Version 1
: Received: 11 September 2024 / Approved: 11 September 2024 / Online: 12 September 2024 (13:14:05 CEST)
How to cite:
Bessardon, G.; Rieutord, T.; Gleeson, E.; Oswald, S.; Palmason, B. High-Resolution Land Use Land Cover Dataset for Meteorological Modelling – Part 1: ECOCLIMAP-SG+ an Agreement-Based Dataset. Preprints2024, 2024090953. https://doi.org/10.20944/preprints202409.0953.v1
Bessardon, G.; Rieutord, T.; Gleeson, E.; Oswald, S.; Palmason, B. High-Resolution Land Use Land Cover Dataset for Meteorological Modelling – Part 1: ECOCLIMAP-SG+ an Agreement-Based Dataset. Preprints 2024, 2024090953. https://doi.org/10.20944/preprints202409.0953.v1
Bessardon, G.; Rieutord, T.; Gleeson, E.; Oswald, S.; Palmason, B. High-Resolution Land Use Land Cover Dataset for Meteorological Modelling – Part 1: ECOCLIMAP-SG+ an Agreement-Based Dataset. Preprints2024, 2024090953. https://doi.org/10.20944/preprints202409.0953.v1
APA Style
Bessardon, G., Rieutord, T., Gleeson, E., Oswald, S., & Palmason, B. (2024). High-Resolution Land Use Land Cover Dataset for Meteorological Modelling – Part 1: ECOCLIMAP-SG+ an Agreement-Based Dataset. Preprints. https://doi.org/10.20944/preprints202409.0953.v1
Chicago/Turabian Style
Bessardon, G., Sandro Oswald and Bolli Palmason. 2024 "High-Resolution Land Use Land Cover Dataset for Meteorological Modelling – Part 1: ECOCLIMAP-SG+ an Agreement-Based Dataset" Preprints. https://doi.org/10.20944/preprints202409.0953.v1
Abstract
ECOCLIMAP-SG+ is a new 60~m land use land cover dataset, which covers a continental domain, and represents the 33 labels of the original ECOCLIMAP-SG dataset. ECOCLIMAP-SG is used in HARMONIE-AROME, the numerical weather prediction model used operationally by Met Éireann and other national meteorological services. ECOCLIMAP-SG+ was created using an agreement-based method to combine information from many maps to overcome variations in semantic and geographical coverage, resolutions, formats, accuracies, and representative periods. In addition to ECOCLIMAP-SG+, the process generates an agreement score map, which estimates the uncertainty of the land cover labels in ECOCLIMAP-SG+ at each location in the domain. This work presents the first evaluation of ECOCLIMAP-SG and ECOCLIMAP-SG+ against the following trusted land cover maps: LUCAS 2022, the Irish National Land Cover 2018 dataset, and an Icelandic version of ECOCLIMAP-SG. Using a set of primary labels, ECOCLIMAP-SG+ outperforms ECOCLIMAP-SG regarding the F1-score against LUCAS 2022 over Europe and the Irish national land cover 2018 dataset. Similarly, it outperforms ECOCLIMAP-SG against the Icelandic version of ECOCLIMAP-SG for most of the represented secondary labels. The score map shows that the quality ECOCLIMAP-SG+ is hetereogeneous. It could be improved once new maps once they become available but we do not control when they will be available. Therefore, the second-part of this publication series aims at improving the map using machine learning.
Keywords
land cover land use; meteorology; uncertainty quantification
Subject
Environmental and Earth Sciences, Atmospheric Science and Meteorology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
