Spatio-Temporal Urban Change Mapping With Time-Series SAR Data
Author:
Affiliation:
1. School of Transportation and Civil Engineering, Nantong University, Nantong, China
2. Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy
Funder
Jiangsu Postdoctoral Grant
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Atmospheric Science,Computers in Earth Sciences
Link
http://xplorestaging.ieee.org/ielx7/4609443/9656571/09870863.pdf?arnumber=9870863
Reference27 articles.
1. Mapping Deforestation and Age of Evergreen Trees by Applying a Binary Coding Method to Time-Series Landsat November Images
2. Characterizing spatiotemporal dynamics of land cover with multi-temporal remotely sensed imagery in Beijing during 1978–2010
3. Trajectory-based detection of urban expansion using Landsat time series
4. Differences in Landsat-based trend analyses in drylands due to the choice of vegetation estimate
5. Time series decomposition of remotely sensed land surface temperature and investigation of trends and seasonal variations in surface urban heat islands
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