Remote Data for Mapping and Monitoring Coastal Phenomena and Parameters: A Systematic Review
Articolo
Data di Pubblicazione:
2024
Abstract:
Since 1971, remote sensing techniques have been used to map and monitor phenomena and
parameters of the coastal zone. However, updated reviews have only considered one phenomenon,
parameter, remote data source, platform, or geographic region. No review has offered an updated
overview of coastal phenomena and parameters that can be accurately mapped and monitored with
remote data. This systematic review was performed to achieve this purpose. A total of 15,141 papers
published from January 2021 to June 2023 were identified. The 1475 most cited papers were screened,
and 502 eligible papers were included. The Web of Science and Scopus databases were searched
using all possible combinations between two groups of keywords: all geographical names in coastal
areas and all remote data and platforms. The systematic review demonstrated that, to date, many
coastal phenomena (103) and parameters (39) can be mapped and monitored using remote data (e.g.,
coastline and land use and land cover changes, climate change, and coastal urban sprawl). Moreover,
the authors validated 91% of the retrieved parameters, retrieved from remote data 39 parameters
that were mapped or monitored 1158 times (88% of the parameters were combined together with
other parameters), monitored 75% of the parameters over time, and retrieved 69% of the parameters
from several remote data and compared the results with each other and with available products.
They obtained 48% of the parameters using different methods, and their results were compared with
each other and with available products. They combined 17% of the parameters that were retrieved
with GIS and model techniques. In conclusion, the authors addressed the requirements needed
to more effectively analyze coastal phenomena and parameters employing integrated approaches:
they retrieved the parameters from different remote data, merged different data and parameters,
compared different methods, and combined different techniques.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
coastline change; coastal zone; climate change; land use and land cover change; urban sprawl; GIS; Model; remote sensing techniques; integrated approaches
Elenco autori:
Cavalli, ROSA MARIA
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