Which optical traits enable an estimation of tree species diversity based on the Spectral Variation Hypothesis?

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F21%3A86990" target="_blank" >RIV/60460709:41330/21:86990 - isvavai.cz</a>

Výsledek na webu

<a href="https://onlinelibrary.wiley.com/doi/pdf/10.1111/avsc.12586" target="_blank" >https://onlinelibrary.wiley.com/doi/pdf/10.1111/avsc.12586</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1111/avsc.12586" target="_blank" >10.1111/avsc.12586</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Which optical traits enable an estimation of tree species diversity based on the Spectral Variation Hypothesis?

Popis výsledku v původním jazyce

Question Which optical traits, retrieved from biophysical models applied to Sentinel2 images, enable an estimation of tree species diversity based on the Spectral Variation Hypothesis? Location Coniferous mountain forest in the eastern Italian Alps. Methods We analyzed the PROSPECT5 and Invertible Forest Reflectance Model (INFORM) biophysical parameters as retrieved from canopy reflectance data of different forest plots (using Sentinel2 images for the years 2017, 2018 and 2019) as optical trait indicators (OTIs). We successively tested the Spectral Variation Hypothesis (SVH) for each retrieved OTI using the Raos Q as heterogeneity index, validating them against Shannons H values calculated as a tree species diversity index derived from insitu collected data. Results We demonstrated differences among OTIs in terms of how well their variations can be linked to species diversity. In particular the variations of brown pigments (Cbrown), carotenoids (Car) and chlorophyll content (Cab) can b

Název v anglickém jazyce

Which optical traits enable an estimation of tree species diversity based on the Spectral Variation Hypothesis?

Popis výsledku anglicky

Question Which optical traits, retrieved from biophysical models applied to Sentinel2 images, enable an estimation of tree species diversity based on the Spectral Variation Hypothesis? Location Coniferous mountain forest in the eastern Italian Alps. Methods We analyzed the PROSPECT5 and Invertible Forest Reflectance Model (INFORM) biophysical parameters as retrieved from canopy reflectance data of different forest plots (using Sentinel2 images for the years 2017, 2018 and 2019) as optical trait indicators (OTIs). We successively tested the Spectral Variation Hypothesis (SVH) for each retrieved OTI using the Raos Q as heterogeneity index, validating them against Shannons H values calculated as a tree species diversity index derived from insitu collected data. Results We demonstrated differences among OTIs in terms of how well their variations can be linked to species diversity. In particular the variations of brown pigments (Cbrown), carotenoids (Car) and chlorophyll content (Cab) can b

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10618 - Ecology

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2021

Kód důvěrnosti údajů

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

Název periodika

Applied Vegetation Science

ISSN

1402-2001

e-ISSN

1654-109X

Svazek periodika

24

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

SE - Švédské království

Počet stran výsledku

15

Strana od-do

1-15

Kód UT WoS článku

000667075000004

EID výsledku v databázi Scopus

2-s2.0-85108961842