Co-Evolution of Emerging Multi-Cities: Rates, Patterns and Driving Policies Revealed by Continuous Change Detection and Classification of Landsat Data

Co-Evolution of Emerging Multi-Cities: Rates, Patterns and Driving Policies Revealed by Continuous Change Detection and Classification of Landsat Data

The co-evolution of multi-cities has emerged as the primary form of urbanization in China in recent years. However, the processes, patterns, and coordination are not well characterized and understood, which hinders the understanding of the driving forces, consequences, and management of polycentric...

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Bibliographic Details
Main Authors: Maochou Liu, Shuguang Liu, Ying Ning, Yu Zhu, Rubén Valbuena, Rui Guo, Yuanyuan Li, Wenxi Tang, Dengkui Mo, Isabel M.D. Rosa, Mykola Kutia, Wenmin Hu
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Remote Sensing
Subjects:
Landsat
urban expansion
time series
Continuous Change Detection and Classification
Chang–Zhu–Tan urban agglomeration
landscape dynamics
Online Access:https://www.mdpi.com/2072-4292/12/18/2905

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