Composite indicator for monitoring of Norway spruce stand decline

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12220%2F17%3A43896458" target="_blank" >RIV/60076658:12220/17:43896458 - isvavai.cz</a>

Alternative codes found

RIV/86652079:_____/17:00481095

Result on the web

<a href="http://www.tandfonline.com/toc/tejr20/50/1?nav=tocList#aHR0cDovL3d3dy50YW5kZm9ubGluZS5jb20vZG9pL3BkZi8xMC4xMDgwLzIyNzk3MjU0LjIwMTcuMTM3MjY5N0BAQDQ0" target="_blank" >http://www.tandfonline.com/toc/tejr20/50/1?nav=tocList#aHR0cDovL3d3dy50YW5kZm9ubGluZS5jb20vZG9pL3BkZi8xMC4xMDgwLzIyNzk3MjU0LjIwMTcuMTM3MjY5N0BAQDQ0</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1080/22797254.2017.1372697" target="_blank" >10.1080/22797254.2017.1372697</a>

Result language

angličtina

Original language name

Composite indicator for monitoring of Norway spruce stand decline

Original language description

The study is aimed to explore the potential of time-series airborne hyperspectral and satellite multispectral data to track the changes in spruce forest decline expressed by a composite spruce decline indicator. Vegetation indices and exergy of solar radiation extracted from remote sensing data are used to predict the development of the composite spruce health indicator. The canopy-level spectral reflectance properties of spruce stands are investigated to identify categories of spruce stand decline: healthy, initial decline, and initial to moderate decline. The sensitivity peaks for initial decline and initial to moderate decline of spruce are shown. The highest potential for the estimation of the composite spruce health indicator is demonstrated by vegetation indices WBI and NDVIred_edge from airborne hyperspectral data, and by PSRI, NDII and exergy of solar radiation from Landsat and Sentinel-2 satellite multispectral data. MODIS data show only a poor correlation between the composite spruce stand health indicator and NDII index. The proposed methodology to obtain the distribution of the composite spruce decline indicator using remote sensing (RS) data promisingly suggests its applicability over a large forest area with potential time and economic benefits, since foliar spectral measurements, canopy chemistry, and laboratory analysis are not required.

Czech name

—

Czech description

—

Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

20705 - Remote sensing

Project

<a href="/en/project/LO1415" target="_blank" >LO1415: CzechGlobe 2020 – Development of the Centre of Global Climate Change Impacts Studies</a><br>

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2017

Confidentiality

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

Name of the periodical

European Journal of Remote Sensing

ISSN

2279-7254

e-ISSN

—

Volume of the periodical

50

Issue of the periodical within the volume

1

Country of publishing house

IT - ITALY

Number of pages

14

Pages from-to

550-563

UT code for WoS article

000410696600006

EID of the result in the Scopus database

—