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New Study Maps Nanchang's Carbon Emissions with Unprecedented Detail
Researchers from the Aerospace Information Research Institute (AIR) of the Chinese Academy of Sciences have developed a new method for mapping carbon dioxide (CO₂) emissions across Nanchang, the capital city of Jiangxi province in eastern China, providing a clearer picture of the city's carbon footprint. Their findings were recently published in the International Journal of Digital Earth.
May 08, 2025
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Scientists Develop New Method for Remote Sensing-Based Assessment of Cotton Verticillium Wilt
Scientists from the Aerospace Information Research Institute (AIR) of the Chinese Academy of Sciences (CAS), in collaboration with Shihezi University, have developed a new method for grading cotton Verticillium wilt (VW). This method correlates with yield loss and is suitable for remote sensing monitoring to assess VW severity. Their research has been recently published in Agricultural and Forest Meteorology.
Apr 29, 2025
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AI-generated DEMs Help Reveal Moon's Lobate Scarps Near Chang'e-6 Landing Site
A research team led by Prof. DI Kaichang from the Aerospace Information Research Institute (AIR) of the Chinese Academy of Sciences (CAS) has developed an innovative method to advance the study of lobate scarps—small reverse fault landforms thought to reflect ancient tectonic activity on the Moon.
Apr 29, 2025
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AIR Unveils Pioneering Innovations to Boost Shandong's Low-Altitude Economy
The Aerospace Information Research Institute(AIR)of the Chinese Academy of Sciences unveiled four pioneering technological achievements in city Jinan, Shandong Province, China on April 19, 2025. These breakthroughs aim to accelerate Shandong's leadership in the rapidly evolving low-altitude economy—a sector set to transform industries such as drone logistics, emergency response, and urban air mobility through safe and efficient use of airspace below 3000 meters.
Apr 25, 2025
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CAS Unveils Breakthrough in "Microwave Vision" SAR 3D Imaging
The Aerospace Information Research Institute of the Chinese Academy of Sciences (AIRCAS) announced a pioneering research breakthrough on April 9, 2025: a theoretical methodology for synthetic aperture radar (SAR) 3D imaging. Leveraging the implicit "microwave vision" semantics within images, this novel approach significantly achieves higher-precision, lower-cost, and more robust 3D imaging. It provides support for remote sensing fields like urban mapping and disaster monitoring.
Apr 11, 2025
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