The delegation of the China-Kazakhstan International CCF Symposium visited the Kazakhstan–China Joint Laboratory of Remote Sensing Technologies and Their Applications to familiarized themselves with its scientific and research infrastructure — KazNU

The delegation of the China-Kazakhstan International CCF Symposium visited the Kazakhstan–China Joint Laboratory of Remote Sensing Technologies and Their Applications to familiarized themselves with its scientific and research infrastructure

21 August 2026
The delegation of the China-Kazakhstan International CCF Symposium visited the Kazakhstan–China Joint Laboratory of  Remote Sensing Technologies and Their Applications to familiarized themselves with its scientific and research infrastructure

On 18 August, as part of the CCF China–Kazakhstan International Symposium on Intelligent Computing and Innovations in Artificial Intelligence, a delegation of symposium participants visited the Kazakhstan–China Joint Laboratory of Remote Sensing Technologies and Their Applications and learned about its research activities.

The participants were provided with information on the history of the laboratory’s establishment, its key research areas, and ongoing international projects. The laboratory’s research in the fields of Earth remote sensing, artificial intelligence, geoinformation technologies, environmental monitoring, natural resource management, and climate change research was presented. In addition, the results of research conducted on landslide hazard assessment and the development of hazard-area passports in the Tolebi District were demonstrated.

The guests also learned about the laboratory’s role in strengthening scientific cooperation between researchers from Kazakhstan and China, its capabilities in processing and analysing modern remote sensing data, and ongoing research aimed at monitoring natural and environmental processes across Central Asia.

The symposium participants expressed strong interest in the laboratory’s scientific and practical potential, particularly in the integration of artificial intelligence and remote sensing technologies into various areas of research and applied work.