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Since 1981, when Goetz et al. first identified limestone and clay minerals from space orbit using the 10-band SMIRR (Space Shuttle Multispectral Infrared Radiometer), remote sensing technology has revolutionized the scope, scale, content, and methods of human geoscientific research. With the successful development of a series of hyperspectral resolution remote sensing instruments (such as China's GF5 AHSI, the US's AVIRIS, and Italy's PRISMA) and the vigorous development of satellite technology, hyperspectral remote sensing technology has made significant progress in data acquisition, radiometric calibration, spectral reconstruction, data processing, and ground feature identification. More and more countries and regions are widely applying hyperspectral remote sensing technology to mineral spectral identification and mapping. This article will analyze hyperspectral remote sensing mineral exploration technology using a case study.

Recently, the China National Space Administration (CNSA) issued the "Action Plan for Promoting High-Quality and Safe Development of Commercial Spaceflight (2025-2027)".

Cotton is one of my country's important economic crops, and its growth process includes key stages such as seedling stage, budding stage, flowering stage, boll stage, and tufting stage. Traditional cotton management relies on manual field inspections and experience-based judgment, which is not only time-consuming and labor-intensive but also makes it difficult to achieve large-scale, rapid, and objective identification of the growth stage. With the development of remote sensing technology, monitoring cotton growth status using spectral indices has become an efficient, low-cost, and automated method. The Boll Cotton Index (BCI), as a remote sensing index targeting the mid-to-late stages of cotton growth, can sensitively reflect boll hull and boll exposure, leaf yellowing, and changes in canopy structure during the tufting stage, making it one of the important indicators for monitoring cotton growth stages.

In the field of quantitative remote sensing, the key to accurately retrieving the true radiative characteristics of ground objects lies in eliminating the influence of atmospheric path radiation. Atmospheric correction methods based on the MODTRAN model, by constructing an accurate radiative transfer mechanism model, perform inverse calculations on the comprehensive radiance received at the sensor's entrance pupil, thereby eliminating interference from atmospheric absorption and scattering. This is an indispensable core step in obtaining accurate physical parameters of ground objects. This case study uses calibration data from the Xiguang-1 05 satellite (Tianxianpei) received on September 23rd at the Dunhuang calibration field in Gansu Province to retrieve the entrance pupil radiance.

On November 11, local time, the port of Marebaya in Guinea, Africa, was brightly lit as the Simandou iron ore mine officially commenced production. Guinean President Mamadi Doumbouya, Vice Premier Liu Guozhong (Special Representative of President Xi Jinping), Rwandan President Kagame, and Gabonese President Nguema attended the ceremony, marking the official start of production for this world-class iron ore mine with a total investment exceeding US$20 billion and an annual production capacity of 120 million tons. Behind the project, CAS Xiguang Aerospace, relying on its "Xiguang series" satellites, has built a space-based "eye in the sky," providing China Export & Credit Insurance Corporation (hereinafter referred to as "SINOSURE") with high-frequency remote sensing monitoring services for mine construction progress, ecological environment, and risk anomaly analysis, thus ensuring the security of national strategic resources.

Recently, at a meeting held by CITIC Group and the Shaanxi Provincial Government..."Invest in China, Choose Shaanxi"During the series of economic and trade activities, CAS Xiguang Aerospace, as the only commercial aerospace national-level specialized and innovative "little giant" enterprise cultivated in Shaanxi, was invited to attend the event and signed a strategic cooperation agreement with CITIC Bank to inject strong financial momentum into the construction of its core project, the "Xiguang Series" constellation.

By utilizing the photosynthetic pigment index in a narrow band of hyperspectral imaging, vegetation species can be accurately distinguished. This case study uses hyperspectral data from the Xiguang-1 05 satellite (also known as Tianxianpei) and Sentinel-2 data to calculate the ARI1 anthocyanin index and extract forest land within farmland areas. Thanks to the 9 nm spectral resolution and narrow band design of the Xiguang-1 05 satellite (Tianxianpei), the reflectance difference at precise locations of 550 nm and 700 nm is significantly amplified, making forest land characteristics readily apparent. Compared to Sentinel-2 results, there are fewer false positives and the extracted results have less noise. Furthermore, a single image is sufficient, eliminating the need for time-series data, thus providing rapid and reliable spectral evidence for monitoring the "non-agriculturalization" of farmland.

2On the afternoon of November 5, 2025, an event was jointly hosted by the Xi'an Municipal Science and Technology Bureau, the Xi'an Municipal Bureau of Industry and Information Technology, and the Xi'an National Civil Aerospace Industrial Base Management Committee."Conference on High-Quality Development of Commercial Spaceflight"Held in Xi'an. This conference, as an important component of the 2025 Global Hard Technology Conference, focuses on…"Set sail with renewed vigor and embark on a voyage across the sea of ​​stars"The event, themed "High-Spectrum Constellation of Xiguang Aerospace," brought together leaders, academicians, experts, and business representatives from government agencies, research institutes, universities, and commercial aerospace companies to conduct in-depth discussions on the development path, technological innovation, industrial collaboration, and application prospects of my country's commercial aerospace industry. Xiguang Aerospace, representing Shaanxi's local commercial aerospace brands, delivered a keynote report entitled "Xiguang Series High-Spectrum Constellation: Focusing on Aerospace Advantages to Release Industrial Momentum."。

Water resources are one of the most precious natural resources for humankind. Although my country ranks fourth in the world in total freshwater resources, its per capita share is only one-quarter of the world average. Utilizing remote sensing technology to accurately and rapidly acquire dynamic information on land-based water bodies is an efficient technical means for water resource surveys and area monitoring.

There is a considerable body of research on water body information extraction at present, with most data sources being multispectral. Various methods exist for extracting water bodies of different types and regions, each with its own advantages; however, research on their application in hyperspectral satellite data is relatively limited. Therefore, this paper compares and analyzes different water body extraction methods using the Xi'an Optics-1 05 satellite (also known as the Tianxianpei satellite).

On October 29th, the 6th Yuncheng Salt Lake Remote Sensing Academic and Application Symposium, hosted by the China Remote Sensing Application Association, Shanxi Provincial Bureau of Geology and Mineral Resources, and Shanxi Geological Group Co., Ltd., and organized by Shanxi Provincial Geophysical and Chemical Exploration Institute Co., Ltd., Shanxi Provincial Key Laboratory of Environmental Remote Sensing Application, Yuncheng Satellite Remote Sensing Big Data Application Center, and Yuncheng Carbon Neutrality Industry Research Institute, was successfully held.