Chang Guang Satellite Technology Co., Ltd.

Remote Sensing Data Plays a Crucial Role in Five Major Fields

In the application of China's remote sensing satellite industry data, the fields of land, meteorology, ocean, environment, and agriculture are the top five areas of China's satellite remote sensing data applications, among which meteorological observations are the most widely applied fields.

Advantages and roles of satellite remote sensing application:

Applications in meteorological observations can accurately reflect various physical and ecological parameters of the atmosphere, land, and ocean states, significant in weather and climate, atmospheric monitoring, and disaster monitoring.

National land resource surveys facilitate various national land management agencies to obtain high-precision satellite images of land, rivers, lakes, minerals, and biology efficiently.

With the advantages of large area, all-weather, all-time, and high efficiency, it improves the accuracy of marine hydrological and meteorological forecasting, used for developing marine resources, developing marine transportation, constructing marine engineering, and monitoring marine pollution.

Objective, accurate, efficient, and fast monitoring and evaluation of agricultural drought, pest disasters, and other disaster information to estimate global range, national, and regional crop yields, providing information for analyzing, forecasting, and warning of food supply.

Environmental monitoring applications enable comprehensive detection of major atmospheric pollutants, greenhouse gases, clouds, and aerosols by carrying different instruments on satellites.

The added value of satellite remote sensing data services:

Downstream value-added services include data processing, spatial information integrated services, and software support services. In the field of remote sensing and ground observation, different imaging methods, different bands and resolutions of data coexist, and remote sensing data is increasingly diversified. With the increasing acquisition speed, shortening the update cycle, the large amount of remote sensing data makes the direct readability of remote sensing data poor. When using software tools to process them to form resources that customers can use, the efficiency of manual operation is low, hindering the commercialization and civil promotion of satellite remote sensing.

Data processing can significantly enhance the ability to serve multiple customers. Combining remote sensing big data cloud, artificial intelligence, and value-added services of remote sensing data, it brings new development directions to the processing of remote sensing raw data. Data processing can improve processing efficiency, reduce data processing costs, broaden customer groups, and promote commercial development.

Spatial information integrated services will promote the development of China's smart cities. Based on satellite remote sensing big data images, using remote sensing cloud services, "Internet +," and new-generation remote sensing applications, monitoring urban changes, and innovative exploration of real-time urban management is a must to achieve smart city.

Software support can support remote sensing data geometric precision correction, registration, fusion, mosaic, information extraction, and automatic classification. Remote sensing images have the characteristics of macro, objective, comprehensive, real-time, dynamic, and fast, providing new means of detection for earth resource survey and development, land consolidation, environmental monitoring, and global research.

Data analysis applications can analyze current economic development in remote sensing big data. Combining artificial intelligence methods of deep learning, it can conduct real-time and reliable economic development analysis, provide powerful support for the formulation of international economic policies, and play an important role in the industry application of investment finance. Developing software to support the integration of remote sensing satellite data is beneficial to the extensive use of remote sensing data in mapping, dynamic monitoring, land resource surveys, geological hazard monitoring, military reconnaissance, and other fields.