Mapping Coastal Dune Landscape through Spectral Rao’s Q Temporal Diversity
The result's identifiers
Result code in 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>
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
Mapping Coastal Dune Landscape through Spectral Rao’s Q Temporal Diversity
Original language description
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
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10511 - Environmental sciences (social aspects to be 5.7)
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Remote Sensing
ISSN
2072-4292
e-ISSN
2072-4292
Volume of the periodical
12
Issue of the periodical within the volume
14
Country of publishing house
NN -
Number of pages
18
Pages from-to
1-18
UT code for WoS article
000554086500001
EID of the result in the Scopus database
2-s2.0-85088664225