12 citations · 13 across the 7 of their papers we have counts for
7 papers
Zero-Shot Satellite Image Retrieval through Joint Embeddings: Application to Crisis Response
James Walsh, William Fawcett, Grace Colverd +1
Semantic search of Earth observation archives remains challenging. Visual foundation models such as CLAY produce rich embeddings of satellite imagery but lack the natural-language…
NEBULA: A National Scale Dataset for Neighbourhood-Level Urban Building Energy Modelling for England and Wales
Grace Colverd, Ronita Bardhan, Jonathan Cullen
Buildings are significant contributors to global greenhouse gas emissions, accounting for 26% of global energy sector emissions in 2022. Meeting net zero goals requires a rapid red…
Tomographic SAR Reconstruction for Forest Height Estimation
Grace Colverd, Jumpei Takami, Laura Schade +2
Tree height estimation serves as an important proxy for biomass estimation in ecological and forestry applications. While traditional methods such as photogrammetry and Light Detec…
Tree Species Classification using Machine Learning and 3D Tomographic SAR -- a case study in Northern Europe
Colverd Grace, Schade Laura, Takami Jumpei +2
Tree species classification plays an important role in nature conservation, forest inventories, forest management, and the protection of endangered species. Over the past four deca…
Evaluating Language Model Character Traits
Francis Rhys Ward, Zejia Yang, Alex Jackson +7
Language models (LMs) can exhibit human-like behaviour, but it is unclear how to describe this behaviour without undue anthropomorphism. We formalise a behaviourist view of LM char…
3D-SAR Tomography and Machine Learning for High-Resolution Tree Height Estimation
Grace Colverd, Jumpei Takami, Laura Schade +2
Accurately estimating forest biomass is crucial for global carbon cycle modelling and climate change mitigation. Tree height, a key factor in biomass calculations, can be measured…
FloodBrain: Flood Disaster Reporting by Web-based Retrieval Augmented Generation with an LLM
Grace Colverd, Paul Darm, Leonard Silverberg +1
Fast disaster impact reporting is crucial in planning humanitarian assistance. Large Language Models (LLMs) are well known for their ability to write coherent text and fulfill a va…