This is the
MISO project
MISO develops an autonomous observation system for monitoring of emissions of CO2 and Methane, the two most important greenhouse gases. The system is modular and is suited for use in hard-to-reach areas such as the Arctic or wetlands. It combines three observing platforms (a static tower-Gas ambient monitor , a static gas flux chamber and a UAV-based observatory using NDIR sensing technologies ) with a cloud platform. The system can be operated remotely , with minimum on-site intervention.
The MISO team has expanded existing technologies: we have improved detection limit and accuracy of an NDIR GHG sensor integrated in the platforms. The static platforms and the drone base are powered by a unique geothermal device. The communication between the three observing platforms and a data cloud uses a combination of Peer2Peer, G4/G5/LTE, LORAWAN and wifi technologies.
To ensure consistent measurements, the observing platforms are optimized for energy efficient autonomous operation. This includes on-platform detection of faults through an optimized Machine Learning calibration. The cloud platform stores model updates and fault detection information together with the raw measurements.
The system is co-developed with stakeholders from academia, monitoring and measurement systems, industry and policy. It is thoroughly documented and has been demonstrated in the Arctic and in Wetland .
NEWS
βοΈπ MISO Svalbard β Gas Flux Chamber Measurements
During the Svalbard field campaign, the MISO team tested a gas flux chamber system designed to measure greenhouse gas emissions directly from the ground in remote Arctic environments, with minimal maintenance requirements. π¬ ππ¨π° π’π π°π¨π«π€π¬ π ππ¨π°ππ«ππ¬ π«ππ¦π¨ππ ππππ ππ¨π₯π₯ππππ’π¨π§Over time, the system can be equipped with wireless communication,
βοΈπ MISO Svalbard β Energy-Efficient Gas Ambient Monitor
During the Svalbard field campaign, the MISO team tested an energy-efficient gas ambient monitor designed for long-term operation in harsh Arctic conditions. π§ ππ’π§π²ππ ππ§-πππ―π’ππ πππ₯π’ππ«πππ’π¨π§Using TinyML, the device runs a calibration model directly on the sensor node. Together with the K96 gas sensor, this enables accurate, real-time greenhouse gas
βοΈπ MISO Svalbard β End-to-End Data Transmission Test
During the Svalbard field campaign, the MISO team carried out additional communication tests to support autonomous GHG monitoring in Arctic conditions. β πππ‘π’ππ―ππ¦ππ§ππ¬ β οΈ πππ¬π¬π¨π§π¬ ππππ«π§ππ Thanks to Huy Duong Gia, TorbjΓΈrn, Vishall, Jurian, and Thibault for their work during these tests. πΈ More insights from the Svalbard campaign coming
Contact Info
Dr. Tuan-Vu Cao, project coordinator.
The Climate and Environmental Research Institute NILU.
This project has received funding from the European Union’s Horizon Europe research and innovation programme under Grant Agreement No. 101086541.