News Categories

Construction sites, as crucial locations for urban development, have always been a major source of dust pollution. With the increasing demands for urban environmental quality from the government in recent years, effectively controlling dust pollution from construction sites has become a focus of public attention. Against this backdrop, dust control nets, as an efficient and practical dust control tool, are increasingly widely used on construction sites, becoming an indispensable part of dust control efforts. Therefore, by extracting and statistically analyzing dust control net data, we can indirectly assess the distribution and progress of construction sites, identifying hotspots for civil engineering activities.

On September 15th, an event was hosted by the Shaanxi Provincial Association for Science and Technology and co-organized by the Shaanxi Provincial Science and Technology Think Tank Alliance and...Pangu Think Tank Chang'an Research InstituteThe Wisdom Dialogue Salon, co-organized by the two organizations, was successfully held in Xi'an. Li Zhao'e, Executive Vice Chairman of the Shaanxi Provincial Association for Science and Technology, and Lü Jianjun, member of the Party Leadership Group and Vice Chairman of the Shaanxi Provincial Association for Science and Technology, attended the event.Experts from various sectors conducted in-depth discussions on the collaborative sharing of scientific and technological resources. Qin Jing, Chairman and General Manager of CAS Xiguang Aerospace Technology Co., Ltd., was invited to attend and shared her strategies for "breaking down barriers" based on her experience in commercial aerospace.

Among the many types of spectrometers, interferometric spectrometers are distinguished by their...High light throughput, high spectral resolution, high signal-to-noise ratio, and wide band coverageIt has significant advantages. Unlike traditional dispersive spectrometers that rely on prisms or gratings, it uses the principle of interference to superimpose light of different wavelengths to form fringes, and then uses Fourier transform to decode the interference information into a spectrum. It can distinguish extremely close wavelengths, maintain a high signal-to-noise ratio under weak light or infrared conditions, and achieve wide-band measurements from visible light to mid- and far-infrared. It is widely used in atmospheric monitoring, environmental remote sensing, and infrared material analysis.

In the field of marine and inland waterway monitoring, vessel identification has always been a crucial application of remote sensing technology. Vessel distribution is directly related not only to shipping traffic management, maritime law enforcement, and national defense, but also to fisheries resource monitoring, illegal fishing control, environmental protection, and emergency rescue. Traditional vessel monitoring methods primarily rely on radar and optical sensors, but these are susceptible to interference and have blind spots under complex sea conditions, cloud cover, or nighttime conditions. The emergence of hyperspectral remote sensing has brought new possibilities to vessel identification.

To fully showcase my country's major achievements in remote sensing this year, expand its social impact, and promote the advancement, transformation, and application of remote sensing technology, the China Association for Remote Sensing Applications, in conjunction with journals such as *Journal of Remote Sensing* and *Satellite Applications*, organized the selection of the "Top Ten Events in Remote Sensing in 2024" since the end of December 2024. After extensive solicitation of candidate events, expert evaluation and recommendation, and approval by the Chairman's Working Meeting, the results are hereby announced as follows.

Satellite remote sensing technology plays a crucial role in inland water quality monitoring, enabling the retrieval of key water quality parameters over a large area, quickly, and at low cost. However, inland water quality monitoring also places high demands on satellite remote sensing technology: small water bodies require high spatial resolution; rapidly changing water quality necessitates high temporal resolution; and complex and variable optical characteristics of water bodies require high spectral resolution. Therefore, satellite data that simultaneously meets high spatial, high temporal, and high spectral resolution has significant advantages in inland water monitoring.

On August 28, 2025, Shanxi Aerospace Industry Research Institute Group Co., Ltd. (hereinafter referred to as "Shanxi Aerospace") and Xi'an Xi'an Institute of Optics and Precision Mechanics CAS Aerospace Science and Technology Group Co.,LTD Technology Co., Ltd. (hereinafter referred to as "Xi'an Institute of Optics and Precision Mechanics CAS Aerospace Science and Technology Group Co.,LTD") signed a strategic cooperation agreement in Taiyuan, reaching a consensus on the construction of a methane monitoring satellite constellation. On the same day, the two parties jointly held a "Shanxi's First Methane Monitoring Satellite and Constellation Construction Seminar," which was attended by representatives from local government departments and research institutes such as the Shanxi Provincial Data Bureau, Market Supervision Administration, Inspection and Monitoring Center (Shanxi Provincial Carbon Measurement Center), Meteorological Science Research Institute, and Ecological Environment Planning and Technology Research Institute.

Hyperspectral remote sensing technology can capture subtle differences in crops across different spectral ranges by continuously acquiring ground reflectance information across hundreds of narrow bands. This high-dimensional spectral information not only reflects the physical and chemical characteristics of crops but also reveals changes in their state at different growth stages, thus offering unique advantages in crop identification and classification in agriculture.

Vegetation attributes are typically measured by converting reflectance spectra into a single numerical value or vegetation index. Hyperspectral or narrow-band vegetation indices contain narrow-band vegetation characteristics and wavelength information that can only be captured by hyperspectral instruments.

In recent years, climate change and other human-related environmental issues have garnered significant attention in scientific literature. Historically, wildfires were largely detected by monitoring vast areas from fire observation towers and using simple devices such as fire detectors. However, this method was not very accurate, and its effectiveness could be affected by human fatigue accumulated during long observation periods. On the other hand, alternative sensors used to detect gases, flames, smoke, and heat emissions typically require extended measurement times. Furthermore, due to the limited measurement range of these sensors, only a large number of sensors could cover large areas. The rapid development of target recognition, deep learning, and remote sensing technologies has provided us with new methods for finding and tracking wildfires.