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DOI | 10.1016/j.rse.2020.111795 |
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 | |
Fitoka E.; Tompoulidou M.; Hatziiordanou L.; Apostolakis A.; Höfer R.; Weise K.; Ververis C. | |
发表日期 | 2020 |
ISSN | 00344257 |
卷号 | 245 |
英文摘要 | Mapping and assessment of water-related ecosystems is a challenging task that requires advanced processing techniques with clear rules and standards in terminology and definition of class features. These ecosystems are hydrologically and ecologically connected at catchment level and co-exist within a human context. The SWOS (Satellite based Wetland Observation Service - Horizon 2020) national service case for mapping and assessing the 10 Greek Ramsar wetland sites and their catchment areas is built on the requirements of the Ramsar Convention on Wetlands and of the Aichi Biodiversity Targets of the Strategic Plan for Biodiversity 2011–2020. It contributes directly to Sustainable Development Goal (SDG) Global Indicator 6.6.1 “Sub-Indicator 1 – spatial extent of water-related ecosystems”. An Object-Based Image Analysis (OBIA) approach was adopted using Sentinel-2 satellite images for the year 2017, to discriminate 31 classes (wetland and non-wetland) over an area of 2,015,591 ha. The classification model was further adjusted to Landsat 5 TM imagery of previous years (1986–1987) in order to extract possible changes in the spatial extent of water-related ecosystems. The Mapping and Assessment of Ecosystems and their Services (MAES) ecosystem typology, as this was enhanced within SWOS, was applied. Results demonstrate the effectiveness of the employed classification model, techniques and rules, in obtaining highly accurate (over 90%) mapping results on the spatial extent of water-related ecosystems. Also, they highlight the contribution of Earth Observation (EO) and geospatial analysis in assessments of area-based changes and their causes, as well as in identification of conservation and management priorities (i.e. areas for restoration). In addition, to address the need to strengthen national capacities, the established SWOS service lines have been used as a contribution to the user community. © 2020 The Authors |
英文关键词 | Landsat 5TM; MAES nomenclature; Object based image analysis; Ramsar convention; SDG 6.6.1 indicator; Sentinel 2MSI; Wetland ecosystem extent |
语种 | 英语 |
scopus关键词 | Biodiversity; Mapping; Remote sensing; Runoff; Wetlands; Advanced processing techniques; Classification models; Earth observations; Geo-spatial analysis; Global indicators; Object based image analysis (OBIA); Remote sensing techniques; Rules and standards; Ecosystems; catchment; ecosystem service; Landsat; mapping method; Ramsar Convention; remote sensing; Sustainable Development Goal; wetland; Iran; Mazandaran; Sakht Sar |
来源期刊 | Remote Sensing of Environment |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/179317 |
作者单位 | The Goulandris Natural History Museum - Greek Biotope Wetland Centre (EKBY), Greece; Jena Optronik GmbH, Germany; Ministry of Environment and Energy, Department of Protected Areas, Greece |
推荐引用方式 GB/T 7714 | Fitoka E.,Tompoulidou M.,Hatziiordanou L.,et al. 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[J],2020,245. |
APA | Fitoka E..,Tompoulidou M..,Hatziiordanou L..,Apostolakis A..,Höfer R..,...&Ververis C..(2020).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.Remote Sensing of Environment,245. |
MLA | Fitoka E.,et al."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".Remote Sensing of Environment 245(2020). |
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