cf68be0c-e969-4190-8ec6-abeedb51b42c English ISO/IEC 8859-1 (also known as Latin 1) dataset dataset NERC EDS Environmental Information Data Centre Lancaster Environment Centre, Library Avenue, Bailrigg Lancaster LA1 4AP UK info@eidc.ac.uk https://eidc.ac.uk/ EIDC website The Environmental Information Data Centre (EIDC) is the UK's national data centre for terrestrial and freshwater sciences. information pointOfContact 2025-11-13T16:17:28 UK GEMINI 2.3 OSGB 1936 / British National Grid Multispectral airborne imagery and associated classifications, training data and validation data, for mapping nectar-rich floral resources for pollinators, Northamptonshire, UK 2020 2021-07-26 publication https://catalogue.ceh.ac.uk/id/cf68be0c-e969-4190-8ec6-abeedb51b42c 10.5285/cf68be0c-e969-4190-8ec6-abeedb51b42c doi: Barnsley, S.B., Lovett, A.A., Dicks, L.V. (2021). Multispectral airborne imagery and associated classifications, training data and validation data, for mapping nectar-rich floral resources for pollinators, Northamptonshire, UK 2020. NERC EDS Environmental Information Data Centre 10.5285/cf68be0c-e969-4190-8ec6-abeedb51b42c Data presented here include imagery with ground-sampling distances of 3 cm and 7 cm for March 2019, May 2019 and July 2019. Also included are the corresponding ground-truth training and verification data presented as shapefiles, as well as the classification output and other data relevant to the project such as the width of floral units. The imagery was acquired by Spectrum Aviation using A6D-100c (50mm) Hasselblad cameras with bayer filters, mounted on a Sky Arrow 650 manned aircraft. Ground-truth data for training maximum likelihood classifications and for verifying the accuracy of classifications were gathered within eight days of imagery acquisition. Ground-truth data were acquired from sown field margins and hedgerow surrounding one study field. This dataset was acquired from March to July 2019 at a farm in Northamptonshire, UK. Data were acquired as part of a NERC funded iCASE PhD studentship (NERC grant NE/N014472/1) based at the University of East Anglia and in collaboration with Hutchinsons Ltd. The aim of the research was to map the floral units of five nectar-rich flowering plant species using very high resolution multispectral imagery. Each species constitutes an important food resource for pollinators. The plant species in question were Prunus spinosa, Crataegus monogyna, Silene dioica, Centaurea nigra and Rubus fruticosus. Full details about this dataset can be found at https://doi.org/10.5285/cf68be0c-e969-4190-8ec6-abeedb51b42c Barnsley, S.B. University of East Anglia s.barnsley@uea.ac.uk https://orcid.org/0000-0002-7006-5390 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Lovett, A.A. University of East Anglia a.lovett@uea.ac.uk https://orcid.org/0000-0003-0554-9273 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Dicks, L.V. University of Cambridge lvd22@cam.ac.uk https://orcid.org/0000-0002-8304-4468 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Barnsley, S. University of East Anglia s.barnsley@uea.ac.uk https://orcid.org/0000-0002-7006-5390 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information pointOfContact NERC EDS Environmental Information Data Centre info@eidc.ac.uk custodian NERC EDS Environmental Information Data Centre info@eidc.ac.uk publisher University of East Anglia s.barnsley@uea.ac.uk owner University of Cambridge lvd22@cam.ac.uk owner notPlanned Land Cover Habitats and Biotopes theme GEMET - INSPIRE themes, version 1.0 2008-06-01 publication Silene dioica Centaurea nigra Rubus fruticosus Crataegus monogyna Prunus spinosa hedgerow Wikidata 2012-10-29 creation Environmental survey Land cover Pollinators DeWALT laser beam measure semi-automatic classification SCP plugin QGIS version 3.4.15 red campion hawthorn bramble blackthorn common knapweed hardhead otherRestrictions no limitations otherRestrictions This resource is available under the terms of the Open Government Licence otherRestrictions While the classifications, training and accuracy assessment data, floral unit data and edited imagery all come under the UEA and University of Cambridge IPR, PhD partner Hutchinsons acquired the original 3cm and 7cm images and should be acknowledged accordingly. otherRestrictions If you reuse this data, you should cite: Barnsley, S.B., Lovett, A.A., Dicks, L.V. (2021). Multispectral airborne imagery and associated classifications, training data and validation data, for mapping nectar-rich floral resources for pollinators, Northamptonshire, UK 2020. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/cf68be0c-e969-4190-8ec6-abeedb51b42c grid vector 1 English utf8 biota environment 2019-05-15 2020-07-08 -0.824 -0.711 52.245 52.308 Comma-separated values (CSV) Shapefile TIFF NERC EDS Environmental Information Data Centre info@eidc.ac.uk distributor https://data-package.ceh.ac.uk/sd/cf68be0c-e969-4190-8ec6-abeedb51b42c.zip Supporting information Supporting information available to assist in re-use of this dataset information https://catalogue.ceh.ac.uk/datastore/eidchub/cf68be0c-e969-4190-8ec6-abeedb51b42c Download the data Download a copy of this data fileAccess dataset dataset Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services 2010-12-08 Multispectral data were acquired across red, green, blue and near-infrared bands on 28 March, 15 May and 4 July. Prior to imagery acquisition, 40X60cm boards that were visible within the imagery were established within the margins surrounding one field at our study farm. These were used as ground-control points to locate clusters of floral units within the margins. Ground-truth data (i.e. the locations of floral units) were gathered within 8 days of imagery acquisition. The company that acquired the multispectral data (Spectrum Aviation) carried out orthorectification and stitched individual images together into an orthomosaic. Data values were kept in a raw digital number format. Between July 2019 and February 2021, further image processing, e.g. clipping of the image and removal of irrelevant spectral bands was carried out in QGIS. During the same timeframe, ground-truth data were divided into data to be used for training the classifications and for carrying out independent accuracy assessments. The maximum likelihood classifications were applied to the imagery with different iterations applied each time, i.e. the training sets were tweaked to increase classification accuracies.