Matches in SemOpenAlex for { <https://semopenalex.org/work/W3172184887> ?p ?o ?g. }
Showing items 1 to 67 of
67
with 100 items per page.
- W3172184887 abstract "<p>Asia is the world&#8217;s most important region for aquaculture and generates almost 90 percent of the total production. The farming of fish and shrimp in land-based aquaculture systems expanded mainly along the shorelines of South Asia, Southeast Asia, and East Asia, and is a primary protein source for millions of people. The production of fish and shrimp in freshwater and brackish water ponds in coastal regions of Asia has increased rapidly since the 1990s due to the rising demand for protein-rich foods from a growing (world) population. The aquaculture sector generates income, employment and contributes to food security, has become a billion-dollar industry with high socio-economic value, but has also led to severe environmental degradation. In this regard, geospatial information on aquaculture can support the management of this growing food sector for the sustainable development of coastal ecosystems, resources and human health.</p><p>With free and open access to the rapidly growing volume of data from the European Sentinel satellites as well as using machine learning algorithms and cloud computing services, we extracted coastal aquaculture at a continental-scale. We present a multi-sensor approach which utilizes Earth Observation time series data for the mapping of pond aquaculture within the entire Asian coastal zone, defined as a buffer of 200km from the coastline. In this research, we developed an object-based framework to detect and extract aquaculture at single pond level based on temporal features derived from high spatial resolution SAR and optical satellite acquired from the Sentinel-1 and Sentinel-2 satellites. In a second step, we performed spatial and statistical data analyses of the Earth observation derived aquaculture dataset to investigate spatial distribution and to identify production hotspots in various administrative units at regional, national, and sub-national scale.</p>" @default.
- W3172184887 created "2021-06-22" @default.
- W3172184887 creator A5078041885 @default.
- W3172184887 creator A5086667245 @default.
- W3172184887 creator A5090274520 @default.
- W3172184887 date "2021-03-04" @default.
- W3172184887 modified "2023-09-25" @default.
- W3172184887 title "Mapping pond aquaculture for the entire coastal zone of Asia using high resolution Sentinel-1 and Sentinel-2 data " @default.
- W3172184887 cites W2919571732 @default.
- W3172184887 doi "https://doi.org/10.5194/egusphere-egu21-16024" @default.
- W3172184887 hasPublicationYear "2021" @default.
- W3172184887 type Work @default.
- W3172184887 sameAs 3172184887 @default.
- W3172184887 citedByCount "0" @default.
- W3172184887 crossrefType "posted-content" @default.
- W3172184887 hasAuthorship W3172184887A5078041885 @default.
- W3172184887 hasAuthorship W3172184887A5086667245 @default.
- W3172184887 hasAuthorship W3172184887A5090274520 @default.
- W3172184887 hasBestOaLocation W31721848872 @default.
- W3172184887 hasConcept C118518473 @default.
- W3172184887 hasConcept C144024400 @default.
- W3172184887 hasConcept C14849681 @default.
- W3172184887 hasConcept C149923435 @default.
- W3172184887 hasConcept C166957645 @default.
- W3172184887 hasConcept C205649164 @default.
- W3172184887 hasConcept C2776841996 @default.
- W3172184887 hasConcept C2908647359 @default.
- W3172184887 hasConcept C2909208804 @default.
- W3172184887 hasConcept C505870484 @default.
- W3172184887 hasConcept C549605437 @default.
- W3172184887 hasConcept C62649853 @default.
- W3172184887 hasConcept C86803240 @default.
- W3172184887 hasConcept C86909935 @default.
- W3172184887 hasConcept C9770341 @default.
- W3172184887 hasConceptScore W3172184887C118518473 @default.
- W3172184887 hasConceptScore W3172184887C144024400 @default.
- W3172184887 hasConceptScore W3172184887C14849681 @default.
- W3172184887 hasConceptScore W3172184887C149923435 @default.
- W3172184887 hasConceptScore W3172184887C166957645 @default.
- W3172184887 hasConceptScore W3172184887C205649164 @default.
- W3172184887 hasConceptScore W3172184887C2776841996 @default.
- W3172184887 hasConceptScore W3172184887C2908647359 @default.
- W3172184887 hasConceptScore W3172184887C2909208804 @default.
- W3172184887 hasConceptScore W3172184887C505870484 @default.
- W3172184887 hasConceptScore W3172184887C549605437 @default.
- W3172184887 hasConceptScore W3172184887C62649853 @default.
- W3172184887 hasConceptScore W3172184887C86803240 @default.
- W3172184887 hasConceptScore W3172184887C86909935 @default.
- W3172184887 hasConceptScore W3172184887C9770341 @default.
- W3172184887 hasLocation W31721848871 @default.
- W3172184887 hasLocation W31721848872 @default.
- W3172184887 hasOpenAccess W3172184887 @default.
- W3172184887 hasPrimaryLocation W31721848871 @default.
- W3172184887 hasRelatedWork W121723894 @default.
- W3172184887 hasRelatedWork W137029016 @default.
- W3172184887 hasRelatedWork W142234398 @default.
- W3172184887 hasRelatedWork W195622105 @default.
- W3172184887 hasRelatedWork W2472576781 @default.
- W3172184887 hasRelatedWork W2558724165 @default.
- W3172184887 hasRelatedWork W2995399647 @default.
- W3172184887 hasRelatedWork W4213352612 @default.
- W3172184887 hasRelatedWork W4309048316 @default.
- W3172184887 hasRelatedWork W4362707875 @default.
- W3172184887 isParatext "false" @default.
- W3172184887 isRetracted "false" @default.
- W3172184887 magId "3172184887" @default.
- W3172184887 workType "article" @default.