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Remote sensing satellites have wide applications and can directly serve the investigation, evaluation, planning, and management of natural resources such as mountains, water bodies, forests, fields, lakes, and grasslands, as well as the needs of national economy and national defense construction. They have been extensively used in various fields including precision poverty alleviation, geological disaster monitoring, warning and assessment, land resource investigation and monitoring, law enforcement and monitoring of mineral resources, and ecological resource investigation and monitoring, reflecting the benefits of large-scale applications.
Natural resource satellite remote sensing data has been widely used in natural resource surveys. Today, we will explore the application of satellite remote sensing in land use surveys, basic farmland protection monitoring, mineral resource investigation and monitoring, monitoring of important river basins, lakes, reservoirs, and wetlands, as well as geological disaster remote sensing monitoring in five aspects.
The use of remote sensing data for land use surveys has a long history. With the development of remote sensing technology, high-resolution remote sensing data plays an increasingly important role and has proven to be the most direct and effective method. This work mainly relies on remote sensing technology to overlay and compare land use data at different times and spaces. It analyzes the dynamic changes and future development trends of land use from the aspects of time, space, quantity, and quality. Remote sensing technology is mainly used for current land use surveys, land use update surveys, dynamic remote sensing monitoring of land use, and land quality surveys.
Using high-resolution remote sensing satellite data, efficient and accurate decision-making information can be provided for real-time monitoring of basic farmland after its establishment. It provides technical support for national arable land protection and food security work. It can also monitor and investigate the situations of "construction, occupation," "adjustment of use," and "abandoned land" that occur after the establishment of basic farmland to meet the remote sensing monitoring requirements for the post-establishment use of basic farmland.
The use of satellite remote sensing technology for mining monitoring has intuitive, rapid, efficient, accurate, and comprehensive characteristics, making it one of the important technical means for the Ministry of Natural Resources' mining management. It can comprehensively monitor and track the implementation of mineral resource planning, mining, mine revegetation and land reclamation, geological disaster potential points, and other situations.
By using satellite remote sensing technology's spectral characteristics, mining monitoring can reveal the scale of green areas and check suspected illegal images in mining areas. This provides information support for law enforcement by natural resources and planning departments.
Remote sensing satellite image data has played an important role in the monitoring of key watershed wetlands. It can be used for the area, scope, and functional zoning of nature reserves, scenic spots, and wetland parks, as well as the distribution of wetland types, dynamic monitoring of wetland water bodies, and monitoring of wetland vegetation changes. It provides strong support for the national wetland survey business.
Using satellite remote sensing combined with GIS and GPS technology for geological disaster monitoring and early identification can quickly identify the quantity and distribution characteristics of geological disasters. It provides a basis for disaster monitoring and prevention and offers technical services for disaster response, post-disaster recovery and reconstruction, and construction projects.
By fully utilizing the high spatial, temporal, and spectral resolution characteristics of remote sensing data, high spatial resolution remote sensing data is used to quickly identify the quantity and spatial distribution characteristics of geological disasters. High temporal resolution remote sensing data is mainly used for monitoring pre and post-disaster changes, quickly assessing disaster losses, and providing a basis for post-disaster rescue and reconstruction. High spectral remote sensing data is often used to identify regional disaster-environmental factors such as vegetation types and rock types.
Based on this, the integration of big data, artificial intelligence, and GNSS technology for the early identification of geological disasters supports the construction of an integrated monitoring and prevention system for geological disasters combining "space, sky, and land".