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Potential of the sentinel-2 red edge spectral bands for estimation of eco-physiological plant parameters
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SYSNO ASEP 0468585 Druh ASEP C - Konferenční příspěvek (mezinárodní konf.) Zařazení RIV D - Článek ve sborníku Název Potential of the sentinel-2 red edge spectral bands for estimation of eco-physiological plant parameters Tvůrce(i) Malenovský, Zbyněk (UEK-B) ORCID
Homolová, Lucie (UEK-B) RID, ORCID, SAI
Janoutová, Růžena (UEK-B) RID, ORCID, SAI
Landier, L. (DE)
Gastelluetchegorry, J-P. (DE)
Bertholt, B. (FR)
Huck, A. (FR)Celkový počet autorů 7 Zdroj.dok. Proceedings of Living Planet Symposium 2016, ESA.SP-740. - Nordwijk : European Space Agency (ESA), 2016 / Ouwehand L. - ISSN 1609-042X - ISBN 978-92-9221-305-3 Poč.str. 7 s. Forma vydání Online - E Akce Living Planet Symposium 2016 Datum konání 09.05.2016 - 13.05.2016 Místo konání Praha Země CZ - Česká republika Typ akce WRD Jazyk dok. eng - angličtina Země vyd. CZ - Česká republika Klíč. slova canopy chlorophyll ; image acquisition ; physiological models ; high spatial resolution ; vegetation cabioy ; agricultural fields ; leaf chlorophyll content ; multispectral images ; space-borne instruments ; support vector regression (SVR) ; vegetation canopy Vědní obor RIV EH - Ekologie - společenstva CEP LO1415 GA MŠMT - Ministerstvo školství, mládeže a tělovýchovy Institucionální podpora RVO:67179843 - RVO:67179843 EID SCOPUS 84988472517 Anotace In this study we investigated importance of the spaceborne instrument Sentinel-2 red edge spectral bands and reconstructed red edge position (REP) for retrieval of the three eco-physiological plant parameters, leaf and canopy chlorophyll content and leaf area index (LAI), in case of maize agricultural fields and beech and spruce forest stands. Sentinel-2 spectral bands and REP of the investigated vegetation canopies were simulated in the Discrete Anisotropic Radiative Transfer (DART) model. Their potential for estimation of the plant parameters was assessed through training support vector regressions (SVR) and examining their P-vector matrices indicatingsignificance of each input. The trained SVR were then applied on Sentinel-2 simulated images and the acquired
estimates were cross-compared with results from high spatial resolution airborne retrievals. Results showed that contribution of REP was significant for canopy chlorophyll content, but less significant for leaf chlorophyll content and insignificant for leaf area index estimations. However, the red edge spectral bands contributed strongly to the retrievals of all parameters, especially canopy and leaf chlorophyll content. Application of SVR on Sentinel-2 simulated images demonstrated, in general, an overestimation of leaf chlorophyll content and an underestimation of LAI when compared to the reciprocal airborne estimates. In the follow-up investigation, we will apply the trained SVR algorithms on real Sentinel-2 multispectral images acquired during vegetation seasons 2015 and 2016.Pracoviště Ústav výzkumu globální změny Kontakt Nikola Šviková, svikova.n@czechglobe.cz, Tel.: 511 192 268 Rok sběru 2017
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