DETERMINATION OF CHLOROPHYLL CONTENT IN SELECTED GRASS COMMUNITIES OF KRKONOŠE MTS. TUNDRA BASED ON LABORATORY SPECTROSCOPY AND AERIAL HYPERSPECTRAL DATA

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dc.contributor.authorČervená, L.
dc.contributor.authorPinlová, G.
dc.contributor.authorLhotáková, Z.
dc.contributor.authorNeuwirthová, E.
dc.contributor.authorKupková, L.
dc.contributor.authorPotůčková, M.
dc.contributor.authorLysák, J.
dc.contributor.authorCampbell, Petya Entcheva
dc.contributor.authorAlbrechtová, J.
dc.date.accessioned2022-06-28T20:37:28Z
dc.date.available2022-06-28T20:37:28Z
dc.date.issued2022-05-30
dc.descriptionThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLIII-B3-2022 XXIV ISPRS Congress (2022 edition), 6–11 June 2022, Nice, Franceen_US
dc.description.abstractThe study focuses on the determination of chlorophyll content in four prevailing grasses in the relict arctic-alpine tundra located in the Krkonoše Mountains National Park, Czech Republic. We compared two methods for determination of leaf chlorophyll content (LCC) – spectrophotometric determination in the laboratory, and the LCC assessed by fluorescence portable chlorophyll meter CCM-300. Relationships were established between the LCCs and vegetation indices calculated from leaf spectra acquired with contact probe coupled with an ASD FieldSpec4 Wide-Res spectroradiometer. Canopy chlorophyll contents (CCC) were computed from the LCCs and green leaf area index (LAI), and modelled based on the field spectra measured by the spectroradiometer and the hyperspectral images acquired by Headwall Nano-Hyperspec® mounted on the DJI Matrice 600 Pro drone. The calculations are performed on datasets acquired in June, July and August 2020 together and separately for species and months. In general, the correlations based on June datasets work the best at both levels: median R2 for all indices was 0.52 for all species together at leaf level and median R2 = 0.47 at the canopy level (vegetation indices computed from field spectra). Canopy chlorophyll content map was created based on the results of stepwise multiple linear regression. The R2 was 0.42 when using four wavelengths from the red and red edge spectral region. We attribute the weak model performance to a combination of several factors: leaf structure may bias LCC from laboratory measurements, effects of LAI variability on CCC, and the sampling design, probably not covering the whole phenology equally for all studied species.en_US
dc.description.sponsorshipThis research was made possible by Ministry of Education of the Czech Republic, project LTAUSA18154: Assessment of ecosystem function based on Earth observation of vegetation quantitative parameters retrieved from data with high spatial, spectral and temporal resolution. Thanks belong to all students helping with field sampling and laboratory work and to Msc. Lena Hunt for providing microscopic images of grass leaves.en_US
dc.description.urihttps://doi.org/10.5194/isprs-archives-XLIII-B3-2022-381-2022en_US
dc.format.extent9 pagesen_US
dc.genreconference papers and proceedingsen_US
dc.identifierdoi:10.13016/m2wjpa-mryq
dc.identifier.citation"Červená, L et al. DETERMINATION OF CHLOROPHYLL CONTENT IN SELECTED GRASS COMMUNITIES OF KRKONOŠE MTS. TUNDRA BASED ON LABORATORY SPECTROSCOPY AND AERIAL HYPERSPECTRAL DATA. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLIII-B3-2022 XXIV ISPRS Congress (2022 edition), 6–11 June 2022, Nice, France. https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-381-2022, "en_US
dc.identifier.urihttps://doi.org/10.5194/isprs-archives-XLIII-B3-2022-381-2022
dc.identifier.urihttp://hdl.handle.net/11603/25079
dc.language.isoen_USen_US
dc.publisherCopernicusen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Joint Center for Earth Systems Technology
dc.relation.ispartofUMBC Faculty Collection
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.en_US
dc.rightsAttribution 4.0 International (CC BY 4.0)*
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/*
dc.titleDETERMINATION OF CHLOROPHYLL CONTENT IN SELECTED GRASS COMMUNITIES OF KRKONOŠE MTS. TUNDRA BASED ON LABORATORY SPECTROSCOPY AND AERIAL HYPERSPECTRAL DATAen_US
dc.typeTexten_US
dcterms.creatorhttps://orcid.org/0000-0002-0505-4951en_US

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