Grace Colverd
@gracecolv.bsky.social
PhD student in Cambridge. Currently: researching ML methods to decarbonise the building stock (Applied AI for Environmental Risk). Formerly: consulting, physics + philosophy. Energy modelling, ML for good, remote sensing
Ah Helen my partner and I have both read Blue machine! We love it, what a wonderful book
December 21, 2024 at 12:24 PM
Ah Helen my partner and I have both read Blue machine! We love it, what a wonderful book
You 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/2412.00903
Tomographic SAR Reconstruction for Forest Height Estimation
Tree 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...
arxiv.org
December 16, 2024 at 2:58 AM
You 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/2412.00903
If 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 welcome
You can find our dataset repo at github.com/graceebc9/Ne...
We are still finalising the full dataset submission so all feedback welcome
GitHub - graceebc9/NebulaDataset
Contribute to graceebc9/NebulaDataset development by creating an account on GitHub.
github.com
December 14, 2024 at 10:09 PM
If 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 welcome
You can find our dataset repo at github.com/graceebc9/Ne...
We are still finalising the full dataset submission so all feedback welcome