A research team led by Prof. SHI Yusheng from the Aerospace Information Research Institute of the Chinese Academy of Sciences has developed a novel solution. This approach provides high-precision CO2 emission estimates from 14 large coal-fired power plants around the world, utilizing an enhanced Gaussian plume model and data from NASA's Orbiting Carbon Observatory-3 satellite.
A research team from the Aerospace Information Research Institute of the Chinese Academy of Sciences has released Africa's first high-resolution rice distribution map, featuring a resolution of 20 meters. This dataset provides comprehensive coverage of African countries where national-level rice cultivation areas exceed 5,000 hectares.
Researchers from the Institute of Computing Technology of the Chinese Academy of Sciences, along with collaborators, have developed a food-oriented large language model (LLM)—FoodSky, a domain-specific large LLM designed for culinary and nutritional applications.
A recent study has introduced a novel data-driven model that distinguishes between human-induced and natural water consumption in croplands, providing valuable insights into the sustainability of arid lake ecosystems.
A research team from the Aerospace Information Research Institute of the Chinese Academy of Sciences has released a long-term, high-resolution dataset that tracks global cropland water-use efficiency from 2001 to 2020. The dataset provides annual WUE estimates for croplands worldwide at a one-kilometer spatial resolution. It is expected to be a valuable resource for promoting sustainable agricultural water management.
Researchers from the Aerospace Information Research Institute of the Chinese Academy of Sciences have developed a novel method for mapping carbon dioxide (CO₂) emissions across Nanchang, the capital city of Jiangxi province in eastern China. This study provides a clearer picture of the city's carbon footprint
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