FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3036548982> ?p ?o ?g. }

• W3036548982 endingPage "111892" @default.
• W3036548982 startingPage "111892" @default.
• W3036548982 abstract "Wetlands are the most fragile and threatened ecosystems worldwide, and also one of the most rapidly declining. At the same time wetlands are typically biodiversity hotspots and provide a range of valuable ecosystem services, such as water supply and purification, disaster risk reduction, climate change adaptation, and carbon sequestration. Pressures on wetlands are likely to further intensify in the coming decades due to increased global demand for land and water, and due to climate change. Stakeholders at all levels of governance have to be involved to slow, stop and reverse these processes. However, the information they need on wetland extent, their ecological character, and their ecosystem services is often scattered, sparse and difficult to find and access. The freely available Sentinel satellite data of the Copernicus Programme, as well as the Landsat archive, provide a comprehensive basis to map and inventory wetland areas (extent), to derive information on the ecological status, as well as long- and short-term trends in wetland characteristics. However, making use of these Earth Observation (EO) resources for robust and standardized wetland monitoring requires expert knowledge on often complex data processing techniques, which impedes practical implementation. In this respect, the Satellite-based Wetland Observation Service (SWOS), a Horizon 2020 funded project (www.swos-service.eu) has developed and made disseminated monitoring approaches based on EO data, specifically designed for less experienced satellite data users. The SWOS monitoring tools aim at assisting countries in conducting national wetland inventories for their Sustainable Development Goals (SDG) reporting and monitoring obligations, and additionally facilitates other monitoring obligations such as those required by the Ramsar Convention and supports decision-making in local conservation activities. The four main components of the SWOS approach are: map and indicator production; software development; capacity building; and initializing the GEO Wetlands Community Portal. Wetland managers and data analysists from more than fifty wetland sites and river basins across Europe, the Middle East, and Africa investigated the benefits and limitations of this EO-based wetland mapping and monitoring approach. We describe research that applies the SWOS tools to test their potential for the mapping of wetlands in a case study based in Albania, and show its effectiveness to derive metrics relevant to the monitoring of SDG indicator 6.6.1." @default.
• W3036548982 created "2020-06-25" @default.
• W3036548982 creator A5002464522 @default.
• W3036548982 creator A5009991660 @default.
• W3036548982 creator A5010827247 @default.
• W3036548982 creator A5016664786 @default.
• W3036548982 creator A5017711664 @default.
• W3036548982 creator A5017868081 @default.
• W3036548982 creator A5019979369 @default.
• W3036548982 creator A5022855387 @default.
• W3036548982 creator A5028311014 @default.
• W3036548982 creator A5031347197 @default.
• W3036548982 creator A5032090932 @default.
• W3036548982 creator A5032354501 @default.
• W3036548982 creator A5033588904 @default.
• W3036548982 creator A5042355458 @default.
• W3036548982 creator A5044582060 @default.
• W3036548982 creator A5050666150 @default.
• W3036548982 creator A5050717531 @default.
• W3036548982 creator A5052136639 @default.
• W3036548982 creator A5059199287 @default.
• W3036548982 creator A5066295076 @default.
• W3036548982 creator A5066654067 @default.
• W3036548982 creator A5077049735 @default.
• W3036548982 creator A5077931159 @default.
• W3036548982 creator A5083150170 @default.
• W3036548982 creator A5089072765 @default.
• W3036548982 creator A5089800897 @default.
• W3036548982 creator A5091107460 @default.
• W3036548982 date "2020-09-01" @default.
• W3036548982 modified "2023-10-06" @default.
• W3036548982 title "Wetland extent tools for SDG 6.6.1 reporting from the Satellite-based Wetland Observation Service (SWOS)" @default.
• W3036548982 cites W1606999916 @default.
• W3036548982 cites W1927159739 @default.
• W3036548982 cites W1976900991 @default.
• W3036548982 cites W1981646498 @default.
• W3036548982 cites W1991145689 @default.
• W3036548982 cites W1998477765 @default.
• W3036548982 cites W2009063009 @default.
• W3036548982 cites W2011500029 @default.
• W3036548982 cites W2022125621 @default.
• W3036548982 cites W2036745212 @default.
• W3036548982 cites W2038235239 @default.
• W3036548982 cites W2041828289 @default.
• W3036548982 cites W2052323809 @default.
• W3036548982 cites W2058662258 @default.
• W3036548982 cites W2064263183 @default.
• W3036548982 cites W2068627644 @default.
• W3036548982 cites W2086306166 @default.
• W3036548982 cites W2098653311 @default.
• W3036548982 cites W2108484081 @default.
• W3036548982 cites W2121958618 @default.
• W3036548982 cites W2127170577 @default.
• W3036548982 cites W2133978933 @default.
• W3036548982 cites W2150199809 @default.
• W3036548982 cites W2180198116 @default.
• W3036548982 cites W2198342421 @default.
• W3036548982 cites W2254296755 @default.
• W3036548982 cites W2300415889 @default.
• W3036548982 cites W2312858779 @default.
• W3036548982 cites W2527207704 @default.
• W3036548982 cites W2567493576 @default.
• W3036548982 cites W2604409186 @default.
• W3036548982 cites W2728562011 @default.
• W3036548982 cites W2749937348 @default.
• W3036548982 cites W2772365113 @default.
• W3036548982 cites W2783645526 @default.
• W3036548982 cites W2793688232 @default.
• W3036548982 cites W2795971879 @default.
• W3036548982 cites W2805775763 @default.
• W3036548982 cites W2904201759 @default.
• W3036548982 cites W2906454573 @default.
• W3036548982 cites W2907459272 @default.
• W3036548982 cites W2917491519 @default.
• W3036548982 cites W2938610884 @default.
• W3036548982 cites W2963464321 @default.
• W3036548982 cites W2976729717 @default.
• W3036548982 doi "https://doi.org/10.1016/j.rse.2020.111892" @default.
• W3036548982 hasPublicationYear "2020" @default.
• W3036548982 type Work @default.
• W3036548982 sameAs 3036548982 @default.
• W3036548982 citedByCount "38" @default.
• W3036548982 countsByYear W30365489822020 @default.
• W3036548982 countsByYear W30365489822021 @default.
• W3036548982 countsByYear W30365489822022 @default.
• W3036548982 countsByYear W30365489822023 @default.
• W3036548982 crossrefType "journal-article" @default.
• W3036548982 hasAuthorship W3036548982A5002464522 @default.
• W3036548982 hasAuthorship W3036548982A5009991660 @default.
• W3036548982 hasAuthorship W3036548982A5010827247 @default.
• W3036548982 hasAuthorship W3036548982A5016664786 @default.
• W3036548982 hasAuthorship W3036548982A5017711664 @default.
• W3036548982 hasAuthorship W3036548982A5017868081 @default.
• W3036548982 hasAuthorship W3036548982A5019979369 @default.
• W3036548982 hasAuthorship W3036548982A5022855387 @default.
• W3036548982 hasAuthorship W3036548982A5028311014 @default.
• W3036548982 hasAuthorship W3036548982A5031347197 @default.
• W3036548982 hasAuthorship W3036548982A5032090932 @default.

• next