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Globalland30 Mapping Capacity of Land Surface Water in Thessaly, Greece
(2025-06-19)
The National Geomatics Center of China (NGCC) produced Global Land Cover (GlobalLand30) maps with 30 m spatial resolution for the years 2000 and 2009–2010, responding to the need for harmonized, accurate, and high-resolution global land cover data. This study aims to assess the mapping accuracy of the land surface water layer of GlobalLand30 for 2009–2010. A representative Mediterranean region, situated in Greece, is considered as the case study area, with 2009 as the reference year. The assessment is realized through an object-based comparison of the GlobalLand30 water layer with the ground truth and visually interpreted data from the Hellenic Cadastre fine spatial resolution (0.5 m) orthophoto map layer. GlobCover 2009, GlobCorine 2009, and GLCNMO 2008 corresponding thematic layers are utilized to show and quantify the progress brought along with the increment of the spatial resolution, from 500 m to 300 m and finally to 30 m with the newly produced GlobalLand30 maps. GlobalLand30 detected land surface water areas show a 91.9% overlap with the reference data, while the coarser resolution products are restricted to lower accuracies.Validation is extended to the drainage network elements, i.e., rivers and streams, where GlobalLand30 outperforms the other global map products, as well.
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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
(2024-03-05)
M. Tompoulidou
;
E. Karadimou
;
A. Apostolakis
;
V. Tsiaoussi
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.
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Mapping and assessment of the state of wetland ecosystems: a Mediterranean perspective
(2022-05-30)
The Pan-Mediterranean wetland ecosystem map fills a major knowledge gap in the region by setting a Mediterranean-wide knowledge base on wetland ecosystems following the Ramsar definition of wetlands. The wetland ecosystem mapping is complemented by the assessment of wetland biodiversity conditions that aims to highlight priority areas for potential conservation and restoration actions in the region, and to support the regional efforts in advocating for effective wetland management and nature-based solutions in the Mediterranean region. The outputs of this activity include (i) a Pan-Mediterranean wetland ecosystem knowledge base, and (ii) an assessment of their condition that will be used to raise awareness and advocate for a change in wetland management that promotes effective protection, conservation and restoration. The outputs also support regional and national inventories, filling a major regional gap locating Mediterranean wetland habitats, and feed regional and global agendas, namely the EU Biodiversity Strategy to 2030, the Mediterranean Strategy for Sustainable development as well as the Ramsar Convention.
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Multitemporal optical and radar metrics for wetland mapping at national level in Albania
(2020-08-24)
Muro Javier, Ana Varea, Adrian Strauch, Anis Guelmami, Eleni Fitoka, Frank Thonfeld, Bernd Diekkrüger, and Björn Waske. 2020. Multitemporal optical and radar metrics for wetland mapping at national level in Albania. Heliyon 6 (8) 2020: e04496,https://doi.org/10.1016/j.heliyon.2020.e04496.
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Water-related ecosystems' mapping and assessment based on remote sensing techniques and geospatial analysis: The SWOS national service case of the Greek Ramsar sites and their catchments
(2020-05-08)
E. Fitoka
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MAES Service Case: Wetland ecosystem condition mapping (v.1.0)
(2019-07-05)
C. Schröder
;
D. Abdul Malak
;
A. Sánchez
;
E. Fitoka
;
L. Hatziiordanou
The MAES working group is preparing the workshop on “ecosystem condition mapping” to streamline the efforts done so far with regards to the mapping and assessment of the condition of Europe’s ecosystems. The MAES WG has requested directly to SWOS partners a specific document to support the mapping and assessing wetland ecosystem condition for this workshop. This document shall highlight the different elements to take into account for the mapping and assessment of wetland ecosystems with the aim of supporting Member States and the European Commission in their efforts to better describe the situation of wetland ecosystems in Europe. This document represents the major output of the MAES Service case that shall show how SWOS outputs are useful to support the MAES WG with regards to wetland ecosystem mapping and assessment.
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Indicators for mapping and assessment of ecosystem condition and of the ecosystem service habitat maintenance in support of the EU Biodiversity Strategy to 2020
(2019-06-28)
L. Hatziiordanou
;
E. Fitoka
;
E. Hadjicharalampous
A systematic approach to map and assess the “maintenance of nursery populations and habitats” ecosystem service (ES) (hereinafter called “habitat maintenance”) has not yet emerged. In this article, we present an ecosystem service framework implementation at landscape level, by proposing an approach for calculating and combining a series of indicators with spatial modelling techniques. Necessary conceptual elements for this approach are: a) ecosystem condition, b) supply and demand of the targeted ecosystem service and c) spatial relationships between the Service Providing Units (SPU) and the Service Connecting Units (SCU). Ecosystem condition is quantified and mapped based on two indicators, the Biodiversity State and the Anthropogenic Impact. Quantification and mapping of supply and demand are based on the hypothesis that high supply can be activated in strictly protected areas and that a demand is localised in the Natura 2000 sites (N2K), considering them as the Service Benefit Areas (SBA). Wetlands are assessed as SCU between the SBA and the landscape areas where the habitat maintenance ES is supplied. By assessing wetlands as SCU, we intent to highlight their role as biodiversity stepping stones and as green infrastructures. Overall, we conclude that the EU biodiversity policy demand for no net loss and for a coherent N2K network can be met by enhancing the delivery of the habitat maintenance ES. This approach can assist policy-makers in prioritisation of conservation and restoration targets, in line with the EU biodiversity strategy to 2020 and the preparation of the post-2020 Strategy. One Ecosystem 4: e32704. https://doi.org/10.3897/oneeco.4.e32704

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