Matches in SemOpenAlex for { <https://semopenalex.org/work/W4321605502> ?p ?o ?g. }
Showing items 1 to 54 of
54
with 100 items per page.
- W4321605502 abstract "With the development of remote sensing technology and artificial intelligence, land use data emerge in endlessly. In order to explore the characteristics, suitability and advantages and disadvantages of different land use datasets, this paper takes Shanghai as an example to analyse the land use change trend of ESACCI, GlobeLand 30 and MCD12Q1 datasets from 2000 to 2020 by using land use dynamic degree. Based on CA-Markov model, the development trend of land use change in 2020 and 2030 is simulated and predicted, respectively. Results: (1) The CA-Markov model was verified, and the Kappa coefficient of accuracy test was greater than 0.75, indicating that the model was reliable. (2) Comparing and analysing the existing data of the three datasets, the results show that there are great differences in different land use datasets; (3) Comparing the simulation results of three datasets, the results show that there is no necessary connection between data resolution and simulation results." @default.
- W4321605502 created "2023-02-24" @default.
- W4321605502 creator A5029062940 @default.
- W4321605502 creator A5043548981 @default.
- W4321605502 creator A5047748151 @default.
- W4321605502 creator A5079228652 @default.
- W4321605502 creator A5083368750 @default.
- W4321605502 date "2023-02-23" @default.
- W4321605502 modified "2023-10-16" @default.
- W4321605502 title "Comparison of CA-Markov prediction results from different datasets" @default.
- W4321605502 cites W2102182928 @default.
- W4321605502 cites W2107861740 @default.
- W4321605502 cites W2944110300 @default.
- W4321605502 cites W3021745162 @default.
- W4321605502 cites W3041298598 @default.
- W4321605502 cites W4205861169 @default.
- W4321605502 doi "https://doi.org/10.1117/12.2668178" @default.
- W4321605502 hasPublicationYear "2023" @default.
- W4321605502 type Work @default.
- W4321605502 citedByCount "0" @default.
- W4321605502 crossrefType "proceedings-article" @default.
- W4321605502 hasAuthorship W4321605502A5029062940 @default.
- W4321605502 hasAuthorship W4321605502A5043548981 @default.
- W4321605502 hasAuthorship W4321605502A5047748151 @default.
- W4321605502 hasAuthorship W4321605502A5079228652 @default.
- W4321605502 hasAuthorship W4321605502A5083368750 @default.
- W4321605502 hasConcept C119857082 @default.
- W4321605502 hasConcept C153180895 @default.
- W4321605502 hasConcept C154945302 @default.
- W4321605502 hasConcept C163836022 @default.
- W4321605502 hasConcept C41008148 @default.
- W4321605502 hasConcept C98763669 @default.
- W4321605502 hasConceptScore W4321605502C119857082 @default.
- W4321605502 hasConceptScore W4321605502C153180895 @default.
- W4321605502 hasConceptScore W4321605502C154945302 @default.
- W4321605502 hasConceptScore W4321605502C163836022 @default.
- W4321605502 hasConceptScore W4321605502C41008148 @default.
- W4321605502 hasConceptScore W4321605502C98763669 @default.
- W4321605502 hasLocation W43216055021 @default.
- W4321605502 hasOpenAccess W4321605502 @default.
- W4321605502 hasPrimaryLocation W43216055021 @default.
- W4321605502 hasRelatedWork W2389529561 @default.
- W4321605502 hasRelatedWork W2961085424 @default.
- W4321605502 hasRelatedWork W3046775127 @default.
- W4321605502 hasRelatedWork W3170094116 @default.
- W4321605502 hasRelatedWork W4205958290 @default.
- W4321605502 hasRelatedWork W4285260836 @default.
- W4321605502 hasRelatedWork W4286629047 @default.
- W4321605502 hasRelatedWork W4306321456 @default.
- W4321605502 hasRelatedWork W4306674287 @default.
- W4321605502 hasRelatedWork W4224009465 @default.
- W4321605502 isParatext "false" @default.
- W4321605502 isRetracted "false" @default.
- W4321605502 workType "article" @default.