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Simulating large-scale urban land-use patterns and dynamics using the U-Net deep learning architecture
Version 2 2024-06-02, 14:36
Version 1 2022-12-08, 23:44
journal contribution
posted on 2024-06-02, 14:36 authored by J Wang, Michalis HadjikakouMichalis Hadjikakou, RJ Hewitt, Brett BryanBrett BryanSimulating large-scale urban land-use patterns and dynamics using the U-Net deep learning architecture
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Journal
Computers, Environment and Urban SystemsVolume
97Article number
ARTN 101855Pagination
1-14Location
Amsterdeam, The NetherlandsPublisher DOI
ISSN
0198-9715eISSN
1873-7587Language
EnglishPublication classification
C1 Refereed article in a scholarly journalPublisher
ELSEVIER SCI LTDUsage metrics
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Keywords
Science & TechnologySocial SciencesTechnologyLife Sciences & BiomedicineComputer Science, Interdisciplinary ApplicationsEngineering, EnvironmentalEnvironmental StudiesGeographyOperations Research & Management ScienceRegional & Urban PlanningComputer ScienceEngineeringEnvironmental Sciences & EcologyPublic AdministrationDeep learningUrban expansion simulationCellular automataSpatial patternCELLULAR-AUTOMATAMODELSMETRICSGROWTHSchool of Life and Environmental SciencesCentre for Integrative EcologyFaculty of Science Engineering and Built Environment
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