Unmanned aerial systems-based monitoring of the eco-geomorphology of coastal dunes through spectral Rao's Q

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F21%3A86989" target="_blank" >RIV/60460709:41330/21:86989 - isvavai.cz</a>

Výsledek na webu

<a href="https://onlinelibrary.wiley.com/doi/full/10.1111/avsc.12567" target="_blank" >https://onlinelibrary.wiley.com/doi/full/10.1111/avsc.12567</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1111/avsc.12567" target="_blank" >10.1111/avsc.12567</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Unmanned aerial systems-based monitoring of the eco-geomorphology of coastal dunes through spectral Rao's Q

Popis výsledku v původním jazyce

Question Does spectral diversity captured by unmanned aerial systems (UAS) provide reliable information for monitoring the ecogeomorphological integrity of Mediterranean coastal dune ecosystems? Can this information discriminate between two coastal areas with low (LP) and high (HP) human pressure? Location Tyrrhenian coast, Central Italy. Methods By processing UAS images, we derived the normalized difference vegetation index (NDVI) and topographic variables at high spatial resolution (0,5 m) for 150 m wide strips starting from the coastline inland on two representative coastal tracts under low and high human pressure. We mapped the seainland heterogeneity applying Raos Q index to the plant biomass (NDVI) and geomorphology variables (elevation and slope). Since Raos Q index can be calculated in a multidimensional space, we summarized the variability of these three variables into a single ecogeomorphological layer. We then inspected and compared how the Raos Q index values for plant biomass, geomorph

Název v anglickém jazyce

Unmanned aerial systems-based monitoring of the eco-geomorphology of coastal dunes through spectral Rao's Q

Popis výsledku anglicky

Question Does spectral diversity captured by unmanned aerial systems (UAS) provide reliable information for monitoring the ecogeomorphological integrity of Mediterranean coastal dune ecosystems? Can this information discriminate between two coastal areas with low (LP) and high (HP) human pressure? Location Tyrrhenian coast, Central Italy. Methods By processing UAS images, we derived the normalized difference vegetation index (NDVI) and topographic variables at high spatial resolution (0,5 m) for 150 m wide strips starting from the coastline inland on two representative coastal tracts under low and high human pressure. We mapped the seainland heterogeneity applying Raos Q index to the plant biomass (NDVI) and geomorphology variables (elevation and slope). Since Raos Q index can be calculated in a multidimensional space, we summarized the variability of these three variables into a single ecogeomorphological layer. We then inspected and compared how the Raos Q index values for plant biomass, geomorph

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

1

Stát vydavatele periodika

SE - Švédské království

Počet stran výsledku

10

Strana od-do

1-10

Kód UT WoS článku

000636291500007

EID výsledku v databázi Scopus

2-s2.0-85102705718