Impact of cloud cover on local remote sensing – Piaśnica River case study

• Autorzy: Paszkuta Marcin

Identyfikatory

DOI

10.26881/oahs-2022.3.04

• Języki publikacji: EN

Abstrakty

EN

New satellite-based techniques open up new horizons to researchers and local communities. Concurrently, however, requirements and expectations with regard to satel-lite-based remote sensing products are increasingly higher. By relying on satellite-derived information, environmental observations can cover areas of a few to several metres resolution. Here we are dealing with free-of-charge and generally available sources of satellite-based information. The Piaśnica River mouth area was selected as an observation site representing a highly dynamic morphological transect. The paper compares products of cloud cover detection, supplied with data and available in the Copernicus database for a local area in the coastal zone of the Baltic Sea. The absolute difference did not exceed 5%, which confirms a high efficiency of the solutions offered. More than 96% of the clouded area determined for the Sentinel-2/MSI (Multispectral Instrument) was correctly identified when compared with supervised observations. The rate was lower (92%) for the Sentinel-3/OLCI (Ocean and Land Colour Instrument). It was eventually concluded that, at the local level, successful observations can be conducted using the cloud cover map supplied with the satellite data. At the same time, the analyses presented do not rule out further efforts to, e.g., increase the accuracy and speed of the analyses.

Słowa kluczowe

EN

remote sensing; cloud; coastal morphology; Piaśnica; coastal zone satellite observations

• Wydawca: Institute of Oceanography University of Gdańsk
• Czasopismo: Oceanological and Hydrobiological Studies
• Rocznik: 2022
• Tom: Vol. 51, No. 3
• Strony: 283--297
• Opis fizyczny: Bibliogr. 26 poz., fot., map., rys., tab.

Twórcy

autor

Paszkuta Marcin

• Division of Physical Oceanography, Institute of Oceanography, University of Gdańsk Gdynia, Poland

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).