Impact of cloud cover on local remote sensing – 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 satel-lite-based remote sensing products are increasingly higher. By relying on satellite-derived information, environmental observations can...
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| Format: | Article |
| Language: | English |
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Sciendo
2022-11-01
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| Series: | Oceanological and Hydrobiological Studies |
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| Online Access: | https://doi.org/10.26881/oahs-2022.3.04 |
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| author | Paszkuta Marcin |
| author_facet | Paszkuta Marcin |
| author_sort | Paszkuta Marcin |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-0464a8312ad44d77bf66c813644a7eae |
| institution | Kabale University |
| issn | 1897-3191 |
| language | English |
| publishDate | 2022-11-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Oceanological and Hydrobiological Studies |
| spelling | doaj-art-0464a8312ad44d77bf66c813644a7eae2025-01-20T11:10:23ZengSciendoOceanological and Hydrobiological Studies1897-31912022-11-0151328329710.26881/oahs-2022.3.04Impact of cloud cover on local remote sensing – Piaśnica River case studyPaszkuta Marcin0Division of Physical Oceanography, Institute of Oceanography, University of Gdańsk, Al. Piłsudskiego 46, 81-378Gdynia, PolandNew 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.https://doi.org/10.26881/oahs-2022.3.04remote sensingcloudcoastal morphologypiaśnicacoastal zone satellite observations |
| spellingShingle | Paszkuta Marcin Impact of cloud cover on local remote sensing – Piaśnica River case study Oceanological and Hydrobiological Studies remote sensing cloud coastal morphology piaśnica coastal zone satellite observations |
| title | Impact of cloud cover on local remote sensing – Piaśnica River case study |
| title_full | Impact of cloud cover on local remote sensing – Piaśnica River case study |
| title_fullStr | Impact of cloud cover on local remote sensing – Piaśnica River case study |
| title_full_unstemmed | Impact of cloud cover on local remote sensing – Piaśnica River case study |
| title_short | Impact of cloud cover on local remote sensing – Piaśnica River case study |
| title_sort | impact of cloud cover on local remote sensing piasnica river case study |
| topic | remote sensing cloud coastal morphology piaśnica coastal zone satellite observations |
| url | https://doi.org/10.26881/oahs-2022.3.04 |
| work_keys_str_mv | AT paszkutamarcin impactofcloudcoveronlocalremotesensingpiasnicarivercasestudy |