BGS Hosted Metadata
Multispectral airborne imagery and associated classifications, training data and validation data, for mapping nectar-rich floral resources for pollinators, Northamptonshire, UK 2020
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
Simple
- Date (Publication)
- 2021-07-26
- Citation identifier
- https://catalogue.ceh.ac.uk/id/cf68be0c-e969-4190-8ec6-abeedb51b42c
- Citation identifier
- doi: / 10.5285/cf68be0c-e969-4190-8ec6-abeedb51b42c
- Other citation details
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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
- Point of contact
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Organisation name Individual name Electronic mail address Role University of East Anglia Barnsley, S.B. Author University of East Anglia Lovett, A.A. Author University of Cambridge Dicks, L.V. Author University of East Anglia Barnsley, S. Point of contact NERC EDS Environmental Information Data Centre Custodian NERC EDS Environmental Information Data Centre Publisher University of East Anglia Owner University of Cambridge Owner
- Maintenance and update frequency
- Not planned
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GEMET - INSPIRE themes, version 1.0
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Land Cover
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Habitats and Biotopes
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- Access constraints
- Other restrictions
- Other constraints
- no limitations
- Use constraints
- Other restrictions
- Use constraints
- Other restrictions
- Other constraints
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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.
- Use constraints
- Other restrictions
- Other constraints
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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
- Spatial representation type
- Grid
- Spatial representation type
- Vector
- Distance
- 1 urn:ogc:def:uom:EPSG::9001
- Language
- English
- Character set
- UTF8
- Topic category
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- Biota
- Environment
- Begin date
- 2019-05-15
- End date
- 2020-07-08
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- Unique resource identifier
- OSGB 1936 / British National Grid
- Distribution format
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Name Version Comma-separated values (CSV)
Shapefile
TIFF
- Distributor contact
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Organisation name Individual name Electronic mail address Role NERC EDS Environmental Information Data Centre
Distributor
- OnLine resource
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Protocol Linkage Name https://data-package.ceh.ac.uk/sd/cf68be0c-e969-4190-8ec6-abeedb51b42c.zip Supporting information
- OnLine resource
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Protocol Linkage Name https://catalogue.ceh.ac.uk/datastore/eidchub/cf68be0c-e969-4190-8ec6-abeedb51b42c Download the data
- Hierarchy level
- Dataset
- Other
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dataset
Conformance result
- Title
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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
- Date (Publication)
- 2010-12-08
- Statement
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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.
Metadata
- File identifier
- cf68be0c-e969-4190-8ec6-abeedb51b42c XML
- Metadata language
- English
- Character set
- 8859 Part 1
- Hierarchy level
- Dataset
- Hierarchy level name
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dataset
- Date stamp
- 2025-03-21T09:39:24
- Metadata standard name
- UK GEMINI
- Metadata standard version
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2.3
- Metadata author
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Organisation name Individual name Electronic mail address Role NERC EDS Environmental Information Data Centre Point of contact
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