The use of vegetation indices in the evaluation of vegetation phenology based on MERIS data: the Czech Republic case study
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11310%2F15%3A10312670" target="_blank" >RIV/00216208:11310/15:10312670 - isvavai.cz</a>
Výsledek na webu
<a href="http://dx.doi.org/10.14712/23361980.2015.90" target="_blank" >http://dx.doi.org/10.14712/23361980.2015.90</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.14712/23361980.2015.90" target="_blank" >10.14712/23361980.2015.90</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
The use of vegetation indices in the evaluation of vegetation phenology based on MERIS data: the Czech Republic case study
Popis výsledku v původním jazyce
This article focuses on utilization of vegetation indices for vegetation phenology analysis based on multitemporal MERIS data. The model data set contained imagery acquired during the vegetation season of the year 2009 and it covered most of the area ofthe Czech Republic. Databases LPIS and GlobCover were used for spatial delimitation of the observed vegetation types. Firstly, a methodology of processing multitemporal MERIS data for atmospheric and geometric corrections is presented. The main part deals with the evaluation of spectral characteristic of the forest species and agricultural crops by means of vegetation indices. Results showed that the MTCI index is well related to the changes of chlorophyll concentration and it is a suitable measure forchlorophyll estimation from MERIS data. Indices fCover and LAI are very sensitive to the quantity of vegetation cover (biomass). Perspectives of the research regarding the planned missions of the satellites Sentinel 2 and Sentinel 3 are g
Název v anglickém jazyce
The use of vegetation indices in the evaluation of vegetation phenology based on MERIS data: the Czech Republic case study
Popis výsledku anglicky
This article focuses on utilization of vegetation indices for vegetation phenology analysis based on multitemporal MERIS data. The model data set contained imagery acquired during the vegetation season of the year 2009 and it covered most of the area ofthe Czech Republic. Databases LPIS and GlobCover were used for spatial delimitation of the observed vegetation types. Firstly, a methodology of processing multitemporal MERIS data for atmospheric and geometric corrections is presented. The main part deals with the evaluation of spectral characteristic of the forest species and agricultural crops by means of vegetation indices. Results showed that the MTCI index is well related to the changes of chlorophyll concentration and it is a suitable measure forchlorophyll estimation from MERIS data. Indices fCover and LAI are very sensitive to the quantity of vegetation cover (biomass). Perspectives of the research regarding the planned missions of the satellites Sentinel 2 and Sentinel 3 are g
Klasifikace
Druh
J<sub>x</sub> - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
CEP obor
DE - Zemský magnetismus, geodesie, geografie
OECD FORD obor
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Návaznosti výsledku
Projekt
<a href="/cs/project/GA13-16084S" target="_blank" >GA13-16084S: Sociální a ekonomické hybné síly ztrát zemědělské půdy v Česku po roce 1990 z regionálního pohledu</a><br>
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2015
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Acta Universitatis Carolinae, Geographica
ISSN
0300-5402
e-ISSN
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Svazek periodika
50
Číslo periodika v rámci svazku
1
Stát vydavatele periodika
CZ - Česká republika
Počet stran výsledku
10
Strana od-do
101-110
Kód UT WoS článku
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EID výsledku v databázi Scopus
2-s2.0-84934297652