Simulating spatiotemporal land use change in middle and high latitude regions using multiscale fusion and cellular automata: The case of Northeast China

Simulating spatiotemporal land use change in middle and high latitude regions using multiscale fusion and cellular automata: The case of Northeast China

Global warming-induced land use change in middle and high latitude regions remains an important and challenging topic for sustainable development. Although a large amount of remote sensing imageries is available for extracting land use information, there are unavoidable inconsistencies among land us...

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Bibliographic Details
Main Authors: Cen, L.-Y (Author), Li, Y. (Author), Lin, A.-Q (Author), Liu, H. (Author), Song, D.-X (Author), Wu, H. (Author), Wu, X. (Author)
Format: Article
Language:English
Published: Elsevier B.V. 2021
Subjects:
accuracy assessment
CA-Markov
CA-markov model
CA-Markov model
Cellular automata
cellular automaton
Cellular automatons
China
Data fusion
Farms
Food supply
Forestry
global warming
Global warming
High-latitude regions
Land use
land use change
Land use change
Land use simulation
Landuse change
latitude
Majority voting
Majority Voting
Markov modeling
Markov processes
Multiscale fusion
Northeast China
Planning
remote sensing
Remote sensing
satellite imagery
simulation
spatiotemporal analysis
Stochastic models
Stochastic systems
sustainable development
Sustainable development
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