Intra-annual multi-temporal reflectance of 17 herbaceous species of chalk grassland using leaf-clip mounted on spectrometer
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Online Status: ONLINE
Publication State: Citable
Publication Date: 2022-05-03
DOI Publication Date: 2022-05-04
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A time-series of leaf-level optical hyperspectral reflectance captured using a leaf-clip and handheld spectrometer for 17 herbaceous species typical of chalk grassland habitat in Kent UK, over 13 sampling dates in 2021. Data were collected using a non-imaging spectrometer manufactured by Spectra-vista Corporation fitted with a leaf-clip; capturing reflectance from 350 - 2500nm. Funded by NERC Grant NE/L002566/1.
Citable as: Thornley, R.; Verhoef, A.; Gerard, F.; White, K. (2022): Intra-annual multi-temporal reflectance of 17 herbaceous species of chalk grassland using leaf-clip mounted on spectrometer. NERC EDS Centre for Environmental Data Analysis, 04 May 2022. doi:10.5285/8a798466b9f74b3da500004a94ee5fee. http://dx.doi.org/10.5285/8a798466b9f74b3da500004a94ee5fee
Abbreviation: Not defined
Keywords: hyperspectral, chalk, grassland
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|Previously used record identifiers:||
No related previous identifiers.
Public data: access to these data is available to both registered and non-registered users.
Use of these data is covered by the following licence: http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
Data was created by Rachael Thornley; no additional stages
Spectrometer had undergone recent calibration; spectralon panel used for radiometric calibration; leaf level reflectances are averages of 3 readings
Data are BADC-CSV formatted.
No documents related to this record were found.
This dataset was generated by instruments deployed on platforms as listed below.
|Spectra-vista Corporation Non-imaging spectrometer SVC HR1024i|
- long_name: 350-2500 reflectance in nm
- names: 350-2500 reflectance in nm
- long_name: Unique id of spectra
- names: Unique id of spectra
- long_name: date
- names: date
- long_name: day of year
- names: day of year
- long_name: instrument_name
- names: instrument_name
- long_name: leaf number
- names: leaf number
- long_name: species name latin
- names: species name latin
- long_name: species name short
- names: species name short