FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2944123163> ?p ?o ?g. }

• W2944123163 endingPage "1501" @default.
• W2944123163 startingPage "1490" @default.
• W2944123163 abstract "Abstract Information concerning land‐use change is imperative for improving conservation policies that promote sustainable land development. However, to date, most of the previous studies have largely focused on the use of coarse‐ or moderate‐resolution data, with which it may not be possible to identify the land‐use classes in urban environments. Due to the improved spatial details, high‐resolution (HR) remote sensing imagery provides us with an opportunity for the semantic interpretation of urban landscapes. Therefore, in this study, we took the City of Shenzhen (1997 km 2 ) in China as an example to assess the detailed land‐use change and its effect on ecosystem services (ESs), based on HR satellite data from 2005 to 2017. In particular, deep learning was used to obtain accurate land‐use maps, because this technique is able to model the hierarchical representations of features and can thus effectively characterize urban scenes. The results revealed the following findings: (a) The overall accuracy of the proposed approach was 96.9% and 97.1% for 2005 and 2017, respectively, outperforming state‐of‐the‐art semantic classification models; (b) residential and commercial areas in Shenzhen increased dramatically over the study period by 10,416 and 9,168 ha, at the expense of ecological land; (c) supply capacity of the ecosystem decreased by 13.7%, but demand for ESs showed an increase of 23.5%. By courtesy of HR images, detailed land‐use changes and the associated ESs can be monitored, which facilitates the in‐depth understanding of urban environmental systems." @default.
• W2944123163 created "2019-05-16" @default.
• W2944123163 creator A5027258433 @default.
• W2944123163 creator A5031729932 @default.
• W2944123163 creator A5032507421 @default.
• W2944123163 creator A5054439414 @default.
• W2944123163 creator A5058665327 @default.
• W2944123163 date "2019-05-28" @default.
• W2944123163 modified "2023-10-16" @default.
• W2944123163 title "Monitoring ecosystem service change in the City of Shenzhen by the use of high‐resolution remotely sensed imagery and deep learning" @default.
• W2944123163 cites W1544658556 @default.
• W2944123163 cites W1614009425 @default.
• W2944123163 cites W1728400114 @default.
• W2944123163 cites W1824774525 @default.
• W2944123163 cites W1980038761 @default.
• W2944123163 cites W2003425732 @default.
• W2944123163 cites W2005630222 @default.
• W2944123163 cites W2017804421 @default.
• W2944123163 cites W2025803711 @default.
• W2944123163 cites W2027016436 @default.
• W2944123163 cites W2027319213 @default.
• W2944123163 cites W2033113024 @default.
• W2944123163 cites W2033853930 @default.
• W2944123163 cites W2036236981 @default.
• W2944123163 cites W2043641758 @default.
• W2944123163 cites W2074087636 @default.
• W2944123163 cites W2085519352 @default.
• W2944123163 cites W2098085663 @default.
• W2944123163 cites W2123939500 @default.
• W2944123163 cites W2151103935 @default.
• W2944123163 cites W2153820558 @default.
• W2944123163 cites W2159658189 @default.
• W2944123163 cites W2160124416 @default.
• W2944123163 cites W2163352848 @default.
• W2944123163 cites W2290277228 @default.
• W2944123163 cites W2337872596 @default.
• W2944123163 cites W2511671655 @default.
• W2944123163 cites W2561508249 @default.
• W2944123163 cites W2562978865 @default.
• W2944123163 cites W2593892681 @default.
• W2944123163 cites W2610884537 @default.
• W2944123163 cites W2741739411 @default.
• W2944123163 cites W2765374544 @default.
• W2944123163 cites W2780377259 @default.
• W2944123163 cites W2782522152 @default.
• W2944123163 cites W2803946774 @default.
• W2944123163 cites W2814520768 @default.
• W2944123163 cites W2882677188 @default.
• W2944123163 cites W2883013245 @default.
• W2944123163 cites W2887831953 @default.
• W2944123163 cites W2914885528 @default.
• W2944123163 cites W2919115771 @default.
• W2944123163 cites W3105577662 @default.
• W2944123163 cites W915326106 @default.
• W2944123163 doi "https://doi.org/10.1002/ldr.3337" @default.
• W2944123163 hasPublicationYear "2019" @default.
• W2944123163 type Work @default.
• W2944123163 sameAs 2944123163 @default.
• W2944123163 citedByCount "34" @default.
• W2944123163 countsByYear W29441231632020 @default.
• W2944123163 countsByYear W29441231632021 @default.
• W2944123163 countsByYear W29441231632022 @default.
• W2944123163 countsByYear W29441231632023 @default.
• W2944123163 crossrefType "journal-article" @default.
• W2944123163 hasAuthorship W2944123163A5027258433 @default.
• W2944123163 hasAuthorship W2944123163A5031729932 @default.
• W2944123163 hasAuthorship W2944123163A5032507421 @default.
• W2944123163 hasAuthorship W2944123163A5054439414 @default.
• W2944123163 hasAuthorship W2944123163A5058665327 @default.
• W2944123163 hasConcept C107826830 @default.
• W2944123163 hasConcept C110872660 @default.
• W2944123163 hasConcept C122690726 @default.
• W2944123163 hasConcept C142724271 @default.
• W2944123163 hasConcept C18903297 @default.
• W2944123163 hasConcept C205649164 @default.
• W2944123163 hasConcept C2776133958 @default.
• W2944123163 hasConcept C2778102629 @default.
• W2944123163 hasConcept C2780648208 @default.
• W2944123163 hasConcept C39432304 @default.
• W2944123163 hasConcept C41008148 @default.
• W2944123163 hasConcept C4792198 @default.
• W2944123163 hasConcept C58941895 @default.
• W2944123163 hasConcept C62649853 @default.
• W2944123163 hasConcept C71924100 @default.
• W2944123163 hasConcept C86803240 @default.
• W2944123163 hasConceptScore W2944123163C107826830 @default.
• W2944123163 hasConceptScore W2944123163C110872660 @default.
• W2944123163 hasConceptScore W2944123163C122690726 @default.
• W2944123163 hasConceptScore W2944123163C142724271 @default.
• W2944123163 hasConceptScore W2944123163C18903297 @default.
• W2944123163 hasConceptScore W2944123163C205649164 @default.
• W2944123163 hasConceptScore W2944123163C2776133958 @default.
• W2944123163 hasConceptScore W2944123163C2778102629 @default.
• W2944123163 hasConceptScore W2944123163C2780648208 @default.
• W2944123163 hasConceptScore W2944123163C39432304 @default.
• W2944123163 hasConceptScore W2944123163C41008148 @default.
• W2944123163 hasConceptScore W2944123163C4792198 @default.
• W2944123163 hasConceptScore W2944123163C58941895 @default.

• next