰️🌱Remote Sensing of Terrestrial Ecosystems. If you use remote sensing to understand how ecosystems function, change, or can be managed better—this session is for you! Submit your abstract by July 30! 🔗 agu.confex.com/agu/agu25/prel…
✈️🇦🇺 + 📚 = Prep for #FLUXNET2025! Co-leading the 'Remote Sensing/Upscaling' breakout session (11am Thursday, 10th July) with @ryuyr77 & @Jacobnelson18. So much great science to be discussed next week! #CarbonCycle #EarthObservation
Colin Prentice & Sandy Harrison are at @esa #LPS25 in Vienna. Tomorrow am, in session A 02.08, Sandy presents 'An Eco-Evolutionary Optimality approach to modelling wildfires'-work led by Olivia Haas. 📄abstract here :lps25.esa.int/programme/prog…
🌍 Just out in @NatureGeosci. Jet stream Rossby-wave patterns are linked to weather extremes that can impact vegetation productivity across the northern hemisphere. Implications for carbon uptake under climate change. @PierreGentine @LJiangong @XuLian_PKU nature.com/articles/s4156…
Announcement of the 3rd GEO Workshop from Aug 1 to 2 in Singapore ! Over this 1.5-day workshop, we’ll focus on discussions around the processing, production, validation, and application of various GEO satellites. Registration by July 12 via forms.gle/9nStvJWm3BP9ji…
🌲Out today in Science! We show that thermal acclimation of stem respiration could significantly reduce future forest carbon losses under climate change. A weaker carbon-climate feedback than expected? 🔗 research.reading.ac.uk/lemontree/ther…
It's always rewarding to look back and cherish the places, feelings, colleagues, and friends from @HyperSensLab @UniMelb. In a world without distances, presence still matters. Thank you all for your big smiles and the wonderful memories from our amazing remote sensing group.
#AMS2025 hosted a special session for Dr. Dennis Baldocchi We had a great time discussing science, sharing interesting stories, and exchanging ideas, and looking ahead. Thank you, Dennis. We will carry forward your spirit: “We don’t do science to be famous or win awards, but to…
Enjoyed the hospitality and great atmosphere with former and new colleagues at the International Symposium on Smart Agriculture Technology in Nanjing, China, presenting @IAS_CSIC & @UniMelb work on the dynamics of hyperspectral traits for crop stress detection.
Really nice catch up @ryuyr77 Look forward to our collaboration.
Really enjoyed the discussion and meeting new people, particularly students. Amazed with exciting topics across carbon cycle, crop, forest, urban, remote sensing, health. Very much look forward to further collaboration 🤝 Jin Wu, Bin Chen @LaibaoL @HKUniversity Xiaolin Zhu…
Inspired by great scientists and better persons.
Very glad to meet Jing Chen and @ZarcoTejada #RSE
cannot overstate how amazing @NOAASatellites are. In our new paper in RSE, Danielle Losos & team demonstrate an approach to use GOES-R, ML, and @AmeriFlux and @NEONInc eddy covariance data to estimate ecosystem carbon dioxide uptake in near-real time sciencedirect.com/science/articl…
Our former postdoc, @XingLi_rs, visited us and gave a seminar on his recent scientific adventures with his research group at Sun Yat-sen University. His group is fundamentally advancing our understanding of diurnal variations in photosynthesis and sun-induced chlorophyll…
Wanna learn how to partition CO2 fluxes using ML and SIF? 🌱🤖 Come join me on April 8 - it's a talk ➕ a hands-on coding session!
Don't miss this exciting Workshop to learn on Partitioning CO2 Fluxes Our invited speaker is Weiwei Zhan from Columbia University. The workshop focuses on sciencedirect.com/science/articl…? Date: Tuesday, April 8, 2025 Time: 1 PM EST Register for this webinar: lbnl.zoom.us/meeting/regist…
A gap-filled and partitioned eddy covariance flux dataset for 34 sites across Northwest China is now publicly available online. Our data paper, led by Xufeng Wang, just came out in Earth System Science Data. essd.copernicus.org/articles/17/13…