Potential and Limitations of Grasslands alpha-Diversity Prediction Using Fine-Scale Hyperspectral Imagery

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F21%3A87026" target="_blank" >RIV/60460709:41330/21:87026 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.mdpi.com/2072-4292/13/14/2649" target="_blank" >https://www.mdpi.com/2072-4292/13/14/2649</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/rs13142649" target="_blank" >10.3390/rs13142649</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Potential and Limitations of Grasslands alpha-Diversity Prediction Using Fine-Scale Hyperspectral Imagery

Popis výsledku v původním jazyce

Plant biodiversity is an important feature of grassland ecosystems, as it is related to the provision of many ecosystem services crucial for the human economy and well-being. Given the importance of grasslands, research has been carried out in recent years on the potential to monitor them with novel remote sensing techniques. In this study, the optical diversity (also called spectral diversity) approach was adopted to check the potential of using high-resolution hyperspectral images to estimate alpha-diversity in grassland ecosystems. In 2018 and 2019, grassland species composition was surveyed and canopy hyperspectral data were acquired at two grassland sites: Monte Bondone (IT-MBo species-rich semi-natural grasslands) and an experimental farm of the University of Padova, Legnaro, Padua, Italy (IT-PD artificially established grassland plots with a species-poor mixture). The relationship between biodiversity (species richness, Shannons, species evenness, and Simpsons indices) and optical diversity me

Název v anglickém jazyce

Potential and Limitations of Grasslands alpha-Diversity Prediction Using Fine-Scale Hyperspectral Imagery

Popis výsledku anglicky

Plant biodiversity is an important feature of grassland ecosystems, as it is related to the provision of many ecosystem services crucial for the human economy and well-being. Given the importance of grasslands, research has been carried out in recent years on the potential to monitor them with novel remote sensing techniques. In this study, the optical diversity (also called spectral diversity) approach was adopted to check the potential of using high-resolution hyperspectral images to estimate alpha-diversity in grassland ecosystems. In 2018 and 2019, grassland species composition was surveyed and canopy hyperspectral data were acquired at two grassland sites: Monte Bondone (IT-MBo species-rich semi-natural grasslands) and an experimental farm of the University of Padova, Legnaro, Padua, Italy (IT-PD artificially established grassland plots with a species-poor mixture). The relationship between biodiversity (species richness, Shannons, species evenness, and Simpsons indices) and optical diversity me

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

Remote Sensing

ISSN

2072-4292

e-ISSN

2072-4292

Svazek periodika

14

Číslo periodika v rámci svazku

13

Stát vydavatele periodika

CH - Švýcarská konfederace

Počet stran výsledku

23

Strana od-do

1-23

Kód UT WoS článku

000676960800001

EID výsledku v databázi Scopus

2-s2.0-85110773774