A Geographic Object-Based Image Approach Based on the Sentinel-2 Multispectral Instrument for Lake Aquatic Vegetation Mapping: A Complementary Tool to In Situ Monitoring
Tompoulidou Maria, Elpida Karadimou, Antonis Apostolakis, and Vasiliki Tsiaoussi. 2024. A Geographic Object-Based Image Approach Based on the Sentinel-2 Multispectral Instrument for Lake Aquatic Vegetation Mapping: A Complementary Tool to In Situ Monitoring. Remote Sensing 16(5): 916. https://doi.or...
| Main Authors: | , , , |
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| Format: | Scientific Journal Article |
| Language: | English |
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2024
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| Online Access: | https://repository.biodiversity-info.gr/handle/11340/2515 |
| _version_ | 1867437365081931776 |
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| author | M. Tompoulidou E. Karadimou A. Apostolakis V. Tsiaoussi |
| author_browse | A. Apostolakis E. Karadimou M. Tompoulidou V. Tsiaoussi |
| author_facet | M. Tompoulidou E. Karadimou A. Apostolakis V. Tsiaoussi |
| author_sort | M. Tompoulidou |
| collection | Digital Library |
| description | Tompoulidou Maria, Elpida Karadimou, Antonis Apostolakis, and Vasiliki Tsiaoussi. 2024. A Geographic Object-Based Image Approach Based on the Sentinel-2 Multispectral Instrument for Lake Aquatic Vegetation Mapping: A Complementary Tool to In Situ Monitoring. Remote Sensing 16(5): 916. https://doi.org/10.3390/rs16050916 |
| format | scientific-journal-article |
| geographic | Λίμνη Τριχωνίδα Τεχνητή Λίμνη Φενεού |
| geographic_facet | Λίμνη Τριχωνίδα Τεχνητή Λίμνη Φενεού |
| id | ir-11340-2515 |
| institution | EKBY |
| language | eng |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| record_format | dspace |
| spelling | ir-11340-25152026-05-27T10:12:02Z A Geographic Object-Based Image Approach Based on the Sentinel-2 Multispectral Instrument for Lake Aquatic Vegetation Mapping: A Complementary Tool to In Situ Monitoring M. Tompoulidou E. Karadimou A. Apostolakis V. Tsiaoussi Χαρτογράφηση Υδρόβια βλάστηση Υγρότοποι Λίμνες Δορυφορική τηλεπισκόπηση Tompoulidou Maria, Elpida Karadimou, Antonis Apostolakis, and Vasiliki Tsiaoussi. 2024. A Geographic Object-Based Image Approach Based on the Sentinel-2 Multispectral Instrument for Lake Aquatic Vegetation Mapping: A Complementary Tool to In Situ Monitoring. Remote Sensing 16(5): 916. https://doi.org/10.3390/rs16050916 Aquatic vegetation is an essential component of lake ecosystems, used as a biological indicator for in situ monitoring within the Water Framework Directive. We developed a hierarchical object-based image classification model with multi-seasonal Sentinel-2 imagery and suitable spectral indices in order to map the aquatic vegetation in a Mediterranean oligotrophic/mesotrophic deep lake; we then applied the model to another lake with similar abiotic and biotic characteristics. Field data from a survey of aquatic macrophytes, undertaken on the same dates as EO data, were used within the accuracy assessment. The aquatic vegetation was discerned into three classes: emergent, floating, and submerged aquatic vegetation. Geographic object-based image analysis (GEOBIA) proved to be effective in discriminating the three classes in both study areas. Results showed high effectiveness of the classification model in terms of overall accuracy, particularly for the emergent and floating classes. In the case of submerged aquatic vegetation, challenges in their classification prompted us to establish specific criteria for their accurate detection. Overall results showed that GEOBIA based on spectral indices was suitable for mapping aquatic vegetation in oligotrophic/mesotrophic deep lakes. EO data can contribute to large-scale coverage and high-frequency monitoring requirements, being a complementary tool to in situ monitoring. Aquatic vegetation is an essential component of lake ecosystems, used as a biological indicator for in situ monitoring within the Water Framework Directive. We developed a hierarchical object-based image classification model with multi-seasonal Sentinel-2 imagery and suitable spectral indices in order to map the aquatic vegetation in a Mediterranean oligotrophic/mesotrophic deep lake; we then applied the model to another lake with similar abiotic and biotic characteristics. Field data from a survey of aquatic macrophytes, undertaken on the same dates as EO data, were used within the accuracy assessment. The aquatic vegetation was discerned into three classes: emergent, floating, and submerged aquatic vegetation. Geographic object-based image analysis (GEOBIA) proved to be effective in discriminating the three classes in both study areas. Results showed high effectiveness of the classification model in terms of overall accuracy, particularly for the emergent and floating classes. In the case of submerged aquatic vegetation, challenges in their classification prompted us to establish specific criteria for their accurate detection. Overall results showed that GEOBIA based on spectral indices was suitable for mapping aquatic vegetation in oligotrophic/mesotrophic deep lakes. EO data can contribute to large-scale coverage and high-frequency monitoring requirements, being a complementary tool to in situ monitoring. Έργο "Παρακολούθηση λιμνών" 2024-03-05T12:59:15Z 2026-04-08T15:38:50Z 2024-03-05T12:59:15Z 2024-03-05 scientific-journal-article https://repository.biodiversity-info.gr/handle/11340/2515 eng Έργο "Παρακολούθηση λιμνών" http://creativecommons.org/licenses/by/4.0/ application/pdf application/pdf Λίμνη Τριχωνίδα Τεχνητή Λίμνη Φενεού |
| spellingShingle | Χαρτογράφηση Υδρόβια βλάστηση Υγρότοποι Λίμνες Δορυφορική τηλεπισκόπηση M. Tompoulidou E. Karadimou A. Apostolakis V. Tsiaoussi A Geographic Object-Based Image Approach Based on the Sentinel-2 Multispectral Instrument for Lake Aquatic Vegetation Mapping: A Complementary Tool to In Situ Monitoring |
| title | A Geographic Object-Based Image Approach Based on the Sentinel-2 Multispectral Instrument for Lake Aquatic Vegetation Mapping: A Complementary Tool to In Situ Monitoring |
| title_full | A Geographic Object-Based Image Approach Based on the Sentinel-2 Multispectral Instrument for Lake Aquatic Vegetation Mapping: A Complementary Tool to In Situ Monitoring |
| title_fullStr | A Geographic Object-Based Image Approach Based on the Sentinel-2 Multispectral Instrument for Lake Aquatic Vegetation Mapping: A Complementary Tool to In Situ Monitoring |
| title_full_unstemmed | A Geographic Object-Based Image Approach Based on the Sentinel-2 Multispectral Instrument for Lake Aquatic Vegetation Mapping: A Complementary Tool to In Situ Monitoring |
| title_short | A Geographic Object-Based Image Approach Based on the Sentinel-2 Multispectral Instrument for Lake Aquatic Vegetation Mapping: A Complementary Tool to In Situ Monitoring |
| title_sort | geographic object based image approach based on the sentinel 2 multispectral instrument for lake aquatic vegetation mapping a complementary tool to in situ monitoring |
| topic | Χαρτογράφηση Υδρόβια βλάστηση Υγρότοποι Λίμνες Δορυφορική τηλεπισκόπηση |
| url | https://repository.biodiversity-info.gr/handle/11340/2515 |
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