February 6, 2025
The Department of Software Engineering together with the MOON42 RDI Information Technology Services Ltd. are collaborating on a new project that aims to create a CO2 absorption calculation system and related services based solely on image recognition to boost voluntary carbon credit trading and environmentally conscious precision agriculture. The project started on January 1st.
The fight against climate change can only be achieved through global collaboration. Several agreements and targets have been set to reduce greenhouse gas emissions, which has led to the establishment of a mandatory and voluntary carbon market.
The project will develop a new remote sensing-based method to accurately determine the carbon sequestration capacity of agricultural and green land. It will replace the current costly and time-consuming soil sampling with high resolution airborne imagery and imaging algorithms to provide fast and reliable measurements. The project will result in a semi-automated platform for the registration and trading of verified carbon credits. The initiative will contribute to sustainable development and transparent carbon credit trading.
The researchers from USZ will work on advanced ML-based image processing algorithms to automatically detect CO2 absorption from satellite images and provide a block-chain based solution to aid the digital validation of CO2 carbon quota transactions.
You can read more on the USZ’s website.