Thanks all of our coauthors’ contributions! Hopefully our work will let more people keep a watchful eye on machine learning model structure and physical interpretability rather than only 'black-box' accuracy in wildfire/Earth science!
Our lab is looking for a Ph.D. student and a postdoctoral scientist to join us at @UWMadison. Check out details here: https://t.co/nQeY1Q7e7P We appreciate your RT!
Thrilled to share our new paper in @NewPhyt 🥳We've compiled a comprehensive dataset of leaf traits and spectra to explore the transferability of predictive models and underscored the importance of greater spectral diversity in model training to boost its transferability.
Unveiling the transferability of PLSR models for leaf trait estimation: lessons from a comprehensive analysis with a novel global dataset
Ji et al. @Fujiang_Ji@mmmmchen@Fa_Li_Fa_Li@DaleiHao@ashiklom711 @geoxiyang @PhilTownsnd @hamid_dashti2
📖 https://t.co/lJCrdY0jF7
Our lab's new study: despite the forest having a higher LAI, its VIs like EVI, NIRv, and SIF are notably lower than the US corn belt. This challenges our understanding of remote sensing of vegetation greenness and productivity. Led by @YeluZeng@DaleiHao@parkecogeo
🌲 PhD Opportunity at UW-Madison!
🔍 Researching climate change, ecosystems & human interaction.
🛠️ Use AI, Earth system models, remote sensing & more.
💻 Strong quantitative skills & programming.
📌 Info & apply: https://t.co/zJCKnnVaOp
📩 Contact: [email protected] (with CV)
A Ph.D. Candidate now!😊I remain aware of the amount of knowledge and growth that still awaits me.
I am grateful for the valuable feedback and support from my advisor and committees @mmmmchen@OzdoganMutlu@ashiklom711@PhilTownsnd@ZhouZhang10