Vegetation Phenology in Central Asia by the Means of Remote
Sensing

D 2013

Vegetation Phenology in Central Asia by the Means of Remote Sensing

BOHOVIC, Roman a Petr DOBROVOLNÝ

Základní údaje

Originální název

Vegetation Phenology in Central Asia by the Means of Remote Sensing

Autoři

BOHOVIC, Roman a Petr DOBROVOLNÝ

Vydání

Brno, Global Change and Resilience From Impacts To Responses, 2013

Nakladatel

Global Change Research Centre, AS CR, v. v. i.

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Stát vydavatele

Česká republika

Utajení

není předmětem státního či obchodního tajemství

Označené pro přenos do RIV

Organizační jednotka

Přírodovědecká fakulta

ISBN

978-80-904351-9-3

Klíčová slova anglicky

Central Asia, phenology, NDVI, remote sensing

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 13. 3. 2014 11:33, Mgr. Bc. Roman Bohovic, Ph.D.

Anotace

V originále

Analyses of phenological parameters can be used as indicators for climate change. Vice versa, diff erent climate conditions drive changes in the vegetation cycle that could be monitored on a time series of satellite images. For the assessment of vegetation dynamics on a regional scale remote sensing is the only method that can provide this information and at the same time which has the potential for continuous monitoring over long time spans. The most widely used indicator connected to vegetation activity is the Normalized Diff erence Vegetation Index (NDVI), which can be used for the calculation of diff erent parameters of phenology. For fi ltering time series and deriving phenology indices TIMESAT soft ware is used. Phenology data were produced for the whole of Central Asia for 30 years (1982–2011) using NOAA AVHRR GIMMS 8km datasets with a spatial resolution of 8 km. These data have been analyzed and patterns of vegetation phenology described. The dynamics over the past 30 years in Central Asia have been investigated. Consequently, impacts of climate change on phenology and means of its possible prediction are discussed.

Citovat

BOHOVIC, Roman a Petr DOBROVOLNÝ. Vegetation Phenology in Central Asia by the Means of Remote Sensing. In Robert Stojanov, Zdeněk Žalud, Pavel Cudlín, Aleš Farda, Otmar Urban, Miroslav Trnka. Global Change and Resilience From Impacts To Responses. Brno: Global Change Research Centre, AS CR, v. v. i., 2013. ISBN 978-80-904351-9-3.

@inproceedings{1112153,
   author = {Bohovic, Roman and Dobrovolný, Petr},
   address = {Brno},
   booktitle = {Global Change and Resilience From Impacts To Responses},
   editor = {Robert Stojanov, Zdeněk Žalud, Pavel Cudlín, Aleš Farda, Otmar Urban, Miroslav Trnka},
   keywords = {Central Asia, phenology, NDVI, remote sensing},
   language = {eng},
   location = {Brno},
   isbn = {978-80-904351-9-3},
   publisher = {Global Change Research Centre, AS CR, v. v. i.},
   title = {Vegetation Phenology in Central Asia by the Means of Remote Sensing},
   year = {2013}
}

TY  - CONF
ID  - 1112153
AU  - Bohovic, Roman - Dobrovolný, Petr
PY  - 2013
TI  - Vegetation Phenology in Central Asia by the Means of Remote Sensing
PB  - Global Change Research Centre, AS CR, v. v. i.
CY  - Brno
SN  - 9788090435193
KW  - Central Asia, phenology, NDVI, remote sensing
N2  - Analyses of phenological parameters can be used as indicators for climate change. Vice versa, diff erent climate conditions drive changes in the vegetation cycle that could be monitored on a time series of satellite images. For the assessment of vegetation dynamics on a regional scale remote sensing is the only method that can provide this information and at the same time which has the potential for continuous monitoring over long time spans. The most widely used indicator connected to vegetation activity is the Normalized Diff erence Vegetation Index (NDVI), which can be used for the calculation of diff erent parameters of phenology. For fi ltering time series and deriving phenology indices TIMESAT soft ware is used. Phenology data were produced for the whole of Central Asia for 30 years (1982–2011) using NOAA AVHRR GIMMS 8km datasets with a spatial resolution of 8 km. These data have been analyzed and patterns of vegetation phenology described. The dynamics over the past 30 years in Central Asia have been investigated. Consequently, impacts of climate change on phenology and means of its possible prediction are discussed.
ER  -

BOHOVIC, Roman a Petr DOBROVOLNÝ. Vegetation Phenology in Central Asia by the Means of Remote Sensing. In Robert Stojanov, Zdeněk Žalud, Pavel Cudlín, Aleš Farda, Otmar Urban, Miroslav Trnka. \textit{Global Change and Resilience From Impacts To Responses}. Brno: Global Change Research Centre, AS CR, v. v. i., 2013. ISBN~978-80-904351-9-3.

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