About: Remote Sensing and Land Use/Land Cover Trajectories

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
rdfs:seeAlso	http://omicsgroup.org/journals/remote-sensing-and-land-useland-cover-trajectories-2169-0049.1000123.pdf
Description	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% forest and 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 land cover change trajectory can provide a good quantitative measurement for better understanding of the spatio-temporal pattern of land cover change due to different causes. 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% forest and 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 land cover change trajectory can provide a good quantitative measurement for better understanding of the spatio-temporal pattern of land cover change due to different causes. (en)
Title	Remote Sensing and Land Use/Land Cover Trajectories Remote Sensing and Land Use/Land Cover Trajectories (en)
skos:prefLabel	Remote Sensing and Land Use/Land Cover Trajectories Remote Sensing and Land Use/Land Cover Trajectories (en)
skos:notation	RIV/61989592:15310/14:33152909!RIV15-MSM-15310___
http://linked.open...avai/riv/aktivita	P
http://linked.open...avai/riv/aktivity	P(EE2.3.30.0041)
http://linked.open...iv/cisloPeriodika	3
http://linked.open...vai/riv/dodaniDat	2015
http://linked.open...aciTvurceVysledku	Voženílek, Vít Boori, Mukesh Singh
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Univerzita Palackého v Olomouci / Přírodovědecká fakulta
http://linked.open...dnocenehoVysledku	42150
http://linked.open...ai/riv/idVysledku	RIV/61989592:15310/14:33152909
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Image classification; Change trajectories; Land use/cover; Remote sensing (en)
http://linked.open.../riv/klicoveSlovo	Remote sensing Image classification Change trajectories Land use/cover
http://linked.open...odStatuVydavatele	US - Spojené státy americké
http://linked.open...ontrolniKodProRIV	[A59445983DE5]
http://linked.open...i/riv/nazevZdroje	Journal of Geophysics and Remote Sensing
http://linked.open...in/vavai/riv/obor	DE
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...vavai/riv/projekt	Podpora vytváření excelentních výzkumných týmů a intersektorální mobility na Univerzitě Palackého v Olomouci II.
http://linked.open...UplatneniVysledku	2014
http://linked.open...v/svazekPeriodika	3
http://linked.open...iv/tvurceVysledku	Voženílek, Vít Boori, Mukesh Singh
issn	2169-0049
number of pages	7 (xsd:int)
http://bibframe.org/vocab/doi	10.4172/2169-0049.1000123
http://localhost/t...ganizacniJednotka	15310

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