Seasonal spectral separability of selected grasses: Case study from the Krkonoše Mts. tundra ecosystem

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11310%2F20%3A10416615" target="_blank" >RIV/00216208:11310/20:10416615 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-371-2020" target="_blank" >https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-371-2020</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.5194/isprs-archives-XLIII-B3-2020-371-2020" target="_blank" >10.5194/isprs-archives-XLIII-B3-2020-371-2020</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Seasonal spectral separability of selected grasses: Case study from the Krkonoše Mts. tundra ecosystem

Popis výsledku v původním jazyce

This paper focuses on spectral separability of closed alpine grasslands dominated with Nardus stricta and competitive grasses Calamagrostis villosa and Molinia caerulea in the relict arctic-alpine tundra located in the Krkonoše Mountains National Park, Czech Republic. The spectral data were acquired and compared at three levels: spectra of a single layer of leaves measured with the ASD FieldSpec4 Wide-Res spectroradiometer coupled with a contact probe in a laboratory (leaf level), canopy spectra measured in a field with the same spectroradiometer using the fiber optic cable with a pistol grip (canopy level), and hyperspectral image data acquired by Nano-Hyperspec(R) fastened to the DJI Matrice 600 Pro drone (image level). All the measurements were repeated three times during the 2019 vegetation season - in June, July and August. Using the methods of analysis of variance and Welch&apos;s (unpaired) t-test, it was proven that there were differences in the results for all three spectra sources. But in general, for each combination of species and each data source a suitable date and intervals of the spectral bands for species separation exist. The most suitable term for data acquisition in order to differentiate all the species is July. At the leaf level, the best species separability was observed in the near-infrared and shortwave infrared spectral ranges. At the canopy and image levels, the visible bands are of higher importance for discriminating the species.

Název v anglickém jazyce

Seasonal spectral separability of selected grasses: Case study from the Krkonoše Mts. tundra ecosystem

Popis výsledku anglicky

This paper focuses on spectral separability of closed alpine grasslands dominated with Nardus stricta and competitive grasses Calamagrostis villosa and Molinia caerulea in the relict arctic-alpine tundra located in the Krkonoše Mountains National Park, Czech Republic. The spectral data were acquired and compared at three levels: spectra of a single layer of leaves measured with the ASD FieldSpec4 Wide-Res spectroradiometer coupled with a contact probe in a laboratory (leaf level), canopy spectra measured in a field with the same spectroradiometer using the fiber optic cable with a pistol grip (canopy level), and hyperspectral image data acquired by Nano-Hyperspec(R) fastened to the DJI Matrice 600 Pro drone (image level). All the measurements were repeated three times during the 2019 vegetation season - in June, July and August. Using the methods of analysis of variance and Welch&apos;s (unpaired) t-test, it was proven that there were differences in the results for all three spectra sources. But in general, for each combination of species and each data source a suitable date and intervals of the spectral bands for species separation exist. The most suitable term for data acquisition in order to differentiate all the species is July. At the leaf level, the best species separability was observed in the near-infrared and shortwave infrared spectral ranges. At the canopy and image levels, the visible bands are of higher importance for discriminating the species.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10508 - Physical geography

Projekt

<a href="/cs/project/LTAUSA18154" target="_blank" >LTAUSA18154: Hodnocení funkce ekosystémů na základě sledování kvantitativních parametrů vegetace z dat dálkového průzkumu Země vysokého prostorového, spektrálního a časového rozlišení</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2020

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

ISBN

—

ISSN

2194-9034

e-ISSN

—

Počet stran výsledku

6

Strana od-do

371-376

Název nakladatele

International Society for Photogrammetry and Remote Sensing

Místo vydání

—

Místo konání akce

on-line, Nice, France

Datum konání akce

31. 8. 2020

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—