“Ghost cities” identification using multi-source remote sensing datasets: A case study in Yangtze River Delta

For the last three decades, rapid and uncontrolled urbanization has given rise to “ghost cities” in China. A  framework to monitor “ghost cities” in Yangtze River Delta was proposed based on multi-source remote sensing datasets, including nighttime light imagery, land cover type products and population grid.

Author Name(s): 
Zheng, Qiming
 Zeng, Ying
 Deng, Jingsong
 Wang, Ke
 Jiang, Ruowei
 Ye, Ziran
Citation: 

Zheng, Q., Y. Zeng, J. Deng, K. Wang, R. Jiang and Z. Ye. 2017. “Ghost cities” identification using multi-source remote sensing datasets: A case study in Yangtze River Delta. Applied Geography 80: 112-121.

Publication type: 
Articles
Journal Article
Publication year: 
2017
Scale: 
Nat. Res. and Env. Stressors: 
Methodology: 
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