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Methane, the second largest greenhouse gas globally after carbon dioxide, is characterized by its high warming potential and short lifespan. The Fifth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC) states that over a 100-year period, methane's global warming potential is 28 times that of carbon dioxide, and its residence time in the atmosphere is approximately 9.1 years. Since the industrial era, atmospheric methane concentration has increased from 722 ppb in 1750 to 1840 ppb in 2015, exceeding pre-industrial levels by more than 155%, and continues to rise. The report identifies the increase in ruminant populations, the extraction and use of fossil fuels, the expansion of rice cultivation, and increased landfilling as the main causes of this increase. The report also estimates that anthropogenic emissions account for 50% to 65% of global methane emissions.

The China-Belarus Great Stone Industrial Park (hereinafter referred to as the China-Belarus Industrial Park) is located near Minsk, the capital of Belarus, and is a joint venture between China and Belarus. The Chinese shareholders are China National Machinery Industry Corporation (SINOMACH) and Harbin Investment Group Co., Ltd., holding 60% of the shares; the Belarusian shareholders are the Minsk Regional Government, the Minsk Municipal Government, and Belarusian Horizon Holding Group, holding 40% of the shares. The industrial park is conveniently located near Minsk International Airport, with a total land area of ​​91.5 square kilometers, and the first phase of the project covers an area of ​​8.5 square kilometers.

With urbanization and economic growth, water pollution has become a key factor restricting sustainable urban development. Online water quality monitoring, characterized by automation, flexibility, speed, real-time detection, and in-situ analysis, has become a demand and development trend in urban water quality monitoring. Hyperspectral imagers, capable of acquiring continuous spectral information of target objects, are used in fields such as environmental monitoring. They are advanced remote sensing devices with increasingly widespread applications in environmental monitoring.

Monitoring the water environment of rivers and lakes has always been a highly valued issue for humankind. Compared with traditional monitoring methods, satellite remote sensing technology has the characteristics of being macroscopic, efficient, and economical, and has significant advantages in obtaining long-term, large-scale spatiotemporal changes in the water environment of rivers and lakes, and has been widely used in many fields.

Hyperspectral technology, while imaging the spatial features of a target object, disperses each spatial pixel to form dozens or even hundreds of narrow bands for continuous spectral coverage. The resulting spectral data can be visualized using an image cube, where two dimensions represent space and the other represents the spectrum. In this three-dimensional space integrating spectral and spatial information, "continuous" spectra and diagnostic feature spectra of ground features can be arbitrarily obtained. This allows for direct identification of target features based on spectral knowledge and further quantitative information about the features. In geological applications, mineral identification and information processing technologies can be categorized into three main types: characteristic parameters of single diagnostic absorption, complete waveform features, and spectral knowledge models.

Western Egypt's deserts are arid, but the eastern Sahara is even more extreme, receiving only a few centimeters of rainfall annually, earning it the name "ultra-arid." However, during the last Ice Age, the Sahara was a tropical savanna with a climate similar to modern-day Kenya and Tanzania. Annual rainfall was much greater, with numerous rivers and lakes. Hundreds of thousands of years of rainfall have also created vast underground aquifers beneath the shifting sands, known as the Nubian Sandstone Aquifer System (NSAS).

To fully implement General Secretary Xi Jinping's important strategic plan to accelerate the construction of a space power and to further create a new ecosystem of co-construction, sharing and utilization in the field of satellite remote sensing, Xi'an Xi'an Institute of Optics and Precision Mechanics CAS Aerospace Science and Technology Group Co.,LTD Technology Co., Ltd. and Xi'an Hangtou Xingji Cloud Network Technology Co., Ltd. officially signed a strategic cooperation agreement on April 30, 2024.

In recent years, with the increasing severity of environmental problems, people have paid more and more attention to environmental protection. Vegetation plays an important role in the Earth system and is an important renewable resource on the Earth's surface. Vegetation index remote sensing monitoring technology is a method that can obtain vegetation status through satellite remote sensing images. By acquiring optical remote sensing data of vegetation parameters, quantitative analysis of the structure and function of ecosystems can be carried out.

With the arrival of the ninth China Space Day, the 2024 China Space Conference, themed "Looking to the Sky and Sharing the Stars," was grandly opened at the Wuhan International Expo Center Conference Center in Hubei Province from April 23 to 26, 2024.

From April 23 to 26, 2024, the 2024 China Space Conference (CSC2024) was grandly opened in Wuhan, Hubei Province.