Email: dhivya@nus.edu.sg
Hi there! My name is Thơ Dương. I am a researcher who is passionate about exploring the many ways geospatial sciences can help deepen our understanding of coastal ecosystems. My work combines spatial analysis, remote sensing, and field data to support environmental monitoring and planning.
For my Master's thesis, I used open-sourced satellite imagery and locally-calibrated airborne LiDAR data to model and map mangrove biomass.
I also draw upon my background as an environmental historian and visual artist to make spatial insights come alive with interactive maps that tell stories and inspire curiosity and care for the places and communities that I get to study.
As Singapore’s coastline continues to expand through land reclamation and coastal development, there is increased reliance on armoured ‘grey’ defence structures such as seawalls and revetments. While offering immediate protection, they have limited capacity to adapt to the changing climate and often have profound negative impacts on marine environments, causing habitat loss, lowering biodiversity, and reducing ecosystem services. Growing interest in ‘hybrid’ shorelines reflects the need for more resilient solutions that reliably provide coastal defence while supporting ecological communities. It is understood that hybrid solutions are context-specific and constrained by limited understanding of suitable typologies and sites for implementation as well as the need to balance the varying priorities of stakeholders. SPINS-Meta sets out to address this challenge and build an enhanced understanding of potential hybrid “green-grey” solutions for Singapore’s urbanized tropical coast.
Specifically, the project will:
Conduct geospatial and meta-analyses of environmental conditions and project outcomes, providing a global perspective on hybrid coastal protection approaches.
Model species distributions under current and future climate scenarios to generate maps of habitat suitability for coastal ecosystems.
Develop a shoreline suitability model to identify representative shoreline segments that would be appropriate for future integration of hybrid solutions in urbanized coastal settings.