About: Utilization of hyperspectral image optical indices to assess the Norway spruce forest health status     Goto   Sponge   NotDistinct   Permalink

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

AttributesValues
rdf:type
rdfs:seeAlso
Description
  • The work is concerned with assessing the health status of trees of the Norway spruce species using airborne hyperspectral (HS) data (HyMap). The study was conducted in the Sokolov basin in the western part of the Czech Republic. First, statistics were employed to assess and validate diverse empirical models based on spectral information using the ground truth data (biochemically determined chlorophyll content). The model attaining the greatest accuracy (D-718/D-704:RMSE = 0.2055 mg/g, R-2 = 0.9370) was selected to produce a map of foliar chlorophyll concentrations (C-ab). The C-ab values retrieved from the HS data were tested together with other nonquantitative vegetation indicators derived from the HyMap image reflectance to create a statistical method allowing assessment of the condition of Norway spruce. As a result, we integrated the following HyMap derived parameters (C-ab, REP, and SIPI) to assess the subtle changes in physiological status of the macroscopically undamaged foliage of Norway spruce within the four studied test sites. Our classification results and the previously published studies dealing with assessing the condition of Norway spruce using chlorophyll contents are in a good agreement and indicate that this method is potentially useful for general applicability after further testing and validation. (c) 2012 Society of Photo-Optical Instrumentation Engineers (SPIE). [DOI: 10.1117/1.JRS.6.063545]
  • The work is concerned with assessing the health status of trees of the Norway spruce species using airborne hyperspectral (HS) data (HyMap). The study was conducted in the Sokolov basin in the western part of the Czech Republic. First, statistics were employed to assess and validate diverse empirical models based on spectral information using the ground truth data (biochemically determined chlorophyll content). The model attaining the greatest accuracy (D-718/D-704:RMSE = 0.2055 mg/g, R-2 = 0.9370) was selected to produce a map of foliar chlorophyll concentrations (C-ab). The C-ab values retrieved from the HS data were tested together with other nonquantitative vegetation indicators derived from the HyMap image reflectance to create a statistical method allowing assessment of the condition of Norway spruce. As a result, we integrated the following HyMap derived parameters (C-ab, REP, and SIPI) to assess the subtle changes in physiological status of the macroscopically undamaged foliage of Norway spruce within the four studied test sites. Our classification results and the previously published studies dealing with assessing the condition of Norway spruce using chlorophyll contents are in a good agreement and indicate that this method is potentially useful for general applicability after further testing and validation. (c) 2012 Society of Photo-Optical Instrumentation Engineers (SPIE). [DOI: 10.1117/1.JRS.6.063545] (en)
Title
  • Utilization of hyperspectral image optical indices to assess the Norway spruce forest health status
  • Utilization of hyperspectral image optical indices to assess the Norway spruce forest health status (en)
skos:prefLabel
  • Utilization of hyperspectral image optical indices to assess the Norway spruce forest health status
  • Utilization of hyperspectral image optical indices to assess the Norway spruce forest health status (en)
skos:notation
  • RIV/00216208:11310/12:10127582!RIV13-GA0-11310___
http://linked.open...avai/predkladatel
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • I, P(GA205/09/1989), Z(AV0Z60870520)
http://linked.open...iv/cisloPeriodika
  • 1
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 176660
http://linked.open...ai/riv/idVysledku
  • RIV/00216208:11310/12:10127582
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • forest management; Sokolov basin; actual physiological status; HyMap; continuum removal; Norway spruce; optical indices; chlorophyll (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • US - Spojené státy americké
http://linked.open...ontrolniKodProRIV
  • [85686ABAC322]
http://linked.open...i/riv/nazevZdroje
  • Journal of Applied Remote Sensing
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 6
http://linked.open...iv/tvurceVysledku
  • Albrechtová, Jana
  • Hanuš, Jan
  • Kopačková, Veronika
  • Lhotáková, Zuzana
  • Mišurec, Jan
  • Entcheva-Campbell, Petya
  • Weyermann, Jörg
http://linked.open...ain/vavai/riv/wos
  • 000306439700001
http://linked.open...n/vavai/riv/zamer
issn
  • 1931-3195
number of pages
http://bibframe.org/vocab/doi
  • 10.1117/1.JRS.6.063545
http://localhost/t...ganizacniJednotka
  • 11310
is http://linked.open...avai/riv/vysledek of
Faceted Search & Find service v1.16.118 as of Jun 21 2024


Alternative Linked Data Documents: ODE     Content Formats:   [cxml] [csv]     RDF   [text] [turtle] [ld+json] [rdf+json] [rdf+xml]     ODATA   [atom+xml] [odata+json]     Microdata   [microdata+json] [html]    About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data] Valid XHTML + RDFa
OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 103 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software