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Statements

Subject Item
n2:RIV%2F60460709%3A41330%2F14%3A64583%21RIV15-MSM-41330___
rdf:type
n12:Vysledek skos:Concept
dcterms:description
The availability of images with very high spatial and spectral resolution from airborne sensors or those aboard satellites is opening new possibilities for the analysis of fine-scale vegetation, such as the identification and classification of individual tree species. To evaluate the potential of these images, a study was carried out to compare the spatial, spectral and temporal resolution between QuickBird and ADS40-SH52 imagery, in order to discriminate and identify, within the mixed Mediterranean forest, individuals of the Iberian wild pear (Pyrus bourgaeana). This is a typical species of the Mediterranean forest, but its biology and ecology are still poorly known. The images were subjected to different correction processes and data were homogenized. Vegetation classes and individual trees were identified on the images, which were classified from two types of supervised classification (Maximum Likelihood and Support Vector Machines) on a pixel-by-pixel basis. The classification values were satisfa The availability of images with very high spatial and spectral resolution from airborne sensors or those aboard satellites is opening new possibilities for the analysis of fine-scale vegetation, such as the identification and classification of individual tree species. To evaluate the potential of these images, a study was carried out to compare the spatial, spectral and temporal resolution between QuickBird and ADS40-SH52 imagery, in order to discriminate and identify, within the mixed Mediterranean forest, individuals of the Iberian wild pear (Pyrus bourgaeana). This is a typical species of the Mediterranean forest, but its biology and ecology are still poorly known. The images were subjected to different correction processes and data were homogenized. Vegetation classes and individual trees were identified on the images, which were classified from two types of supervised classification (Maximum Likelihood and Support Vector Machines) on a pixel-by-pixel basis. The classification values were satisfa
dcterms:title
Evaluation and Comparison of QuickBird and ADS40-SH52 Multispectral Imagery for Mapping Iberian Wild Pear Trees (Pyrus bourgaeana, Decne) in a Mediterranean Mixed Forest Evaluation and Comparison of QuickBird and ADS40-SH52 Multispectral Imagery for Mapping Iberian Wild Pear Trees (Pyrus bourgaeana, Decne) in a Mediterranean Mixed Forest
skos:prefLabel
Evaluation and Comparison of QuickBird and ADS40-SH52 Multispectral Imagery for Mapping Iberian Wild Pear Trees (Pyrus bourgaeana, Decne) in a Mediterranean Mixed Forest Evaluation and Comparison of QuickBird and ADS40-SH52 Multispectral Imagery for Mapping Iberian Wild Pear Trees (Pyrus bourgaeana, Decne) in a Mediterranean Mixed Forest
skos:notation
RIV/60460709:41330/14:64583!RIV15-MSM-41330___
n3:aktivita
n8:S
n3:aktivity
S
n3:cisloPeriodika
6
n3:dodaniDat
n10:2015
n3:domaciTvurceVysledku
n13:1862588
n3:druhVysledku
n4:J
n3:duvernostUdaju
n16:S
n3:entitaPredkladatele
n6:predkladatel
n3:idSjednocenehoVysledku
15296
n3:idVysledku
RIV/60460709:41330/14:64583
n3:jazykVysledku
n14:eng
n3:klicovaSlova
vegetation mapping, QuickBird imagery, ADS40-SH52 imagery, multispectral image, mosaicing, Maximum Likelihood, Support Vector Machines, accuracy assessment, Iberian wild pear, Pyrus bourgaeana
n3:klicoveSlovo
n9:vegetation%20mapping n9:Pyrus%20bourgaeana n9:Iberian%20wild%20pear n9:Support%20Vector%20Machines n9:multispectral%20image n9:QuickBird%20imagery n9:accuracy%20assessment n9:Maximum%20Likelihood n9:mosaicing n9:ADS40-SH52%20imagery
n3:kodStatuVydavatele
CZ - Česká republika
n3:kontrolniKodProRIV
[C26E2D003110]
n3:nazevZdroje
FORESTS
n3:obor
n17:GK
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
3
n3:rokUplatneniVysledku
n10:2014
n3:svazekPeriodika
5
n3:tvurceVysledku
Arenas Castro, Salvador Fernandez-Haeger, Juan Jordano-Barbudo, Diego
n3:wos
000338192900011
s:issn
1999-4907
s:numberOfPages
27
n15:organizacniJednotka
41330