Our People
Dr Cristina Ruiz Villena
Postdoctoral Research Associate
EO Data-Model Evaluation
Research interests
I am interested in greenhouse gases, the carbon cycle and combining climate models and data. I work on Environmental Digital Twins, integrating climate models and EO data using machine learning. Digital Twins are important because they provide decision support and democratise access to climate data.
Recent publications
Using a deep neural network to detect methane point sources and quantify emissions from PRISMA hyperspectral satellite images. 2023-05-30
DOI: https://doi.org/10.5194/amt-16-2627-2023
Towards a Digital Twin of the Carbon Cycle in Europe. 2023-02-26
DOI: https://doi.org/10.5194/egusphere-egu23-15455
Supplementary material to “Using a deep neural network to detect methane point sources and quantify emissions from PRISMA hyperspectral satellite images”. 2022-11-02
DOI: https://doi.org/10.5194/egusphere-2022-924-supplement
Using a deep neural network to detect methane point sources and quantify emissions from PRISMA hyperspectral satellite images. 2022-11-02
DOI: http://dx.doi.org/10.5194/egusphere-2022-924
Methane point source detection and quantification from high-resolution satellite observations and deep learning methods. 2022-03-28
DOI: https://doi.org/10.5194/egusphere-egu22-11695
Using demand mapping to assess the benefits of urban green and blue space in cities from four continents. 2021-09
DOI: http://dx.doi.org/10.1016/j.scitotenv.2021.147238
Barriers to child wellbeing in Dhaka settlements: Stakeholder perspectives and geospatial analysis. 2021
DOI: http://dx.doi.org/10.1016/j.wss.2021.100043
Discrete-wavelength DOAS NO2 slant column retrievals from OMI and TROPOMI. 2020-04-07
