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

Kód výsledku v 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>

Nalezeny alternativní kódy

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

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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

Název v anglickém jazyce

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

Popis výsledku anglicky

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

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

CE - Biochemie

OECD FORD obor

—

Projekt

<a href="/cs/project/GA205%2F09%2F1989" target="_blank" >GA205/09/1989: Vyhodnocení environmentálních vlivů povrchové těžby postavené na analýze dat hyperspektráního sensoru ARES</a><br>

Návaznosti

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

Rok uplatnění

2012

Kód důvěrnosti údajů

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

Název periodika

Journal of Applied Remote Sensing

ISSN

1931-3195

e-ISSN

—

Svazek periodika

6

Číslo periodika v rámci svazku

June

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

25

Strana od-do

1-25

Kód UT WoS článku

000306439700001

EID výsledku v databázi Scopus

—