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Statements

Subject Item
n2:RIV%2F61989592%3A15310%2F14%3A33152909%21RIV15-MSM-15310___
rdf:type
n10:Vysledek skos:Concept
rdfs:seeAlso
http://omicsgroup.org/journals/remote-sensing-and-land-useland-cover-trajectories-2169-0049.1000123.pdf
dcterms: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.
dcterms:title
Remote Sensing and Land Use/Land Cover Trajectories Remote Sensing and Land Use/Land Cover Trajectories
skos:prefLabel
Remote Sensing and Land Use/Land Cover Trajectories Remote Sensing and Land Use/Land Cover Trajectories
skos:notation
RIV/61989592:15310/14:33152909!RIV15-MSM-15310___
n3:aktivita
n5:P
n3:aktivity
P(EE2.3.30.0041)
n3:cisloPeriodika
3
n3:dodaniDat
n11:2015
n3:domaciTvurceVysledku
n8:1609289 Boori, Mukesh Singh
n3:druhVysledku
n19:J
n3:duvernostUdaju
n12:S
n3:entitaPredkladatele
n18:predkladatel
n3:idSjednocenehoVysledku
42150
n3:idVysledku
RIV/61989592:15310/14:33152909
n3:jazykVysledku
n17:eng
n3:klicovaSlova
Image classification; Change trajectories; Land use/cover; Remote sensing
n3:klicoveSlovo
n7:Change%20trajectories n7:Remote%20sensing n7:Land%20use%2Fcover n7:Image%20classification
n3:kodStatuVydavatele
US - Spojené státy americké
n3:kontrolniKodProRIV
[A59445983DE5]
n3:nazevZdroje
Journal of Geophysics and Remote Sensing
n3:obor
n6:DE
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
2
n3:projekt
n4:EE2.3.30.0041
n3:rokUplatneniVysledku
n11:2014
n3:svazekPeriodika
3
n3:tvurceVysledku
Voženílek, Vít Boori, Mukesh Singh
s:issn
2169-0049
s:numberOfPages
7
n16:doi
10.4172/2169-0049.1000123
n20:organizacniJednotka
15310