Grace Colverd @gracecolv.bsky.social · 21/12/2024Ah Helen my partner and I have both read Blue machine! We love it, what a wonderful book 010
Grace Colverd @gracecolv.bsky.social · 16/12/2024You can read about the impacts of the number of SLC images on the height prediction of forests in Germany (spoiler alert, deep learning does not fully replace signal processing) in our paper arxiv.org/abs/2412.00903arxiv.orgTomographic SAR Reconstruction for Forest Height EstimationTree height estimation serves as an important proxy for biomass estimation in ecological and forestry applications. While traditional methods such as photogrammetry and Light Detection and Ranging (Li... 010
Grace Colverd @gracecolv.bsky.social · 16/12/2024Had a wonderful time presenting our two posters on tomographic SAR for forest height prediction and tree species classification at #ML4PS and #CCAI workshops at NeurIPS This work was completed as part of an internship at FDL, working on a project proposed by ESA to support the Biomass Satellite 130
Grace Colverd @gracecolv.bsky.social · 14/12/2024If you’re interested in large-scale energy modelling, remote sensing for infrastructure, urban building energy modelling, or open sourcing I’d love to chat ☀️ You can find our dataset repo at github.com/graceebc9/Ne... We are still finalising the full dataset submission so all feedback welcomegithub.comGitHub - graceebc9/NebulaDatasetContribute to graceebc9/NebulaDataset development by creating an account on GitHub. 040
Grace Colverd @gracecolv.bsky.social · 14/12/2024Hi BlueSky! I’m Grace, a PhD student in applied AI for environmental risk from the University of Cambridge. I’m at NeurIPs 2024 Climate Change AI workshop this weekend introducing a new dataset I’ve been developing for neighbourhood level energy modelling www.climatechange.ai/papers/neuri...climatechange.aiHigh-Resolution Domestic Energy Modelling for National Energy and Retrofit PlanningClimate Change AI - NeurIPS 2024 Accepted Work 1112