Seasonal spectral separability of selected grasses: Case study from the Krkonoše Mts. tundra ecosystem
The result's identifiers
Result code in 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>
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
Seasonal spectral separability of selected grasses: Case study from the Krkonoše Mts. tundra ecosystem
Original language description
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'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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10508 - Physical geography
Result continuities
Project
<a href="/en/project/LTAUSA18154" target="_blank" >LTAUSA18154: Assessment of ecosystem function based on Earth observation of vegetation quantitative parameters retrieved from data with high spatial, spectral and temporal resolution</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
ISBN
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ISSN
2194-9034
e-ISSN
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Number of pages
6
Pages from-to
371-376
Publisher name
International Society for Photogrammetry and Remote Sensing
Place of publication
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Event location
on-line, Nice, France
Event date
Aug 31, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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