11 citations as recorded by crossref.

1. Comparing CNNs and Random Forests for Landsat Image Segmentation Trained on a Large Proxy Land Cover Dataset T. Boston et al.
2. A national-scale assessment of land use change in peatlands between 1989 and 2020 using Landsat data and Google Earth Engine—a case study of Ireland W. Habib & J. Connolly
3. Land Cover Classification Model Using Multispectral Satellite Images Based on a Deep Learning Synergistic Semantic Segmentation Network A. Gharahbagh et al.
4. Analysing Land Cover Change in the Valencian Community through Landsat Imagery: From 1984 to 2022 J. Sobrino et al.
5. High-Resolution Land Use Land Cover Dataset for Meteorological Modelling—Part 1: ECOCLIMAP-SG+ an Agreement-Based Dataset G. Bessardon et al.
6. The Cycle 46 Configuration of the HARMONIE-AROME Forecast Model E. Gleeson et al.
7. Using machine learning to produce a cost-effective national building height map of Ireland to categorise local climate zones E. Keany et al.
8. Machine Learning in Weather Prediction and Climate Analyses—Applications and Perspectives B. Bochenek & Z. Ustrnul
9. Quantifying peatland land use and CO2 emissions in Irish raised bogs: mapping insights using Sentinel-2 data and Google Earth Engine W. Habib et al.
10. The hectometric modelling challenge: Gaps in the current state of the art and ways forward towards the implementation of 100‐m scale weather and climate models H. Lean et al.
11. Improving 2 m temperature forecasts of numerical weather prediction through a machine learning-based Bayesian model H. Zhang et al.