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Tundra Plant Leaf-level Spectral Reflectance and Chlorophyll Fluorescence, 2019-2021

Metadata Updated: December 7, 2023

This dataset provides leaf-level visible-near infrared spectral reflectance, chlorophyll fluorescence spectra, species, plant functional type (PFT), and chlorophyll content of common high latitude plant samples collected near Fairbanks, Utqiagvik, and Toolik, Alaska, U.S., during the summers of 2019, 2020, and 2021. A FluoWat leaf clip was used to measure leaf-level visible-near infrared spectral reflectance and chlorophyll fluorescence spectra. Fluorescence yield (Fyield) was calculated as the ratio of the emitted fluorescence divided by the absorbed radiation for the wavelengths from 400 nm up to the wavelength of the cut off for the FluoWat low pass filter (either 650 or 700 nm). Chlorophyll content of samples was measured using a CCM-300 Chlorophyll Content. The data are provided in comma-separated values (.csv) format.

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

Downloads & Resources

Dates

Metadata Created Date December 1, 2022
Metadata Updated Date December 7, 2023

Metadata Source

Harvested from NASA Data.json

Graphic Preview

Schematic of FluoWat leaf clip operation for measuring leaf reflectance, transmittance, and upward and downward fluorescence (SIF). The leaf is placed in the clip and illuminated through the open port (A). Reflected and transmitted radiance are measured by attaching a fiber optic cable from the spectrometer to the top or bottom of the clip. To measure fluorescence spectra a low pass filter is placed across the illumination port (B). Two filters are applied in sequence, they block incident wavelengths above 650 nm and 700 nm, therefore any radiance measured in the longer wavelengths can come only from fluorescence. Source: Van Wittenberghe et al. (2015)

Additional Metadata

Resource Type Dataset
Metadata Created Date December 1, 2022
Metadata Updated Date December 7, 2023
Publisher ORNL_DAAC
Maintainer
Identifier C2262495547-ORNL_CLOUD
Data First Published 2022-04-30
Language en-US
Data Last Modified 2023-06-12
Category ABoVE, geospatial
Public Access Level public
Bureau Code 026:00
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://data.nasa.gov/data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Citation Huemmrich, K.F., and P.K. Campbell. 2022. Tundra Plant Leaf-level Spectral Reflectance and Chlorophyll Fluorescence, 2019-2021. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/2005
Graphic Preview Description Schematic of FluoWat leaf clip operation for measuring leaf reflectance, transmittance, and upward and downward fluorescence (SIF). The leaf is placed in the clip and illuminated through the open port (A). Reflected and transmitted radiance are measured by attaching a fiber optic cable from the spectrometer to the top or bottom of the clip. To measure fluorescence spectra a low pass filter is placed across the illumination port (B). Two filters are applied in sequence, they block incident wavelengths above 650 nm and 700 nm, therefore any radiance measured in the longer wavelengths can come only from fluorescence. Source: Van Wittenberghe et al. (2015)
Graphic Preview File https://daac.ornl.gov/ABOVE/guides/Tundra_Leaf_Spectra_Fig1.png
Harvest Object Id 52be808e-0031-4e94-a9ee-bb0abb41d697
Harvest Source Id 58f92550-7a01-4f00-b1b2-8dc953bd598f
Harvest Source Title NASA Data.json
Homepage URL https://doi.org/10.3334/ORNLDAAC/2005
Metadata Type geospatial
Old Spatial -156.6 64.83 -147.81 71.31
Program Code 026:001
Source Datajson Identifier True
Source Hash 25bb65a96bda729978ff118fb32323c944f440f99f134a551d6f2e72fcfba495
Source Schema Version 1.1
Spatial
Temporal 2019-07-19T00:00:00Z/2021-09-30T23:59:59Z

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