Remote Sensing and Land Use/Land Cover Trajectories

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F14%3A33152909" target="_blank" >RIV/61989592:15310/14:33152909 - isvavai.cz</a>

Výsledek na webu

<a href="http://omicsgroup.org/journals/remote-sensing-and-land-useland-cover-trajectories-2169-0049.1000123.pdf" target="_blank" >http://omicsgroup.org/journals/remote-sensing-and-land-useland-cover-trajectories-2169-0049.1000123.pdf</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.4172/2169-0049.1000123" target="_blank" >10.4172/2169-0049.1000123</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Remote Sensing and Land Use/Land Cover Trajectories

Popis výsledku v původním jazyce

Remotely sensed data is the most important data source for land cover change trajectories over the past 40 years. This research explores the temporal composition of the main Land-use/land-cover (LULC) trajectories. Examine the spatial configuration of the trajectory derive the probability of transitions in the Olomouc region, Czech Republic. Multi-temporal satellite data from 1991, 2001 and 2013 were used to extract land use/cover types by object oriented classification method. To achieve the objectives, three different aspects were used: (1) Calculate the quantity of each transition; (2) Allocate location based landscape pattern (3) Compare land use/cover evaluation procedure. Land cover change trajectories show that 16.69% agriculture, 54.33% forestand 21.98% other areas (settlement, pasture and water-body) were stable in all three decade. Approximately 30% of the study area maintained as a same land cove type from 1991 to 2013. The results suggest that spatial pattern metrics of la

Název v anglickém jazyce

Remote Sensing and Land Use/Land Cover Trajectories

Popis výsledku anglicky

Remotely sensed data is the most important data source for land cover change trajectories over the past 40 years. This research explores the temporal composition of the main Land-use/land-cover (LULC) trajectories. Examine the spatial configuration of the trajectory derive the probability of transitions in the Olomouc region, Czech Republic. Multi-temporal satellite data from 1991, 2001 and 2013 were used to extract land use/cover types by object oriented classification method. To achieve the objectives, three different aspects were used: (1) Calculate the quantity of each transition; (2) Allocate location based landscape pattern (3) Compare land use/cover evaluation procedure. Land cover change trajectories show that 16.69% agriculture, 54.33% forestand 21.98% other areas (settlement, pasture and water-body) were stable in all three decade. Approximately 30% of the study area maintained as a same land cove type from 1991 to 2013. The results suggest that spatial pattern metrics of la

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

DE - Zemský magnetismus, geodesie, geografie

OECD FORD obor

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Projekt

<a href="/cs/project/EE2.3.30.0041" target="_blank" >EE2.3.30.0041: Podpora vytváření excelentních výzkumných týmů a intersektorální mobility na Univerzitě Palackého v Olomouci II.</a><br>

Návaznosti

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

Rok uplatnění

2014

Kód důvěrnosti údajů

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

Název periodika

Journal of Geophysics and Remote Sensing

ISSN

2169-0049

e-ISSN

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Svazek periodika

3

Číslo periodika v rámci svazku

3

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

7

Strana od-do

1-7

Kód UT WoS článku

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EID výsledku v databázi Scopus

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