Insar Maps of Land Subsidence and Sea Level Scenarios to Quantify the Flood Inundation Risk in Coastal Cities: The Case of Singapore
Abstract
:1. Introduction
2. Study Area, Geological Settings and Data
2.1. Geological Settings
2.2. Data
2.2.1. Digital Terrain Model for Singapore
2.2.2. Sar Data
3. Data Processing
4. Results and Discussion
4.1. Subsidence Results
4.2. Subsidence Modelling
4.3. Inundation Scenarios
5. Conclusions
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
References
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Catalao, J.; Raju, D.; Nico, G. Insar Maps of Land Subsidence and Sea Level Scenarios to Quantify the Flood Inundation Risk in Coastal Cities: The Case of Singapore. Remote Sens. 2020, 12, 296. https://doi.org/10.3390/rs12020296
Catalao J, Raju D, Nico G. Insar Maps of Land Subsidence and Sea Level Scenarios to Quantify the Flood Inundation Risk in Coastal Cities: The Case of Singapore. Remote Sensing. 2020; 12(2):296. https://doi.org/10.3390/rs12020296
Chicago/Turabian StyleCatalao, Joao, Durairaju Raju, and Giovanni Nico. 2020. "Insar Maps of Land Subsidence and Sea Level Scenarios to Quantify the Flood Inundation Risk in Coastal Cities: The Case of Singapore" Remote Sensing 12, no. 2: 296. https://doi.org/10.3390/rs12020296