Ground-penetrating radar (GPR) has long been a pivotal tool in estimating the permittivity of various mediums. A significant technique used in this estimation is the radar echo amplitude method, which crucially derives permittivity magnitude through the correlation between reflection coefficients and permittivity. Building upon this principle, a recent study published in Remote Sensing on Oct. 31 introduces a full-wave inversion real-time permittivity estimation method specifically tailored for stepped-frequency GPR (SFGPR).

Scientists from the National Engineering Research Center for Satellite Remote Sensing Applications, Aerospace information Research Institute (AIR), Chinese Academy of Sciences (CAS), together with collaborators from Shihezi University (Xinjiang, China), harnessed solar-induced chlorophyll fluorescence as a potent indicator for predicting crop yields, and achieved significant advancements in the realm of mid-season cotton yield forecast in Xinjiang.

In a recent editorial published in the Innovation Geoscience, researchers from the Aerospace Information Research Institute (AIR) with the Chinese Academy of Sciences (CAS) highlight the significant advances in multimodal AI foundation models in Earth observation techniques, particularly in unlocking the power of remote sensing big data, and their profound impact on our understanding of the planet's various facets.

A recent breakthrough from researchers at the Chinese Academy of Sciences propels this field forward. As reported in Advanced Photonics Nexus, they achieved a remarkable 60-milliwatt (mW) solid-state DUV laser at 193 nm with a narrow linewidth using a sophisticated two-stage sum frequency generation process employing LBO crystals. The process involves pump lasers at 258 and 1553 nm, derived from a Yb-hybrid laser and an Er-doped fiber laser, respectively. This setup, culminating in a 2mm×2mm×30mm Yb:YAG bulk crystal for power scaling, demonstrates impressive results.

In a recent study published in the Bio-Design and Manufacturing on Feb. 22, a research group led by Prof. WU Yirong from the Aerospace Information Research Institute (AIR) under the Chinese Academy of Sciences (CAS) has unveiled a new method for improving deep brain stimulation treatments for PD, focusing on the STN - a critical area for managing the disease's symptoms.

In a bid to understand urban thermal environments better, researchers from the Aerospace Information Research Institute (AIR) under the Chinese Academy of Sciences (CAS) have developed a comprehensive dataset on anthropogenic heat (AH) emissions in China.