LINCOLN - an algorithm for filtering daily NDVI MODIS data and deriving the start of the season

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43210%2F15%3A43908698" target="_blank" >RIV/62156489:43210/15:43908698 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/67179843:_____/15:00455018 RIV/00216224:14310/15:00114966

Výsledek na webu

<a href="http://envimet.czechglobe.cz/files/present/akce/SbornikKonference.pdf" target="_blank" >http://envimet.czechglobe.cz/files/present/akce/SbornikKonference.pdf</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

LINCOLN - an algorithm for filtering daily NDVI MODIS data and deriving the start of the season

Popis výsledku v původním jazyce

Monitoring drought has become an important tool for farmers and agriculture decision makers. This has in-creased efforts to create a monitoring system using satellite data that could provide an independent and cur-rent source of real information on vegetation condition. The aim of this study was to develop an algorithm for processing Normalized Difference Vegetation Index (NDVI) data from the Moderate Resolution Imaging Spectroradiometer. A software utility called LINCOLN was developed for this purpose.Its filtering output was further processed to yield a start of the season (SOS) metric. Different settings of the utility were tested and correlated to such phenological ground observations as the emergence of spring barley and the beginning of leaf sheath elongation in winter wheat. There was higher correlation observed in the case of winter wheat, probably due to its weaker dependence on crop sowing date. The matrix of coefficients of determination was applied to determine the optimal

Název v anglickém jazyce

LINCOLN - an algorithm for filtering daily NDVI MODIS data and deriving the start of the season

Popis výsledku anglicky

Monitoring drought has become an important tool for farmers and agriculture decision makers. This has in-creased efforts to create a monitoring system using satellite data that could provide an independent and cur-rent source of real information on vegetation condition. The aim of this study was to develop an algorithm for processing Normalized Difference Vegetation Index (NDVI) data from the Moderate Resolution Imaging Spectroradiometer. A software utility called LINCOLN was developed for this purpose.Its filtering output was further processed to yield a start of the season (SOS) metric. Different settings of the utility were tested and correlated to such phenological ground observations as the emergence of spring barley and the beginning of leaf sheath elongation in winter wheat. There was higher correlation observed in the case of winter wheat, probably due to its weaker dependence on crop sowing date. The matrix of coefficients of determination was applied to determine the optimal

Druh

D - Stať ve sborníku

CEP obor

EH - Ekologie – společenstva

OECD FORD obor

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Projekt

<a href="/cs/project/EE2.3.20.0248" target="_blank" >EE2.3.20.0248: Vytvoření interdisciplinárního vědeckého týmu se zaměřením na výzkum sucha</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2015

Kód důvěrnosti údajů

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

Název statě ve sborníku

Global Change: a Complex Challenge

ISBN

978-80-87902-10-3

ISSN

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e-ISSN

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Počet stran výsledku

4

Strana od-do

42-45

Název nakladatele

Centrum výzkumu globální změny AV ČR, v.v.i.

Místo vydání

Brno

Místo konání akce

Brno

Datum konání akce

23. 3. 2015

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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