Joining Application of Unmanned Aerial Vehicle Imagery with GIS for Monitoring of Soft Cliff Linear Habitats
In the coastal zone, two types of habitats—linear and areal—are distinguished. The main differences between both types are their shape and structure and the hydro- and litho-dynamic, salinity, and ecological gradients. Studying linear littoral habitats is essential for interpreting the ’coastal sque...
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MDPI AG
2025-01-01
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| Series: | Journal of Marine Science and Engineering |
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| Online Access: | https://www.mdpi.com/2077-1312/13/1/80 |
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| author | Egidijus Jurkus Julius Taminskas Ramūnas Povilanskas Arvydas Urbis Jovita Mėžinė Domantas Urbis |
| author_facet | Egidijus Jurkus Julius Taminskas Ramūnas Povilanskas Arvydas Urbis Jovita Mėžinė Domantas Urbis |
| author_sort | Egidijus Jurkus |
| collection | DOAJ |
| description | In the coastal zone, two types of habitats—linear and areal—are distinguished. The main differences between both types are their shape and structure and the hydro- and litho-dynamic, salinity, and ecological gradients. Studying linear littoral habitats is essential for interpreting the ’coastal squeeze’ effect. The study’s main objective was to assess short-term behavior of soft cliffs as littoral linear habitats during calm season storm events in the example of the Olandų Kepurė cliff, located on a peri-urban protected seashore (Baltic Sea, Lithuania). The approach combined the surveillance of the cliff using unmanned aerial vehicles (UAVs) with the data analysis using an ArcGIS algorithm specially adjusted for linear habitats. The authors discerned two short-term behavior forms—cliff base cavities and scarp slumps. The scarp slumps are more widely spread. It is particularly noticeable at the beginning of the spring–summer period when the difference between the occurrence of both forms is 3.5 times. In contrast, cliff base cavities proliferate in spring. This phenomenon might be related to a seasonal Baltic Sea level rise. The main conclusion is that 55 m long cliff cells are optimal for analyzing short-term cliff behavior using UAV and GIS. |
| format | Article |
| id | doaj-art-dfcbd09501b947b2b135e303e6f67c9a |
| institution | Kabale University |
| issn | 2077-1312 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Marine Science and Engineering |
| spelling | doaj-art-dfcbd09501b947b2b135e303e6f67c9a2025-01-24T13:36:47ZengMDPI AGJournal of Marine Science and Engineering2077-13122025-01-011318010.3390/jmse13010080Joining Application of Unmanned Aerial Vehicle Imagery with GIS for Monitoring of Soft Cliff Linear HabitatsEgidijus Jurkus0Julius Taminskas1Ramūnas Povilanskas2Arvydas Urbis3Jovita Mėžinė4Domantas Urbis5Nature Research Centre, 08412 Vilnius, LithuaniaNature Research Centre, 08412 Vilnius, LithuaniaDepartment of Social Geography and Tourism, Klaipeda University, 92294 Klaipėda, LithuaniaDepartment of Social Geography and Tourism, Klaipeda University, 92294 Klaipėda, LithuaniaMarine Research Institute, Klaipeda University, 92294 Klaipėda, LithuaniaAugustus Charity Foundation, 92277 Klaipeda, LithuaniaIn the coastal zone, two types of habitats—linear and areal—are distinguished. The main differences between both types are their shape and structure and the hydro- and litho-dynamic, salinity, and ecological gradients. Studying linear littoral habitats is essential for interpreting the ’coastal squeeze’ effect. The study’s main objective was to assess short-term behavior of soft cliffs as littoral linear habitats during calm season storm events in the example of the Olandų Kepurė cliff, located on a peri-urban protected seashore (Baltic Sea, Lithuania). The approach combined the surveillance of the cliff using unmanned aerial vehicles (UAVs) with the data analysis using an ArcGIS algorithm specially adjusted for linear habitats. The authors discerned two short-term behavior forms—cliff base cavities and scarp slumps. The scarp slumps are more widely spread. It is particularly noticeable at the beginning of the spring–summer period when the difference between the occurrence of both forms is 3.5 times. In contrast, cliff base cavities proliferate in spring. This phenomenon might be related to a seasonal Baltic Sea level rise. The main conclusion is that 55 m long cliff cells are optimal for analyzing short-term cliff behavior using UAV and GIS.https://www.mdpi.com/2077-1312/13/1/80Baltic Seacliff behavior unit (CBU)peri-urbanprotected seashoresoft cliff |
| spellingShingle | Egidijus Jurkus Julius Taminskas Ramūnas Povilanskas Arvydas Urbis Jovita Mėžinė Domantas Urbis Joining Application of Unmanned Aerial Vehicle Imagery with GIS for Monitoring of Soft Cliff Linear Habitats Journal of Marine Science and Engineering Baltic Sea cliff behavior unit (CBU) peri-urban protected seashore soft cliff |
| title | Joining Application of Unmanned Aerial Vehicle Imagery with GIS for Monitoring of Soft Cliff Linear Habitats |
| title_full | Joining Application of Unmanned Aerial Vehicle Imagery with GIS for Monitoring of Soft Cliff Linear Habitats |
| title_fullStr | Joining Application of Unmanned Aerial Vehicle Imagery with GIS for Monitoring of Soft Cliff Linear Habitats |
| title_full_unstemmed | Joining Application of Unmanned Aerial Vehicle Imagery with GIS for Monitoring of Soft Cliff Linear Habitats |
| title_short | Joining Application of Unmanned Aerial Vehicle Imagery with GIS for Monitoring of Soft Cliff Linear Habitats |
| title_sort | joining application of unmanned aerial vehicle imagery with gis for monitoring of soft cliff linear habitats |
| topic | Baltic Sea cliff behavior unit (CBU) peri-urban protected seashore soft cliff |
| url | https://www.mdpi.com/2077-1312/13/1/80 |
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