Multispectral airborne imagery and associated classifications, training data and validation data, for mapping nectar-rich floral resources for pollinators, Northamptonshire, UK 2020

[This dataset is embargoed until September 15, 2022]. 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

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Identification info

Metadata Language
English (en)
Character set
utf8
Dataset Reference Date ()
2021-07-26
Identifier
https://catalogue.ceh.ac.uk/id/cf68be0c-e969-4190-8ec6-abeedb51b42c
Identifier
doi: / 10.5285/cf68be0c-e969-4190-8ec6-abeedb51b42c
Other citation details
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
  University of East Anglia - Barnsley, S.B.
  University of East Anglia - Lovett, A.A.
  University of Cambridge - Dicks, L.V.
  University of East Anglia - Barnsley, S.
  NERC EDS Environmental Information Data Centre
  NERC EDS Environmental Information Data Centre
  University of East Anglia
  University of Cambridge
Maintenance and update frequency
notPlanned
GEMET - INSPIRE themes, version 1.0 ()
  • Land Cover
  • Habitats and Biotopes
Wikidata
Keywords
Limitations on Public Access
otherRestrictions
Other constraints
no limitations
Use constraints
otherRestrictions
Other constraints
This resource is available under the terms of the Open Government Licence
Use constraints
otherRestrictions
Other constraints
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
otherRestrictions
Other constraints
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
Topic category
  • Biota
  • Environment
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S
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W


Begin date
2019-05-15
End date
2020-07-08
 
Code
OSGB 1936 / British National Grid

Distribution Information

Data format
  • Comma-separated values (CSV) ()

  • Shapefile ()

  • TIFF ()

 
Quality Scope
dataset
Other
dataset

Report

Dataset Reference Date ()
2010-12-08
Statement

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 (en)
Character set
ISO/IEC 8859-1 (also known as Latin 1)
Resource type
dataset
Hierarchy level name
dataset
Metadata Date
2021-07-28T09:26:37
Metadata standard name
UK GEMINI
Metadata standard version
2.3
  Environmental Information Data Centre
Lancaster Environment Centre, Library Avenue, Bailrigg , Lancaster , LA1 4AP , UK
 
 

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