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As the year draws to a close and the seasons change, a new dawn breaks across the world, illuminating the East. As the first rays of sunlight of 2026 light up the sky, we, with the fervor and sincerity of aerospace professionals, extend our highest respect and sincerest New Year's wishes to all colleagues, partners, and friends from all walks of life!

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, relatively 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.

Recently, my country's aerospace data asset management has achieved a milestone breakthrough. Xi'an Institute of Optics and Precision Mechanics CAS Aerospace Science and Technology Group Co.,LTD (hereinafter referred to as "Xi'an Institute of Optics and Precision Mechanics CAS Aerospace Science and Technology Group Co.,LTD") successfully completed the asset confirmation, evaluation, and table entry process for its independently developed "Hyperspectral Remote Sensing Satellite Application Platform Data," becoming the "first case of hyperspectral satellite data asset table entry practice in China," with an assessed value exceeding 27 million yuan.

Driven by both the digital economy boom and the large-scale development of commercial aerospace, the aerospace information industry is ushering in unprecedented opportunities for integration. Today, a high-level industry exchange event themed "AI-Driven Digital Innovation for the Future" was held in Xiamen, bringing together representatives from government, research institutions, universities, and enterprises to discuss technological pathways, application scenarios, and ecosystem building, and to promote collaborative innovation and pragmatic cooperation across the industry chain.

Stray light elimination is a crucial issue in optical imaging system research. Stray lights typically manifest as high-intensity specks with a spatial coverage much larger than the details of the effective target, significantly impacting image contrast, uniformity, and subsequent radiometric calibration and quantitative analysis. This paper employs a two-dimensional anisotropic Gaussian function to model stray light specks, achieving image stray light correction.

In today's era of profound global technological revolution and industrial transformation, the deep integration of artificial intelligence and data elements has become a core driving force. Data, as the "fuel" and "blood" of the AI ​​era, hinges on "high quality" and "strong synergy" to unleash its value. However, in reality, redundant, biased, and incomplete data still constrain the performance of AI systems. Problems such as "data is visible but unaffordable" and "AI is disconnected from real-world scenarios" have become prominent obstacles to industrial integration.

Recently, Xi'an Institute of Optics and Precision Mechanics CAS Aerospace Science and Technology Group Co.,LTD independently developed...Hyperspectral remote sensing satellite dataThe asset registration was officially completed at the Shanxi Data Exchange Center. This is the first data asset registration completed in Shanxi Province in the field of hyperspectral remote sensing satellites, marking an important step forward in promoting the resource and assetization of remote sensing data and further expanding the application prospects of hyperspectral remote sensing data in multiple fields.

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, relatively 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.

The 23rd China Remote Sensing Conference was held in Guangzhou from November 29th to December 1st, 2025. As the highest-level, largest-scale, and most academically influential comprehensive industry event in my country's remote sensing field, this conference, themed "Remote Sensing Empowering Commercial Aerospace and Low-Altitude Economy," successfully hosted 11 keynote speeches and 44 thematic forums, bringing together over 1,200 authoritative experts, representatives from leading industry enterprises, and young academic talents. A series of important academic and industrial achievements were officially released, including the "Blue Book on the Development of China's Satellite Remote Sensing and Application Industry," the "40th Anniversary Announcement of the Chinese Academy of Sciences' Airborne Remote Sensing Center," and the "Guangzhou Declaration 2025," providing solid support for the high-quality development of my country's remote sensing industry.