High-Resolution WRF Wind Field Dataset for GHG Applications: Navigating Computational Challenges in Energy ResearchKarthik MukkavilliW. Trojaket al.2023AGU Fall 2023
Towards operational methane emission detection from oil and gas facilities through multi-modal sensing and advanced dispersion and atmospheric modelingArash FathiJoao Lucas de Sousa Almeidaet al.2023AGU Fall 2023
Reversing the irreversible–super-resolution of noisy turbulent flow fieldsMalgorzata ZimonMykhaylo Zayatset al.2023APS March Meeting 2023
Predicting NDVI from SAR images toward Above Ground Biomass EstimationDaiki KimuraTatsuya Ishikawaet al.2024AGU 2024
Biodiversity and forest fragmentation assessment based on aboveground biomass prediction produced by fine-tuned geospatial foundation modelsLevente KleinGurkanwar Singhet al.2024AGU 2024
Uncertainty quantification of aboveground biomass predictions produced by fine-tuned geospatial foundation modelsHarini SrinivasanShraddha Singhet al.2024AGU 2024
Combining AI with matched filters to improve methane plume segmentation in hyperspectral imagesMaciel ZorteaRonald Albert Araujoet al.2024AGU 2024
A 3D super-resolution of wind fields via physics-informed pixel-wise self-attention generative adversarial networkTakuya KurihanaKyongmin Yeoet al.2023NeurIPS 2023
Monitoring the Impact of Wildfires on Tree Species with Deep LearningWang ZhouLevente Klein2020NeurIPS 2020
Physics-Informed Neural Network Super Resolution for Advection-Diffusion ModelsChulin WangEloisa Bentivegnaet al.2020NeurIPS 2020