DIGITAL REPOSITORY AT EKBY
Please use this identifier to cite or link to this item: http://hdl.handle.net/11340/2110

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
Authors: M. Tompoulidou
E. Karadimou
A. Apostolakis
V. Tsiaousi
Date: 2024
Abstract: 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.
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
URI: http://hdl.handle.net/11340/2110
Keywords: Χαρτογράφηση
Υδρόβια βλάστηση
Υγρότοποι
Λίμνες
Type: Μελέτες - Εκθέσεις - Άρθρα
Spatial: Τεχνητή Λίμνη Φενεού
Λίμνη Τριχωνίδα
Rights: http://creativecommons.org/licenses/by/4.0/
Appears in Collections:Η Συλλογή του ΕΚΒΥ

Files in This Item:

File Description SizeFormat
1859.pdfΆρθρα3.98 MBAdobe PDFThumbnail
View/Open
View Statistics

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

 

EKBY © 2014