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Statements

Subject Item
n2:RIV%2F60460709%3A41330%2F10%3A49708%21RIV11-MSM-41330___
rdf:type
skos:Concept n16:Vysledek
dcterms:description
One of the advantages of remote sensing in agricultural applications lies in its ability to classify and track changes occuring over large areas. Remote sensing is commonly used for crop classification, for yield forecasts, and also for monitoring post-harvest residues and on-site meteorological conditions. Land cover evaluations are most often performed using data from multispectral optical systems of sufficient spectral resolution. The classification accuracy of vegetation cover is influenced not only by the technical parameters of the sensors but also by the physical and biological characteristics of the vegetation that is scanned, and by the conditions in the locality. In this paper, we summarize studies in the field of agricultural landscapes and their vegetation cover with the use of remote sensing. Methods of vegetation mapping based on the spectral behaviour of plants are discussed, and issues and factors that may affect classification are also dealt with. One of the advantages of remote sensing in agricultural applications lies in its ability to classify and track changes occuring over large areas. Remote sensing is commonly used for crop classification, for yield forecasts, and also for monitoring post-harvest residues and on-site meteorological conditions. Land cover evaluations are most often performed using data from multispectral optical systems of sufficient spectral resolution. The classification accuracy of vegetation cover is influenced not only by the technical parameters of the sensors but also by the physical and biological characteristics of the vegetation that is scanned, and by the conditions in the locality. In this paper, we summarize studies in the field of agricultural landscapes and their vegetation cover with the use of remote sensing. Methods of vegetation mapping based on the spectral behaviour of plants are discussed, and issues and factors that may affect classification are also dealt with.
dcterms:title
Use of remote sensing methods in studying agricultural landscapes – a review Use of remote sensing methods in studying agricultural landscapes – a review
skos:prefLabel
Use of remote sensing methods in studying agricultural landscapes – a review Use of remote sensing methods in studying agricultural landscapes – a review
skos:notation
RIV/60460709:41330/10:49708!RIV11-MSM-41330___
n3:aktivita
n19:P n19:Z
n3:aktivity
P(2B08006), P(JC_ 1/2008), Z(MSM6007665806)
n3:cisloPeriodika
1
n3:dodaniDat
n18:2011
n3:domaciTvurceVysledku
n4:8581126
n3:druhVysledku
n13:J
n3:duvernostUdaju
n6:S
n3:entitaPredkladatele
n7:predkladatel
n3:idSjednocenehoVysledku
294711
n3:idVysledku
RIV/60460709:41330/10:49708
n3:jazykVysledku
n14:eng
n3:klicovaSlova
Remote sensing, Land cover, Land use, Satellite data, Vegetation, Image fusion.
n3:klicoveSlovo
n8:Remote%20sensing n8:Land%20use n8:Vegetation n8:Image%20fusion. n8:Satellite%20data n8:Land%20cover
n3:kodStatuVydavatele
CZ - Česká republika
n3:kontrolniKodProRIV
[088ACD6C2814]
n3:nazevZdroje
Journal of Landscape Studies - online version
n3:obor
n15:DO
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
5
n3:projekt
n10:JC_%201%2F2008 n10:2B08006
n3:rokUplatneniVysledku
n18:2010
n3:svazekPeriodika
3
n3:tvurceVysledku
Vinciková, Hana Brom, Jakub Procházka, Jan Pecharová, Emilie Hais, Martin
n3:wos
0
n3:zamer
n12:MSM6007665806
s:issn
1802-4416
s:numberOfPages
11
n17:organizacniJednotka
41330