451a6a5d-a17b-4d71-aad0-188739403d8c eng utf8 dataset dataset NERC EDS UK Polar Data Centre +44 (0)1223 221400 British Antarctic Survey, High Cross, Madingley Road Cambridge Cambridgeshire CB3 0ET United Kingdom polardatacentre@bas.ac.uk https://www.bas.ac.uk/team/business-teams/information-services/uk-polar-data-centre/ information pointOfContact 2025-07-02 ISO 19115 Geographic Information - Metadata ISO 19115:2003(E) European Petroleum Survey Group (EPSG) Geodetic Parameter Registry 2008-11-12 publication European Petroleum Survey Group EPSGadministrator@iogp.org https://www.epsg-registry.org/ EPSG Geodetic Parameter Dataset The EPSG Geodetic Parameter Dataset is a structured dataset of Coordinate Reference Systems and Coordinate Transformations, accessible through this online registry. information publisher urn:ogc:def:crs:EPSG::3031 6.18.3 Suitable areas for very high-resolution optical satellite imagery to monitor live and stranded cetaceans around the UK and UK Overseas Territories, based on ERA5 reanalysis data (2018-2022) 2025-07-02 creation 2025-07-02 revision 2025-07-02 publication 2025-07-02 released 1.0 https://doi.org/10.5285/451a6a5d-a17b-4d71-aad0-188739403d8c doi GB/NERC/BAS/PDC/02076 https://data.bas.ac.uk/ NE/T00939X/1 award Please cite this item as: Clarke, P.J., Skachkova, A., Jackson, J., Cubaynes, H., & Jones, G. (2025). Suitable areas for very high-resolution optical satellite imagery to monitor live and stranded cetaceans around the UK and UK Overseas Territories, based on ERA5 reanalysis data (2018-2022) (Version 1.0) [Data set]. NERC EDS UK Polar Data Centre. https://doi.org/10.5285/451a6a5d-a17b-4d71-aad0-188739403d8c This dataset presents the suitable area(s) for very high-resolution optical satellite imagery to monitor live and stranded cetaceans around the UK and UK Overseas Territories, based on five-year monthly median 'Total Cloud Cover' and '10m Wind Speed' ERA5 global reanalysis data. Monitoring live and stranded cetaceans can be expensive and logistically challenging resulting in knowledge gaps. Very high-resolution (VHR) optical satellites are considered a potential solution to addressing some of these gaps. Despite success at detecting live and stranded cetaceans, satellites have only been trialled on restricted spatial and temporal scales. We established a framework for assessing the feasibility of using VHR optical satellite-based monitoring of cetaceans at high temporal frequency and local to global scales, focusing on the UK and UK Overseas Territories as a case study. We assessed the primary environmental conditions necessary for successful application of this technology: cloud cover and wind speed. Here we present the spatial feasibility of satellite monitoring around the UK, and the Caribbean and the Falkland Islands (Islas Malvinas), based on five-year (2018-2022) monthly median 'Total Cloud Cover' and '10m Wind Speed' ERA5 global reanalysis data. The data are .tif format depicting the five-year (2018-2022) monthly median of the respective environmental variable, which is subject to a user defined threshold to generate vector (polygon shapefile) format feasibility maps, depicting the 'suitable area(s)' mapped to the study area. For live cetacean monitoring, 'suitable area(s)' delineate where both five year monthly average environmental variables met the predefined threshold over open water, and for stranded cetaceans 'Total Cloud Cover' only along the coastline (2km either side of the coastline). The suitable areas are merged (and dissolved) for projects interested in monitoring both live and stranded cetaceans, which can be extended to include monitoring of floating dead cetaceans. This research has been supported by the Natural Environment Research Council (NERC) through a SENSE CDT studentship (grant no. NE/T00939X/1) and the Joint Nature Conservation Committee. No credit. completed Clarke, Penny J British Antarctic Survey Researcher author Skachkova, Aliaksandra British Antarctic Survey Researcher author Jackson, Jennifer A British Antarctic Survey Researcher author Cubaynes, Hannah C British Antarctic Survey Researcher author Jones, Gwawr Joint Nature Conservation Committee Researcher author NERC EDS UK Polar Data Centre +44 (0)1223 221400 British Antarctic Survey, High Cross, Madingley Road Cambridge Cambridgeshire CB3 0ET United Kingdom PDCServiceDesk@bas.ac.uk https://www.bas.ac.uk/team/business-teams/information-services/uk-polar-data-centre/ information pointOfContact asNeeded completed EARTH SCIENCE > Atmosphere > Atmospheric Winds EARTH SCIENCE > Atmosphere > Clouds theme Global Change Master Directory (GCMD) Science Keywords 2026-01-27 publication 23 Global Change Data Center, Science and Exploration Directorate, Goddard Space Flight Center (GSFC) National Aeronautics and Space Administration (NASA) Greenbelt MD United States of America https://earthdata.nasa.gov/about/gcmd/global-change-master-directory-gcmd-keywords Global Change Master Directory (GCMD) Keywords The information provided on this page seeks to define how the GCMD Keywords are structured, used and accessed. It also provides information on how users can participate in the further development of the keywords. information publisher ECMWF-ERA5 cloud cover marine mammals remote sensing wind theme United Kingdom Falkland Islands Caribbean place Atmospheric conditions theme GEMET - INSPIRE themes, version 1.0 2021-01-06 revision otherRestrictions no limitations to public access otherRestrictions no limitations license Open Government Licence v3.0 otherRestrictions Data supplied under Open Government Licence v3.0 otherRestrictions None. url url dependency url url crossReference url url crossReference doi doi crossReference doi doi crossReference url url crossReference url url crossReference doi doi crossReference textTable eng utf8 geoscientificInformation imageryBaseMapsEarthCover -90.0 -50.0 5.0 35.0 2018-01-01 2022-12-31 It is recommended that careful attention be paid to the contents of any data, and that the author be contacted with any questions regarding appropriate use. If you find any errors or omissions, please report them to polardatacentre@bas.ac.uk. NERC EDS UK Polar Data Centre +44 (0)1223 221400 British Antarctic Survey, High Cross, Madingley Road Cambridge Cambridgeshire CB3 0ET United Kingdom PDCServiceDesk@bas.ac.uk https://www.bas.ac.uk/team/business-teams/information-services/uk-polar-data-centre/ information distributor text/plain image/tiff application/vnd.shp bytes 996147200 http://ramadda.data.bas.ac.uk/repository/entry/show?entryid=451a6a5d-a17b-4d71-aad0-188739403d8c WWW:LINK-1.0-http--link Get Data Download data download bytes 996147200 http://ramadda.data.bas.ac.uk/repository/entry/show?entryid=451a6a5d-a17b-4d71-aad0-188739403d8c WWW:LINK-1.0-http--link Get Data Download data download bytes 996147200 http://ramadda.data.bas.ac.uk/repository/entry/show?entryid=451a6a5d-a17b-4d71-aad0-188739403d8c WWW:LINK-1.0-http--link Get Data Download data download dataset Methodology: This dataset uses as input the following datasets: 'ERA5 monthly averaged data on single levels from 1940 to present' sub-variables, 'Total cloud cover' and '10m wind speed' (see https://doi.org/10.24381/cds.f17050d7) 'Total cloud cover' (0 and 1 or 0% and 100%) is the portion of a grid cell covered by cloud, and integrates all cloud information from the Earth's surface to the top of atmosphere. '10m wind speed' (ms-1) represents horizontal wind speed in meters per second, at 10m above the Earth's surface. For details on precisely how to download ERA5 data, see supplemental_ material_ 2 in the associated manuscript or view downloading_era5_data.pdf in the associated Github repository: https://github.com/PennyJClarke/feasibility-mapping. The bounding box coordinates of the three study areas were selected to encompass the entirety of the Exclusive Economic Zone (EEZ) of the study area, and used to delineate and extract wind and cloud data from the ECMWF reanalysis ERA5 data. The assessment of all data was conducted using open source QGIS 3.28 pyQGIS console. An open-source pipeline to identify areas that meet a threshold of environmental variables in extracted ERA5 data, is available at: https://github.com/PennyJClarke/feasibility-mapping and a description follows. All years of data, (1940-2023), were downloaded and later subset to extract the most recent five years (2018-2022) of data for environmental variables 'Total cloud cover' and '10m wind speed'. To perform a threshold analysis, for each month, first we calculated the five-year monthly median for 'Total cloud cover' and '10m wind speed' from 2018-2022 (.tif files). Median was selected for its greater representation of central tendency. The monthly median outputs were then masked to retain only those areas that met or were below the predefined threshold. The masked areas of both variables were converted into a vector (polygon shapefile). For live cetaceans, both vectors were used to perform an intersection (extraction of overlapping features from the two input layers) of the matching monthly 'Total cloud cover' and '10m wind speed'. The resulting final 'suitable area(s)', where both 5 year monthly average environmental variables met the predefined threshold (vector polygon shapefiles), was mapped to the study area to develop feasibility maps. For stranded cetaceans, the outputs for 'Total cloud cover' alone, masked by the coastline (to include 2km buffer either side of the coastline) form the resulting final 'suitable area(s)' to develop feasibility maps. Finally, for projects interested in exploring stranded and floating dead/live cetaceans ('float_and_strand'), the 'suitable area(s)' for both live and stranded cetaceans were merged and boundaries dissolved, to develop feasibility maps. In addition, to understand the (interannual) variability in the dataset, the standard deviation was extracted and mapped (.tif format). To evaluate monthly average 'Total cloud cover', we devised thresholds to define the likelihood of achieving a suitable image collection (see table 1 below and detailed further details in the associated paper). The term suitable image is used to describe an image that is cloud free or contains thin or spatially restricted cloud, which does not render an image unusable and for live cetaceans only, where the sea state is below Beaufort 4 (equal 8 ms-1, for studies monitoring small cetacean species, it may be sensible to be conservative and reduce the wind speed threshold to Beaufort 3, equal to 5 ms-1). Table 1 - ERA5 'Total Cloud Cover (TCC)' monthly average thresholds (%) and associated likelihood of achieving a suitable image collection. 'TCC' is given as a value between 0 and 1, as probability is a value between 0 and 1 or 0% and 100% inclusive, therefore, to assess the likelihood (percentage likelihood) of achieving a suit...(12) Data collection: The assessment of all data was conducted using open source QGIS 3.28 pyQGIS console. An open-source pipeline to identify areas that meet a threshold of environmental variables in extracted ERA5 data, is available at: (https://github.com/PennyJClarke/feasibility-mapping) Data quality: The datasets were extracted from the European Centre for Medium-range Weather Forecasts (ECMWF) reanalysis ERA5 data. The ERA5 data used in the feasibility mapping exercise is a synthetic version of Earth's atmospheric conditions, and its performance is dependent upon the quality of observed and modelled data. As observation records are spatially and temporally biased and inconsistent in their standards, modelled data will be less accurate in regions with fewer observations. We used monthly averages to map feasibility; more refined daily products available through ERA5 could provide higher resolution information about satellite imaging feasibility than our exploration. Regardless of the timescale; daily; hourly; monthly; or yearly, analysing averages can conceal anomalous periods. ERA5 data is a global dataset, which is advantageous for the replicability and comparability of these feasibility assessments on a global scale. However, in the future, regional reanalysis datasets or locally derived observation datasets, may provide a higher resolution alternative to ERA5, which, when combined with local knowledge, could achieve more accurate local-level assessments. The spatial resolution of ERA5 data is much coarser than the VHR optical satellite imagery we are interpreting feasibility for. The data are also much coarser than the conditions which they are representing, and which conservation managers require to make informed decisions. ERA5 is a gridded dataset with a native horizontal resolution of approximately 31km (0.28125 degrees), which, when downloaded, is reprojected to a 0.25 by 0.25 degrees latitude/longitude (the resolution of the data in kilometres is consistent across latitude, however, longitude decreases poleward due to convergence). asNeeded completed