New paper led by Shaoyu Wang hashtag #RSE 📢 We developed a deep-learning based GPP model, #GPPnet, which only requires multi-channel #Sentinel2 reflectance and incoming light. No land cover, no VPD, no temperature. This simple model predicted canopy photosynthesis for both C3 and C4 (without separate models), captured drought/heatwave effects, light use efficiency and interannual variability. Why and how multi-channel reflectance can explain variations in canopy photosynthesis remains an open question—and an exciting avenue that deserves future study. Because all input data are available in real time on #GEE, we envision monitoring canopy photosynthesis any place, any time. Ultimately, integrating data-driven (GPP-net), semi-empirical (NIRvP), and process-based models (BESS) will enable a wide range of applications, from near-real-time crop monitoring to global estimates of photosynthesis. @DechantBenjamin @HelinZhang11301 @FengHuaize @IjeonghoN @ChanghyunChoi13 @snucals1 @SeoulNatlUni GPP-net: a robust high-resolution GPP estimation network for Sentinel-... sciencedirect.com/science/ar…

A new paper by our PhD student @IjeonghoN in Remote Sensing of Environment 📢 We developed a system that measures both directional and hemispherical hyperspectral reflectance and solar induced chlorophyll fluorescence controlled by two rotating prisms. This enables us to measure those quantities at different view geometries which will greatly support flux model development and evaluation, as well as satellite reflectance validation The original idea was developed by Joe Berry Ari Kornfeld who inspired us to improve their system during my sabbatical leave @CarnegieEcology in 2017. Thanks Joe and Ari! Generations of lab members devoted to develop/improve/maintain the system Jongmin Kim @DechantBenjamin Sangjun Lee @IjeonghoN The system will be used to evaluate Korean AgroForestry satellite Joongbin Lim, and many other satellites 🛰️ @snucals1 @SeoulNatlUni sciencedirect.com/science/ar…

Hot off the press 💐New international collaborative paper led by @WonseokFromESL and @ZarcoTejada team opened the door for scalable, cost-effective sun-induced chlorophyll fluorescence #SIF monitoring in precision agriculture and ecosystem studies — bridging the gap between expensive SIF hyperspectral systems and practical applications in the field. @snucals1 @SeoulNatlUni @HyperSensLab @Hyungsuk_Kimm Anirudh Belwalkar @TomasPoblete17 @YeonInsu Yeon Jae-Hyun Ryu Kyung-Do Lee @ZarcoTejada sciencedirect.com/science/ar…