FIELD SPECTROSCOPY FOR VEGETATION EVALUATION ALONG THE NUTRIENT AND ELEVATION GRADIENT ABOVE THE TREE LINE IN THE KRKONOŠE MOUNTAINS NATIONAL PARK
This paper examines the relations between vegetation spectra measured in the field along the nutrient and elevation gradient in the most valuable parts of The Krkonoše Mountains tundra and selected parameters describing vegetation state and condition (fAPAR, plant cover and average vegetation height...
Published in: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
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Online Access: | https://doi.org/10.5194/isprs-archives-XLI-B6-211-2016 https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B6/211/2016/ |
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ftcopernicus:oai:publications.copernicus.org:isprs-archives52960 2023-05-15T18:40:30+02:00 FIELD SPECTROSCOPY FOR VEGETATION EVALUATION ALONG THE NUTRIENT AND ELEVATION GRADIENT ABOVE THE TREE LINE IN THE KRKONOŠE MOUNTAINS NATIONAL PARK Červená, L. Kupková, L. Suchá, R. 2018-01-15 application/pdf https://doi.org/10.5194/isprs-archives-XLI-B6-211-2016 https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B6/211/2016/ eng eng doi:10.5194/isprs-archives-XLI-B6-211-2016 https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B6/211/2016/ eISSN: 2194-9034 Text 2018 ftcopernicus https://doi.org/10.5194/isprs-archives-XLI-B6-211-2016 2019-12-24T09:52:16Z This paper examines the relations between vegetation spectra measured in the field along the nutrient and elevation gradient in the most valuable parts of The Krkonoše Mountains tundra and selected parameters describing vegetation state and condition (fAPAR, plant cover and average vegetation height). The main goal was to find relations and indices based on spectral measurements that could be used for vegetation evaluation and classification in practice and management. The vegetation parameters and spectral properties were also compared for two datasets – one acquired in July and second in August 2015. The best correlations were obtained for plant cover (R 2 above 0.8 for July dataset and above 0.7 for August dataset) and two types of indices – using the wavelengths of red edge, e.g. OSAVI or mND705, and indices for vegetation water content estimates using the wavelengths in shortwave infrared region of the spectra in combination with wavelengths above 800 nm, e. g. NDII. The worst results were found for fAPAR with maximal values of R 2 just above 0.4 with the indices using the wavelengths around 700 nm. For vegetation height the results differ between July and August data – R 2 around 0.62 in July and only 0.47 in August for vegetation indices using the wavelengths of visible and red edge regions. Text Tundra Copernicus Publications: E-Journals The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B6 211 214 |
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Open Polar |
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Copernicus Publications: E-Journals |
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ftcopernicus |
language |
English |
description |
This paper examines the relations between vegetation spectra measured in the field along the nutrient and elevation gradient in the most valuable parts of The Krkonoše Mountains tundra and selected parameters describing vegetation state and condition (fAPAR, plant cover and average vegetation height). The main goal was to find relations and indices based on spectral measurements that could be used for vegetation evaluation and classification in practice and management. The vegetation parameters and spectral properties were also compared for two datasets – one acquired in July and second in August 2015. The best correlations were obtained for plant cover (R 2 above 0.8 for July dataset and above 0.7 for August dataset) and two types of indices – using the wavelengths of red edge, e.g. OSAVI or mND705, and indices for vegetation water content estimates using the wavelengths in shortwave infrared region of the spectra in combination with wavelengths above 800 nm, e. g. NDII. The worst results were found for fAPAR with maximal values of R 2 just above 0.4 with the indices using the wavelengths around 700 nm. For vegetation height the results differ between July and August data – R 2 around 0.62 in July and only 0.47 in August for vegetation indices using the wavelengths of visible and red edge regions. |
format |
Text |
author |
Červená, L. Kupková, L. Suchá, R. |
spellingShingle |
Červená, L. Kupková, L. Suchá, R. FIELD SPECTROSCOPY FOR VEGETATION EVALUATION ALONG THE NUTRIENT AND ELEVATION GRADIENT ABOVE THE TREE LINE IN THE KRKONOŠE MOUNTAINS NATIONAL PARK |
author_facet |
Červená, L. Kupková, L. Suchá, R. |
author_sort |
Červená, L. |
title |
FIELD SPECTROSCOPY FOR VEGETATION EVALUATION ALONG THE NUTRIENT AND ELEVATION GRADIENT ABOVE THE TREE LINE IN THE KRKONOŠE MOUNTAINS NATIONAL PARK |
title_short |
FIELD SPECTROSCOPY FOR VEGETATION EVALUATION ALONG THE NUTRIENT AND ELEVATION GRADIENT ABOVE THE TREE LINE IN THE KRKONOŠE MOUNTAINS NATIONAL PARK |
title_full |
FIELD SPECTROSCOPY FOR VEGETATION EVALUATION ALONG THE NUTRIENT AND ELEVATION GRADIENT ABOVE THE TREE LINE IN THE KRKONOŠE MOUNTAINS NATIONAL PARK |
title_fullStr |
FIELD SPECTROSCOPY FOR VEGETATION EVALUATION ALONG THE NUTRIENT AND ELEVATION GRADIENT ABOVE THE TREE LINE IN THE KRKONOŠE MOUNTAINS NATIONAL PARK |
title_full_unstemmed |
FIELD SPECTROSCOPY FOR VEGETATION EVALUATION ALONG THE NUTRIENT AND ELEVATION GRADIENT ABOVE THE TREE LINE IN THE KRKONOŠE MOUNTAINS NATIONAL PARK |
title_sort |
field spectroscopy for vegetation evaluation along the nutrient and elevation gradient above the tree line in the krkonoše mountains national park |
publishDate |
2018 |
url |
https://doi.org/10.5194/isprs-archives-XLI-B6-211-2016 https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B6/211/2016/ |
genre |
Tundra |
genre_facet |
Tundra |
op_source |
eISSN: 2194-9034 |
op_relation |
doi:10.5194/isprs-archives-XLI-B6-211-2016 https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B6/211/2016/ |
op_doi |
https://doi.org/10.5194/isprs-archives-XLI-B6-211-2016 |
container_title |
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
container_volume |
XLI-B6 |
container_start_page |
211 |
op_container_end_page |
214 |
_version_ |
1766229867341283328 |