Evaluation of bare soil variability from Remote Sensing data

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43210%2F13%3A00210103" target="_blank" >RIV/62156489:43210/13:00210103 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/62156489:43410/13:00210103

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Evaluation of bare soil variability from Remote Sensing data

Popis výsledku v původním jazyce

Main goal of the paper is to capture, examine and evaluate the variability of soils within each soil blocks with the use of digital records of remote sensing (RS). The evaluation was performed at the South Moravian Region with a total area of 1,100 km2.RapidEye satellite images of the 2012 and borders of land blocks from iLPIS were used for this study. The first step was a selection of bare arable land through polygons of arable land from the system iLpis and pixels of arable land obtained through standard differential vegetation index (NDVI). An image classification was performed on these grounds in order to create class of information describing the spectrum of surfaces forming the bare soils. To classifications were included areas of bare soul withpixel count higher or equal to 50% of the original number of pixels of bare soils in areas selected through data from the system iLpis. A coefficient of variation was used to rate variability. Information and the best images as far as fo

Název v anglickém jazyce

Evaluation of bare soil variability from Remote Sensing data

Popis výsledku anglicky

Main goal of the paper is to capture, examine and evaluate the variability of soils within each soil blocks with the use of digital records of remote sensing (RS). The evaluation was performed at the South Moravian Region with a total area of 1,100 km2.RapidEye satellite images of the 2012 and borders of land blocks from iLPIS were used for this study. The first step was a selection of bare arable land through polygons of arable land from the system iLpis and pixels of arable land obtained through standard differential vegetation index (NDVI). An image classification was performed on these grounds in order to create class of information describing the spectrum of surfaces forming the bare soils. To classifications were included areas of bare soul withpixel count higher or equal to 50% of the original number of pixels of bare soils in areas selected through data from the system iLpis. A coefficient of variation was used to rate variability. Information and the best images as far as fo

Druh

D - Stať ve sborníku

CEP obor

DF - Pedologie

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2013

Kód důvěrnosti údajů

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

Název statě ve sborníku

MendelNet 2013 - Proceedings of International PhD Students Conference

ISBN

978-80-7375-908-7

ISSN

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e-ISSN

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Počet stran výsledku

6

Strana od-do

114-119

Název nakladatele

Mendel University in Brno, Zemedelska 1, 613 00 Brno, Czech Republic

Místo vydání

Faculty of Agronomy

Místo konání akce

Mendelova univerzita v Brně

Datum konání akce

20. 11. 2013

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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