Conference环保能源
Annual Academic Conference of the China Kazakhstan Joint Laboratory of Remote Sensing Technology and Applications
Date
June 26, 2026
to June 29, 2026
Location
Almaty, Kazakhstan
Al-Farabi Kazakh National University
Organizer
Kazakh National University
About This Event
The Annual Academic Conference of the China-Kazakhstan Joint Laboratory of Remote Sensing Technology and Applications will take place in Almaty, Kazakhstan. This conference, part of the 1st Central Asia-China Symposium on Remote Sensing Technology and Applications, aims to gather a diverse group of researchers, scholars, engineers, and graduate students who are engaged in fields such as remote sensing, GIS, environmental sciences, climate change, and GeoAI. The primary focus of the conference is to discuss recent advancements in remote sensing technologies that contribute to sustainable development, particularly in arid and semi-arid regions.Participants are encouraged to submit abstracts for both oral and poster presentations that align with the conference themes, which include topics such as remote sensing of ecosystems and the environment, climate change impacts in arid regions, monitoring of agricultural and water resources, and the application of GeoAI and big geospatial data. The conference program includes a variety of activities such as keynote speeches, thematic presentations, special symposia, technical training sessions, poster exhibitions, and even field excursions, all designed to foster a collaborative and productive environment for scientific exchange. This event promises to be an enriching experience for all attendees, as it not only highlights the latest research and innovations but also encourages networking and knowledge sharing among experts in the field.
Topics & Themes
Annual Academic Conference of the China Kazakhstan Joint Laboratory of Remote Sensing Technology and Applications Annual Academic Conference of the China Kazakhstan Joint Laboratory of Remote Sensing Technology and ApplicationsEnvironmentWaste Artificial Intelligence Ecology