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[49910] Artykuł:

Temporal Satellite Images in The Process of Automatic Efficient Detection of Changes of the Baltic Sea Coastal Zone

Czasopismo: IOP Conference Series: Earth and Environmental Science   Tom: 44, Strony: 042019
ISSN:  1755-1307
Wydawca:  IOP PUBLISHING LTD, DIRAC HOUSE, TEMPLE BACK, BRISTOL BS1 6BE, ENGLAND
Opublikowano: Pażdziernik 2016
Seria wydawnicza:  IOP Conference Series-Earth and Environmental Science
 
  Autorzy / Redaktorzy / Twórcy
Imię i nazwisko Wydział Katedra Procent
udziału
Liczba
punktów
Krystyna Michalowska33.00  
Ewa Głowienka orcid logoWiŚGiEKatedra Geotechniki, Geomatyki i Gospodarki Odpadami*3315.00  
Beata Hejmanowska33.00  

Grupa MNiSW:  Materiały z konferencji międzynarodowej (zarejestrowane w Web of Science)
Punkty MNiSW: 15
Klasyfikacja Web of Science: Proceedings Paper


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Abstract:

The goal of the research was to perform tests aimed at assessing
possibilities of utilising multi-temporal Landsat satellite images for automatic
efficient detection of changes (e.g. accumulation and erosion) of the sea coastal
zone. The research database was composed of Landsat satellite images, and
standardized NDVI vegetation indexes from the years 1998 and 2015, as well as
multi-temporal vector maps and aerial orthophotomaps. The result map of Change
detection allowed to locate areas, in which diametrical changes in land coverage
took place. Satellite images reflecting the condition of the examined area for
twenty years enabled outlining changes of Baltic coastal zone, and then
determining the rate and extent of transformations of examined part of coast
(erosion and accumulation), and also made it possible to trace the migration of
dunes. The analysis showed the range of shifting dune displacement in the years
1998-2015 amounts to ca. 180 m. On the examined section of seashore (32 km),
the process of erosion and accumulation was detected respectively on the length of
21 km and 10 km along the coast. The changes of accumulation and erosion of the
sea coast are easily identifiable and clearly visible. Properly conducted workflow
of processing the satellite images have allowed the rapid and efficient detection of
changes coastline, dunes and vegetation.