Inter- and intra-annual dynamics of urban impervious surfaces in the Pearl River Delta using deep learning networks from synergized optical and SAR data

Dr Zhang, Hongsheng   (Principal Investigator (PI))

Dr Wang Ting   (Co-Investigator)

Professor Lu Dengsheng   (Co-Investigator)

Professor Li Jiang   (Co-Investigator)

36

2018-01-01

363839

Inter- and intra-annual dynamics of urban impervious surfaces in the Pearl River Delta using deep learning networks from synergized optical and SAR data

Impervious surfaces estimation, inter-annual analysis, intra-annual analysis, onal scale, optical and SAR fusion

Urban Studies and Planning

14605917

General Research Fund (GRF)

2018

Completed

1. To develop techniques for a joint exploitation of optical and SAR data using manifold learning methods; 2. To test and train deep learning networks and estimate the urban impervious surfaces from the above mentioned joint optical and radar data; 3. To perform a temporal consistency check over the time series of impervious surfaces extents in the Pearl River Delta (PRD); 4. To model the inter- and intra-annual dynamics in the PRD region using time series data analysis techniques.