The Singapore Land Authority (SLA) has signed two memorandums of understanding on the sidelines of the Global Space Technology Convention and Exhibition 2025 (GSTCE) in Singapore.
The first MOU, with the Office for Space Technology and Industry (OSTIn), will see the two parties collaborate on an Earth observation initiative to use Earth observation data to drive solutions for sustainability and humanitarian goals across the Asia-Pacific region.
The second MOU, with the National University of Singapore Centre for Remote Imaging, Sensing and Processing (NUS CRISP), will leverage remote sensing data to improve carbon biomass research and expand mapping and land monitoring applications.
As Singapore’s national geospatial and mapping agency, SLA plays an important role in the nation’s geospatial development and capability-building efforts. The new partnerships will broaden the use of space-for-earth technology and translate space-based data into actionable insights to support Singapore’s goal of building a safe, sustainable, and smart city.
The MOU with OSTIn leverages SLA’s geospatial expertise and OSTIn’s strengths in space technology. Together, both agencies will use Earth observation data and enrich the global navigation satellite system and remote sensing industry.
This will translate to greater accuracy in tracking changes in coastlines, landscapes, streetscapes and vegetation over time, aid in advanced predictive analysis and forecasting the impact of climate change, and guide decision-making.
“SLA’s strategic partnership with OSTIn on the Earth observation initiative marks a significant step in accelerating geo-enabled solutions to support Singapore’s sustainability agenda,” said SLA CEO Colin Low. “Building on SLA’s experience in utilising space-based technologies and data for geospatial projects, the collaboration will drive innovative solutions and deepen regional cooperation to address challenges brought about by climate change.”
In addition, SLA and NUS CRISP signed a MOU to collaborate on advancing research in remote sensing and geospatial applications. This partnership will leverage SLA’s 3D mapping data and CRISP’s expertise in satellite imaging to develop innovative solutions that support national mapping, carbon biomass research, and geospatial analytics.
Through this collaboration, SLA and NUS CRISP will work closely to explore the integration of LiDAR data with remote sensing methodologies to improve environmental monitoring and carbon biomass assessments with increased accuracy. The partnership will also focus on extending the use of synthetic aperture radar and InSAR technologies to improve geospatial monitoring and mapping capabilities, including the tracking of mainland and coastal vertical land motion changes across the whole of Singapore. This will enable effective coastal protection measures, flood-risk monitoring and efficient infrastructure planning.
“SLA is pleased to extend our partnership with NUS, through an inaugural collaboration with NUS CRISP, to harness geospatial technologies to enhance remote sensing and environmental monitoring capabilities,” said SLA’s Survey & Geomatics Director Victor Khoo. “The collaboration underscores a shared commitment to push the boundaries of satellite remote sensing applications and uncover new opportunities for geospatial advancements, to support ongoing efforts to build more liveable and climate resilient cities.”
SLA also announced its partnership with Delft University of Technology to integrate space-based data to enhance the monitoring of land motion and sea-level rise across borders. This collaboration includes the 3Sisters project that has brought together geodetic expertise from Singapore, the Netherlands, and Indonesia to develop new tracking systems such as the dynamic digital elevation model.
Unlike static models, the dynamic model improves the prediction of long-term land motion and its impact on cross-border coastal regions to help nations formulate best practices in climate change adaptation strategies
MySecurity Media is a GSTCE 2025 media partner.
