George, C.T.; Gerard, F.F.; Peyton, J.M.; Pescott, O.L.
Two-metre resolution land cover classification of the Akrotiri Peninsular, Cyprus from WorldView imagery 2018
Cite this dataset as:
George, C.T.; Gerard, F.F.; Peyton, J.M.; Pescott, O.L. (2021). Two-metre resolution land cover classification of the Akrotiri Peninsular, Cyprus from WorldView imagery 2018. NERC EDS Environmental Information Data Centre. https://doi.org/10.5285/95ab2233-ed8d-4c32-b82c-ae282ba567f7
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By accessing or using this dataset, you agree to the terms of the relevant licence agreement(s). You will ensure that this dataset is cited in any publication that describes research in which the data have been used.
Maxar Products. WorldView-2 © 2018 Maxar Technologies
Maxar Products. WorldView-3 © 2018 Maxar Technologies
This dataset is available under the terms of the Open Government Licence
https://doi.org/10.5285/95ab2233-ed8d-4c32-b82c-ae282ba567f7
This dataset contains land cover classification of the Akrotiri Peninsular of Cyprus, using WorldView Imagery at 2m resolution. Images from March 2018 and July 2018 were used. All the imagery was atmospherically corrected. The thematic detail of the map was generalised to the following main vegetation/cover types: bare, lake, temporary water, salt marsh, rush salt meadow, garrigue, sparse vegetation, grass, mixed woodland, Eucalyptus and Acacia. The cover classes salt marsh and rush salt meadow represent mosaics of vegetation communities. Due to Covid-19 restrictions, ground data collection was severely restricted, resulting in limited training and validation data.
This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.
This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.
Publication date: 2021-09-29
View numbers valid from 01 June 2023 Download numbers valid from 20 June 2024 (information prior to this was not collected)
Format
TIFF
Spatial information
Study area
Spatial representation type
Vector
Spatial reference system
WGS 84
Temporal information
Temporal extent
2018-03-03 to 2018-07-06
Provenance & quality
Data was generated using the ENVI Example Based Feature Extraction tool, from the following satellite images: WorldView-3 (WV-3) 1.2m multispectral (8 wavelength bands) from 3rd March 2018 and WorldView-2 (WV-2) 2.0m multispectral (8 wavelength bands) from 6th July 2018. The July imagery was a single image covering the whole Akrotiri peninsular, while the March imagery consisted of two images (east and west of peninsular) originating from different swaths, each with a different viewing angle. All the imagery was atmospherically corrected using the ENVI FLAASH software. For both east and west, the July and March imagery were resampled to ensure consistency in spatial resolution and combined into a single 2m 16 wavelength band image stack. The classification was validated using google maps and local knowledge due to COVID-19 restricting ground data collection.
Licensing and constraints
This dataset is available under the terms of the Open Government Licence
Cite this dataset as:
George, C.T.; Gerard, F.F.; Peyton, J.M.; Pescott, O.L. (2021). Two-metre resolution land cover classification of the Akrotiri Peninsular, Cyprus from WorldView imagery 2018. NERC EDS Environmental Information Data Centre. https://doi.org/10.5285/95ab2233-ed8d-4c32-b82c-ae282ba567f7
Maxar Products. WorldView-2 © 2018 Maxar Technologies
Maxar Products. WorldView-3 © 2018 Maxar Technologies
Correspondence/contact details
George, C.
UK Centre for Ecology & Hydrology
Maclean Building, Benson Lane, Crowmarsh Gifford
Wallingford
Oxfordshire
OX10 8BB
UNITED KINGDOM
enquiries@ceh.ac.uk
Wallingford
Oxfordshire
OX10 8BB
UNITED KINGDOM
Authors
Other contacts
Rights holder
UK Centre for Ecology & Hydrology
Custodian
NERC EDS Environmental Information Data Centre
info@eidc.ac.uk
Publisher
NERC EDS Environmental Information Data Centre
info@eidc.ac.uk
Additional metadata
Funding
Natural Environment Research Council Award: NE/R016429/1
Last updated
21 March 2025 13:35