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On March 5, 2025, the Third Session of the 14th National People's Congress opened, and Premier Li Qiang delivered the Government Work Report. The report mentioned "commercial spaceflight" twice, a statement that not only continued the policy direction of 2024 but also further clarified the important position of commercial spaceflight in the national development strategy.

Amidst the festive atmosphere of celebrating the 115th anniversary of International Women's Day, the Xi'an-Xianyang New Area solemnly held the "Following the Party on a New Journey, Women Contributing to a New Era" event on March 7, 2025. This event aimed to recognize women in various fields within the Xi'an-Xianyang New Area who have made outstanding contributions and to inspire women to continue to uphold their spirit of self-reliance and relentless struggle. Qin Jing, Chairman and General Manager of Xi'an Xi'an Institute of Optics and Precision Mechanics CAS Aerospace Science and Technology Group Co.,LTD Technology Co., Ltd., participated in the event as a special guest.

In the previous series comparing satellite hyperspectral data in geological mapping, the research data, methods, and techniques were introduced. This section will introduce the relevant research results.

With the global challenge of climate change becoming increasingly severe, greenhouse gas monitoring has become a crucial element in addressing this challenge. Recently, representatives from the French company AbsolutSensing visited CAS Xi'an Aerospace to discuss industry issues and exchange ideas. As pioneers in high-precision greenhouse gas monitoring, the two parties embarked on a cross-border scientific exchange, aiming to enhance satellite data capabilities through cooperation and provide more accurate and comprehensive solutions for global greenhouse gas monitoring.

The absorption characteristics in the near-infrared region of the spectrum (1000–2500 nm) are a function of the bending and stretching vibrations of biochemical bonds (e.g., between hydrogen and carbon atoms and nitrogen and oxygen atoms) and their harmonics and overtones. In the visible region, chlorophyll and carotenoids produce strong absorption due to electronic energy transitions. Different methods exist for retrieving leaf and canopy characteristics from reflectance measurements.

Recently, DeepSeek has rapidly gained popularity for its outstanding AI performance, sparking heated discussions not only in China but also attracting widespread international attention and igniting a new wave of exploration in the business world. Let's take a look at DeepSeek's predictions regarding the future development trends of the commercial aerospace hyperspectral industry. (Please note that these predictions are not guaranteed to be accurate and are for reference only.)

Exploration never stops, the vast galaxy stretches endlessly; Xi'an Institute of Optics and Precision Mechanics CAS Aerospace Science and Technology Group Co.,LTD Technology Co., Ltd., as a full-chain provider of commercial satellites and a leader in the hyperspectral remote sensing industry, is using innovation as its engine and hyperspectral remote sensing technology as its core to illuminate the future of the Earth with the light of science and technology.

On the fifteenth day of the lunar calendar, a full moon illuminating the dream of space exploration, the 2nd Beijing Commercial Aerospace Industry High-Quality Development Conference was successfully held on the morning of February 12th at the Tongming Lake Convention and Exhibition Center in the Beijing Economic-Technological Development Area (Beijing Yizhuang). The conference, themed "Yizhuang Enterprises Strive to Build Dreams in Space," focused on innovation-driven development, application expansion, and ecosystem building in the commercial aerospace industry, promoting the implementation of major projects and contributing to the creation of a globally influential hub for commercial aerospace innovation and development.

Hundreds of kilometers above Earth, hyperspectral remote sensing satellites orbit the planet at a speed of 7 kilometers per second. Carrying specialized optical instruments, they continuously capture spectral information from the Earth's surface. These seemingly ordinary satellites possess astonishing "superpowers"—they can identify the unique "fingerprints" of different substances on the ground, from mineral types and vegetation health to water quality and atmospheric composition; nothing escapes their keen observation.

Time-series-based fine crop classification methods analyze significant changes in crop spectral characteristics, vegetation indices (such as NDVI), and moisture indices (such as NDWI) throughout the entire growth cycle, and combine this with advanced classification models to achieve refined classification of crop types. This method is effectively adaptable to agricultural scenarios with complex crop types and wide geographical areas, and has significant application value, especially in crop planting area statistics and regional agricultural monitoring.