Fengyun (FY) series meteorological satellite is an important space infrastructure in China, and an important symbol of meteorological modernization. Since the first FY meteorological satellite launched in 1988, China has successfully launched 19 FY meteorological satellites. At present, 8 FY satellites are operating in orbit, and have formed an observation network system of polar-orbiting and geostationary meteorological satellites. The independent development of meteorological satellite serialization and operation has been realized. The overall strength of FY meteorological satellite coming up with international advanced ranks, which has strongly support meteorological disaster prevention and mitigation, and make great contribution to national economic and social development, "Belt and Road" construction. This paper introduces the development of FY meteorological satellites, research and application of progress in numerical weather forecasting, weather monitoring, climate and climate change, ecological and environmental disaster monitoring, agriculture monitoring, and "Belt and Road" service. The future development of FY meteorological satellite is also prospected.

After half a century's development, Fengyun satellites have made remarkable achievements, 19 satellites have been successfully launched and 8 are currently in orbit, forming a series of operational integrated observation networks in polar orbiting and geostationary orbiting. In the past 50 years, with the upgrading of payload on board and improvement of observation capability, Fengyun satellites have made steady progress both in methods and techniques of space weather monitoring. This paper reviews the development of Fengyun satellites and satellite meteorology and summarizes the evolution of satellite in weather application. Moreover, based on the future requirement and the planning roadmap of Fengyun satellites, the latent capacity in satellite weather application is prospected.

Fengyun meteorological satellites have the ability of global, all-weather and three-dimensional observation, which has reached the level of international advanced meteorological satellite in terms of spatial resolution, temporal resolution and spectral resolution, and plays an increasingly important role in disaster prevention and mitigation. This paper introduces the application of Fengyun meteorological satellite in the monitoring of typhoon, rainstorm, drought, high temperature, dust, snow disaster, flood and forest and grassland fire, and prospects the application of Fengyun meteorological satellite in disaster prevention and mitigation. With the continuous improvement of the performance of Fengyun meteorological satellites remote sensing instruments and the continuous development of data processing and application technology, it will better provide China and the world with satellite remote sensing disaster monitoring, assessment and early warning information, and provide more scientific and powerful support for disaster prevention and mitigation.

The technological status of agricultural quantitative remote sensing, crop classification and planting area estimation, crop growth monitoring and agricultural disaster monitoring are summarized. Some quantitative products of FY meteorological satellites relevant to agriculture are introduced. Some application cases of FY satellite data for identification of winter wheat area, crop growth monitoring, phenological monitoring and agricultural drought are presented, and some ideas about agricultural remote sensing application of FY satellites are put forward.

Fengyun meteorological satellite (FY satellite) is one of the highest operational and the best used remote-sensing satellites in China. It is also honored with a name card of practising the Belt and Road initiative and building the Belt and Road spatial information corridor. This article carries out an international survey, analyzes the survey result, conducts in-site investigations, and discovers the status of FY satellite data applications to scientific research and operational work of international users. Combined with international user's requirements and internal motivations, this article puts forward strategies and advises in terms of promoting satellite global observation capability, improving Belt and Road countries' data acquisition and remote sensing application abilities, and strengthen scientific exchange between China and Belt and Road countries.

Satellite remote sensing is the best way to observe the vast ocean-atmosphere. With the development of satellite remote sensing technology in recent years, remarkable progress has been made in atmosphere and marine environment remote-sensing, and data assimilation in climate model. This paper summarizes the the latest development of marine meteorological satellite monitoring capabilities, methods and related products in sea fog, strong convection over ocean and marine environmental monitoring. And this provides the background and application information about ocean-atmosphere remote-sensing for scientific researchers and engineers.

This paper summarizes the main methods of machine learning and its main application direction in remote sensing image. It covers the research and application of machine learning technology in environmental ecological remote sensing, and the new progress in recent years. Through the application of deep learning to snow detection of FY-3C meteorological satellite data, it is shown that the deep learning model can improve the detection accuracy by means of big data advantages, and has achieved better precision than traditional machine learning in some indexes, thus solving some problems that are difficult to solve using traditional machine learning method, and driving the innovation of remote sensing application mode.