Utilization of hyperspectral image optical indices to assess the Norway spruce forest health status

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00025798%3A_____%2F12%3A00000110" target="_blank" >RIV/00025798:_____/12:00000110 - isvavai.cz</a>

Alternative codes found

RIV/67179843:_____/12:00378899 RIV/00216208:11310/12:10127582

Result on the web

<a href="http://dx.doi.org/10.1117/1.JRS.6.063545" target="_blank" >http://dx.doi.org/10.1117/1.JRS.6.063545</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1117/1.JRS.6.063545" target="_blank" >10.1117/1.JRS.6.063545</a>

Result language

angličtina

Original language name

Utilization of hyperspectral image optical indices to assess the Norway spruce forest health status

Original language 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 (D718?D704?RMSE ? 0.2055 mg?g, R2 ? 0.9370) was selected to produce a map of foliar chlorophyll concentrations (Cab). The Cab 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 (Cab, REP, and SIPI) to assess the subtle changes in physiological status of the macroscopically undamaged foliage of No

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

CE - Biochemistry

OECD FORD branch

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Project

<a href="/en/project/GA205%2F09%2F1989" target="_blank" >GA205/09/1989: Assessment of Mining Related Impacts Based on Utilization of ARES Airborne Hyperspectral Sensor</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2012

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Journal of Applied Remote Sensing

ISSN

1931-3195

e-ISSN

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Volume of the periodical

6

Issue of the periodical within the volume

June

Country of publishing house

US - UNITED STATES

Number of pages

25

Pages from-to

1-25

UT code for WoS article

000306439700001

EID of the result in the Scopus database

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