<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>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.</p>
</abstract>

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.

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

Division of Physical Oceanography, Institute of Oceanography

Oceanological and Hydrobiological Studies

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

{"article-title":"Impact of cloud cover on local remote sensing \u2013 Piaśnica River case study"}

New satellite-based techniques open up new horizons to researchers and local communities. Concurrently, however, requirements and expectations with regard to...

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

Article Category: Original research paper

Data publikacji: 07 lis 2022

Zakres stron: 283 - 297

Otrzymano: 06 maj 2022

Przyjęty: 13 wrz 2022

DOI: https://doi.org/10.26881/oahs-2022.3.04

Słowa kluczowe
remote sensing, cloud, coastal morphology, Piaśnica, coastal zone satellite observations

© 2022 Marcin Paszkuta, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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

Article Category: Original research paper

Data publikacji: 07 lis 2022

Zakres stron: 283 - 297

Otrzymano: 06 maj 2022

Przyjęty: 13 wrz 2022

DOI: https://doi.org/10.26881/oahs-2022.3.04

Słowa kluczoweremote sensing, cloud, coastal morphology, Piaśnica, coastal zone satellite observations

© 2022 Marcin Paszkuta, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Słowa kluczowe
remote sensing, cloud, coastal morphology, Piaśnica, coastal zone satellite observations