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%2F00216224%3A14310%2F15%3A00114966" target="_blank" >RIV/00216224:14310/15:00114966 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/67179843:_____/15:00455018 RIV/62156489:43210/15:43908698

Výsledek na webu

<a href="https://www.researchgate.net/publication/306012052_LINCOLN_-_an_algorithm_for_filtering_daily_NDVI_MODIS_data_and_deriving_the_start_of_the_season" target="_blank" >https://www.researchgate.net/publication/306012052_LINCOLN_-_an_algorithm_for_filtering_daily_NDVI_MODIS_data_and_deriving_the_start_of_the_season</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 increased efforts to create a monitoring system using satellite data that could provide an independent and current 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 settings for the LINCOLN filter. The optimal absolute threshold NDVI value for SOS was set to 4,500.

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 increased efforts to create a monitoring system using satellite data that could provide an independent and current 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 settings for the LINCOLN filter. The optimal absolute threshold NDVI value for SOS was set to 4,500.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

10509 - Meteorology and atmospheric sciences

Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

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

9788087902103

ISSN

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e-ISSN

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Počet stran výsledku

4

Strana od-do

42-45

Název nakladatele

Global Change Research Centre AS CR, v.v.i., Bělidla 986/4a, 603 00 Brno, Czech Republic

Místo vydání

Brno

Místo konání akce

Brno

Datum konání akce

23. 3. 2015

Typ akce podle státní příslušnosti

CST - Celostátní akce

Kód UT WoS článku

000381161600009