Mapping Coastal Dune Landscape through Spectral Rao’s Q Temporal Diversity

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F20%3A82305" target="_blank" >RIV/60460709:41330/20:82305 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.mdpi.com/2072-4292/12/14/2315" target="_blank" >https://www.mdpi.com/2072-4292/12/14/2315</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/rs12142315" target="_blank" >10.3390/rs12142315</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Mapping Coastal Dune Landscape through Spectral Rao’s Q Temporal Diversity

Popis výsledku v původním jazyce

Coastal dunes are found at the boundary between continents and seas representing unique transitional mosaics hosting highly dynamic habitats undergoing substantial seasonal changes. Here, we implemented a land cover classification approach specifically designed for coastal landscapes accounting for the withinyear temporal variability of the main components of the coastal mosaic: vegetation, bare surfaces and water surfaces. Based on monthly Sentinel2 satellite images of the year 2019, we used hierarchical clustering and a Random Forest model to produce an unsupervised land cover map of coastal dunes in a representative site of the Adriatic coast (central Italy). As classification variables, we used the withinyear diversity computed through Raos Q index, along with three spectral indices describing the main components of the coastal mosaic (i.e., Modified Soil-adjusted Vegetation Index 2MSAVI2, Normalized Difference Water Index 2NDWI2 and Brightness Index 2BI2). We identified seven land cover classes

Název v anglickém jazyce

Mapping Coastal Dune Landscape through Spectral Rao’s Q Temporal Diversity

Popis výsledku anglicky

Coastal dunes are found at the boundary between continents and seas representing unique transitional mosaics hosting highly dynamic habitats undergoing substantial seasonal changes. Here, we implemented a land cover classification approach specifically designed for coastal landscapes accounting for the withinyear temporal variability of the main components of the coastal mosaic: vegetation, bare surfaces and water surfaces. Based on monthly Sentinel2 satellite images of the year 2019, we used hierarchical clustering and a Random Forest model to produce an unsupervised land cover map of coastal dunes in a representative site of the Adriatic coast (central Italy). As classification variables, we used the withinyear diversity computed through Raos Q index, along with three spectral indices describing the main components of the coastal mosaic (i.e., Modified Soil-adjusted Vegetation Index 2MSAVI2, Normalized Difference Water Index 2NDWI2 and Brightness Index 2BI2). We identified seven land cover classes

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10511 - Environmental sciences (social aspects to be 5.7)

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2020

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

12

Číslo periodika v rámci svazku

14

Stát vydavatele periodika

NN -

Počet stran výsledku

18

Strana od-do

1-18

Kód UT WoS článku

000554086500001

EID výsledku v databázi Scopus

2-s2.0-85088664225