Technology-Driven Methods for Estimation of Nature-Based Carbon Stocks in Singapore
Khairun Nisha Binte Mohamed Ramdzan, Zu Dienle Tan, Leah Mary Lilly Denoun, H. Manjari Jayathilake, Annabel Jia Yi Lim, Yiwen Zeng, Hao Tang, and Lian Pin Koh
Centre for Nature-based Climate Solutions, Faculty of Science, National University of Singapore
Final Report
Calculating forest carbon using forest inventory measurements can be laborious, mainly when conducted across an entire forest. As a result, reliance on traditional ground-based methods alone may not provide comprehensive forest information at a broad spatial scale. Instead, remote sensing technologies such as LiDAR (Light Detection and Ranging) and satellite imagery offer invaluable tools for gathering forest information, including tree heights and canopy structure, across vast landscapes. This project incorporated remote sensing technologies and field measurements to pave the way for a cost-effective means of surveying and monitoring nature-based carbon projects. It provides a preliminary estimate of carbon for different forest ecosystem types across Singapore and demonstrated the use of remote sensing technology for potential monitoring of forest aboveground carbon density (ACD). Further, the findings show that remote sensing technology can scale up field measurements and estimate spatially explicit carbon over a larger area. These carbon maps offer valuable insights into carbon sequestration potential, allowing stakeholders from diverse fields to make informed decisions on nature-based solution projects.
Published March 2024
