Hyperspectral data for classification of selected vegetation species above tree-line in the Krkonoše mts. National Park

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11310%2F14%3A10292222" target="_blank" >RIV/00216208:11310/14:10292222 - isvavai.cz</a>

Výsledek na webu

<a href="http://www.earsel.org/symposia/2014-symposium-Warsaw/pdf_proceedings/EARSeL-Symposium-2014_5_1_sucha.pdf" target="_blank" >http://www.earsel.org/symposia/2014-symposium-Warsaw/pdf_proceedings/EARSeL-Symposium-2014_5_1_sucha.pdf</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.12760/03-2014-10" target="_blank" >10.12760/03-2014-10</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Hyperspectral data for classification of selected vegetation species above tree-line in the Krkonoše mts. National Park

Popis výsledku v původním jazyce

The paper is focused on the classification of vegetation above the treeline in the Krkonoše Mts. National Park (KRNAP) using hyperspectral data (APEX). The vegetation above tree-line (altitude above 1350 m) is the unique ecosystem which is characterized by mosaic of subalpine meadows with Nardus stricta and Pinus mugo growths, subalpine peat-bog, rocks and another areas of the lichen tundra in the highest parts in the Krkonoše Mts. Studying of Pinus mugo and competitive strong grasses (Molinia caerulea and Calamagrostis villosa) expansion to the original meadows with Nardus stricta is very important issue for environmental protection. The aim of this study is to classify two species Nardus stricta and Calluna vulgaris spatial distribution in the western part of tundra in the Krkonoše Mts. National Park. Different classification methods (e.g. support vector machine, spectral information divergence or spectral angle mapper) are used and evaluated. The goal is to find best classification method providing the most accurate outputs. The detailed abundance maps of Nardus stricta and Calluna vulgaris are also produced.

Název v anglickém jazyce

Hyperspectral data for classification of selected vegetation species above tree-line in the Krkonoše mts. National Park

Popis výsledku anglicky

The paper is focused on the classification of vegetation above the treeline in the Krkonoše Mts. National Park (KRNAP) using hyperspectral data (APEX). The vegetation above tree-line (altitude above 1350 m) is the unique ecosystem which is characterized by mosaic of subalpine meadows with Nardus stricta and Pinus mugo growths, subalpine peat-bog, rocks and another areas of the lichen tundra in the highest parts in the Krkonoše Mts. Studying of Pinus mugo and competitive strong grasses (Molinia caerulea and Calamagrostis villosa) expansion to the original meadows with Nardus stricta is very important issue for environmental protection. The aim of this study is to classify two species Nardus stricta and Calluna vulgaris spatial distribution in the western part of tundra in the Krkonoše Mts. National Park. Different classification methods (e.g. support vector machine, spectral information divergence or spectral angle mapper) are used and evaluated. The goal is to find best classification method providing the most accurate outputs. The detailed abundance maps of Nardus stricta and Calluna vulgaris are also produced.

Druh

D - Stať ve sborníku

CEP obor

DE - Zemský magnetismus, geodesie, geografie

OECD FORD obor

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Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2014

Kód důvěrnosti údajů

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

Název statě ve sborníku

EARSeL 34th Symposium Proceedings

ISBN

978-83-63245-65-8

ISSN

—

e-ISSN

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Počet stran výsledku

9

Strana od-do

51-59

Název nakladatele

EARSeL and University of Warsaw

Místo vydání

Varšava

Místo konání akce

Varšava. Polsko

Datum konání akce

16. 6. 2014

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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