Personal information

No personal information available

Activities

Collapse all

Employment (2)

University of Valencia: Valencia, ES

2021-11-01 to 2025-11-01 | PhD Student (Image Processing Laboratory)
Employment
Source: Self-asserted source
Tristan Keith Ellis Williams

European Space Agency: Rome, IT

2020-09-01 to 2022-09-01 | Earth Observation Science - YGT
Employment
Source: Self-asserted source
Tristan Keith Ellis Williams

Education and qualifications (2)

University of Edinburgh: Edinburgh, GB

2019-09-01 to 2020-09-01 | MSc Earth Observation and Geoinformation Management (School of Geosciences)
Education
Source: Self-asserted source
Tristan Keith Ellis Williams

University of Edinburgh: Edinburgh, GB

2014-09-01 to 2018-09-01 | BSc (hons) Environmental Resource Management (SRUC)
Education
Source: Self-asserted source
Tristan Keith Ellis Williams

Works (10)

Exploring Non-Linear Memory Between Soil Moisture and Forest Greenness Dynamics

2025-03-15 | Preprint
DOI: 10.5194/egusphere-egu25-17801
Contributors: Tristan Williams; Miguel D. Mahecha; Gustau Camps-Valls
Source: check_circle
Crossref

Evaluating Forest Resilience in Europe with Deep Learning Persistence Analysis

2025-01-20 | Preprint
DOI: 10.5194/egusphere-egu24-20805
Contributors: Tristan Williams; Francesco Martinuzzi; Gustau Camps-Valls; Miguel D. Mahecha
Source: check_circle
Crossref

Impact Predictability: Exploring Extremes in Biosphere Dynamics with Recurrent Neural Networks

2025-01-20 | Preprint
DOI: 10.5194/egusphere-egu24-9569
Contributors: Francesco Martinuzzi; Miguel D. Mahecha; Gustau Camps-Valls; David Montero; Tristan Williams; Karin Mora
Source: check_circle
Crossref

Learning extreme vegetation response to climate drivers with recurrent neural networks

Nonlinear Processes in Geophysics
2024-11-13 | Journal article
DOI: 10.5194/npg-31-535-2024
Contributors: Francesco Martinuzzi; Miguel D. Mahecha; Gustau Camps-Valls; David Montero; Tristan Williams; Karin Mora
Source: check_circle
Crossref

The AIDE Toolbox: Artificial intelligence for disentangling extreme events [Software and Data Sets]

IEEE Geoscience and Remote Sensing Magazine
2024-06 | Journal article
DOI: 10.1109/MGRS.2024.3382544
Contributors: Maria Gonzalez-Calabuig; Jordi Cortés-Andrés; Tristan Keith Ellis Williams; Mengxue Zhang; Oscar Jose Pellicer-Valero; Miguel-Ángel Fernández-Torres; Gustau Camps-Valls
Source: check_circle
Crossref

Learning Extreme Vegetation Response to Climate Forcing: A Comparison of Recurrent Neural Network Architectures

2023-10-17 | Preprint
DOI: 10.5194/egusphere-2023-2368
Contributors: Francesco Martinuzzi; Miguel D. Mahecha; Gustau Camps-Valls; David Montero; Tristan Williams; Karin Mora
Source: Self-asserted source
Tristan Keith Ellis Williams
grade
Preferred source (of 2)‎

Estimating non-linear persistence for impact assessment in European forests

European Geosciences Union Meeting 2023
2023-05-15 | Conference abstract
DOI: 10.5194/egusphere-egu23-5515
Contributors: Tristan Williams; Miguel D. Mahecha; Gustau Camps-Valls
Source: Self-asserted source
Tristan Keith Ellis Williams

XAIDA4Detection: A Toolbox for the Detection and Characterization of Spatio-Temporal Extreme Events

European Geosciences Union Meeting 2023
2023-05-15 | Conference poster
DOI: 10.5194/egusphere-egu23-4816
Contributors: Jordi Cortés-Andrés; Maria Gonzalez-Calabuig; Mengxue Zhang; Tristan Williams; Miguel Ángel Fernández Torres; Oscar J. Pellicer-Valero; Gustau Camps-Valls
Source: Self-asserted source
Tristan Keith Ellis Williams

Characterising Forest Degradation Factors with Sentinel-1: A Case Study of Charcoal Production in Mozambique

2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS
2021-07-11 | Conference paper
DOI: 10.1109/igarss47720.2021.9553714
Source: Self-asserted source
Tristan Keith Ellis Williams

A Deep Learning Approach to Detect Charcoal Kilns in Medium Resolution Satellite Imagery: A step towards disentangling the drivers of deforestation in Mozambique.

Edinburgh Research Archive
2020-08-20 | Dissertation or Thesis
DOI: 10.7488/ERA/923
Contributors: Tristan Williams
Source: Self-asserted source
Tristan Keith Ellis Williams
How many people are using ORCID?