About: Using multi-date high spectral resolution data to assess the physiological status of macroscopically undamaged foliage on a regional scale     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
  • Forests play an important role in regulation of the global climate; moreover, they provide human beings with a whole range of ecosystem services. Forest health and ecosystem functioning have been influenced by anthropogenic activities and their consequences, such as air pollution, surface mining, heavy metal contamination, and other biotic and abiotic stress factors, which had an especially serious effect on central Europe. Many aspects of the physiological state of trees are more or less related to the concentrations of two main groups of leaf photosynthetic pigments: chlorophylls and carotenoids. Therefore, their contents can be used as non-specific indicators of the actual tree physiological status, stress and the pre-visible tree damage. Variations in leaf biochemical composition affect foliar optical properties and can be assessed remotely using high spectral resolution data (hyperspectral data). These data were successfully used in earlier studies to detect vegetation stress and damage. However, only a few approaches have dealt with the use of hyperspectral remote sensing to assess vegetation physiological status on a regional scale. Moreover, little or no research has been done on assessing vegetation health while utilizing multi-date hyperspectral images. In this study, the method for assessing forest health conditions using optical indices retrieved from hyperspectral data was applied to the two temporal HyMap date sets acquired in 07/2009 and 08/2010 to detect stress for the Norway spruce forests in Sokolov, NW Bohemia, a region affected by long-term extensive mining. The classification results were validated by ground truth data (total chlorophyll-Cab, carotenoids-Car and carotenoid to chlorophyll ratio-Car/Cab) and were associated with the geochemical conditions of the forest stands.
  • Forests play an important role in regulation of the global climate; moreover, they provide human beings with a whole range of ecosystem services. Forest health and ecosystem functioning have been influenced by anthropogenic activities and their consequences, such as air pollution, surface mining, heavy metal contamination, and other biotic and abiotic stress factors, which had an especially serious effect on central Europe. Many aspects of the physiological state of trees are more or less related to the concentrations of two main groups of leaf photosynthetic pigments: chlorophylls and carotenoids. Therefore, their contents can be used as non-specific indicators of the actual tree physiological status, stress and the pre-visible tree damage. Variations in leaf biochemical composition affect foliar optical properties and can be assessed remotely using high spectral resolution data (hyperspectral data). These data were successfully used in earlier studies to detect vegetation stress and damage. However, only a few approaches have dealt with the use of hyperspectral remote sensing to assess vegetation physiological status on a regional scale. Moreover, little or no research has been done on assessing vegetation health while utilizing multi-date hyperspectral images. In this study, the method for assessing forest health conditions using optical indices retrieved from hyperspectral data was applied to the two temporal HyMap date sets acquired in 07/2009 and 08/2010 to detect stress for the Norway spruce forests in Sokolov, NW Bohemia, a region affected by long-term extensive mining. The classification results were validated by ground truth data (total chlorophyll-Cab, carotenoids-Car and carotenoid to chlorophyll ratio-Car/Cab) and were associated with the geochemical conditions of the forest stands. (en)
Title
  • Using multi-date high spectral resolution data to assess the physiological status of macroscopically undamaged foliage on a regional scale
  • Using multi-date high spectral resolution data to assess the physiological status of macroscopically undamaged foliage on a regional scale (en)
skos:prefLabel
  • Using multi-date high spectral resolution data to assess the physiological status of macroscopically undamaged foliage on a regional scale
  • Using multi-date high spectral resolution data to assess the physiological status of macroscopically undamaged foliage on a regional scale (en)
skos:notation
  • RIV/00216208:11310/14:10281638!RIV15-MSM-11310___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • I, P(7E10042), P(GA205/09/1989)
http://linked.open...iv/cisloPeriodika
  • B
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
  • 52446
http://linked.open...ai/riv/idVysledku
  • RIV/00216208:11310/14:10281638
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Tree stress; Carotenoids; Chlorophyll; Image spectroscopy; Forest monitoring; Foliar biochemistry (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • NL - Nizozemsko
http://linked.open...ontrolniKodProRIV
  • [C36924E79B7C]
http://linked.open...i/riv/nazevZdroje
  • International Journal of Applied Earth Observation and Geoinformation
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
  • 27
http://linked.open...iv/tvurceVysledku
  • Albrechtová, Jana
  • Kopačková, Veronika
  • Lhotáková, Zuzana
  • Mišurec, Jan
  • Oulehle, Filip
http://linked.open...ain/vavai/riv/wos
  • 000329386000006
issn
  • 0303-2434
number of pages
http://bibframe.org/vocab/doi
  • 10.1016/j.jag.2013.09.009
http://localhost/t...ganizacniJednotka
  • 11310
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