Plant trait retrieval from hyperspectral data: Collective efforts in scientific data curation outperform simulated data derived from the PROSAIL model. ISPRS Open Journal of Photogrammetry and Remote Sensing, 100080, Elsevier BV, December 2024. [PUMA: topic_earthenvironment xack yaff] URL
Arctic climate response to European radiative forcing: a deep learning study on circulation pattern changes. Weather and Climate Dynamics, (5)4:1223-1268, Copernicus Publications, 2024. [PUMA: topic_earthenvironment yaff]
Earth System Data Cubes: Avenues for advancing Earth system research. Environmental Data Science, (3):e27, 2024. [PUMA: topic_earthenvironment xack yaff]
Emulation of Forward Modeled Top-of-Atmosphere MODIS-Based Spectral Channels Using Machine Learning. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, (18):1896-1911, 2025. [PUMA: topic_earthenvironment yaff]
Validating Deep Learning Weather Forecast Models on Recent High-Impact Extreme Events. Artificial Intelligence for the Earth Systems, (4)1:e240033, American Meteorological Society, Boston MA, USA, 2025. [PUMA: topic_earthenvironment xack yaff] URL
Water management assessment with text mining. EGU General Assembly Conference Abstracts, EGU-8349, 2023. [PUMA: Zno topic_earthenvironment]
Arctic Climate Response to European Radiative Forcing: A Deep Learning Approach. EGUsphere, (2024):1-55, Copernicus Publications, 2024. [PUMA: Yaff topic_earthenvironment]
DeepExtremeCubes: Earth system spatio-temporal data for assessing compound heatwave and drought impacts. Scientific Data, (12)1:149, Jan 25, 2025. [PUMA: Yaff topic_earthenvironment] URL
Impacts and damages of the European multi-year drought and heat event 2018–2022 on forests, a review. Jul 26, 2023. [PUMA: FIS_scads imported topic_earthenvironment yaff]
Mapping indicator species of segetal flora for result-based payments in arable land using UAV imagery and deep learning. Ecological indicators, (169)Elsevier Science B.V., December 2024. [PUMA: FIS_scads imported topic_earthenvironment xack yaff]
Arctic Climate Response to European Radiative Forcing: A Deep Learning Approach. EGUsphere, (2024):1--55, 2024. [PUMA: Yaff topic_earthenvironment] URL
ALAS: Active Learning for Autoconversion Rates Prediction from Satellite Data. NeurIPS 2023 AI for Science Workshop, 2023. [PUMA: topic_earthenvironment imported] URL
Marine cloud base height retrieval from MODIS cloud properties using machine learning. Atmospheric Measurement Techniques, to appear, 2024. [PUMA: topic_earthenvironment imported] URL
Unleashing the Autoconversion Rates Forecasting: Evidential Regression from Satellite Data. NeurIPS 2023 Workshop on Tackling Climate Change with Machine Learning, 2023. [PUMA: topic_earthenvironment imported] URL
ReservoirComputing.Jl: An efficient and modular library for reservoir computing models. arXiv, 2022. [PUMA: topic_earthenvironment]
Physics-aware nonparametric regression models for Earth data analysis. Environ. Res. Lett., (17)5:054034, IOP Publishing, May 2022. [PUMA: topic_earthenvironment]
AngleCam : Predicting the temporal variation of leaf angle distributions from image series with deep learning. Methods Ecol. Evol., (13)11:2531--2545, Wiley, November 2022. [PUMA: topic_earthenvironment]
Spatially autocorrelated training and validation samples inflate performance assessment of convolutional neural networks. ISPRS Open Journal of Photogrammetry and Remote Sensing, (5)100018:100018, Elsevier BV, August 2022. [PUMA: topic_earthenvironment]
Mapping land-use intensity of grasslands in Germany with machine learning and Sentinel-2 time series. Remote Sens. Environ., (277)112888:112888, Elsevier BV, August 2022. [PUMA: topic_earthenvironment]
DeepForest: Novel deep learning models for land use and land cover classification using multi-temporal and -modal Sentinel data of the Amazon basin. Remote Sens. (Basel), (14)19:5000, MDPI AG, October 2022. [PUMA: topic_earthenvironment]