Applications of Satellite Based Remote Sensing Technology in Earth Surveying

The Earth is our home, rich with essential mineral resources such as oil, coal, natural gas, iron, copper, gold, and nickel. However, due to active crustal movements, natural disasters frequently occur worldwide. Consequently, Earth surveying has become a focal point in today's geological work. Satellite based remote sensing technology, with its intuitive, accurate, dynamic, comprehensive, and multi-layered advantages, plays an essential role in Earth surveying.

Remote sensing can be simply understood as "perception from a distance" and can be categorized into satellite based remote sensing, aerial remote sensing, etc., based on the platform of the remote sensing sensor. Generally, satellite based remote sensing technology uses an "overlooking perspective" to observe the ground, acquiring spectral imaging information far beyond what the human eye can see through various sensors. 

Currently, satellite based remote sensing has formed a global Earth observation system combining high, medium, and low orbits, coordinating various satellites of different sizes, and supplementing high, medium, and low resolutions, facilitating comprehensive surveys of the Earth.

Surveying Topography and Detecting the Environment with Satellite Based Remote Sensing Technology

Two of the most widely applied fields of satellite based remote sensing technology in Earth surveying are topography mapping and environmental detection. In topographic studies, satellite based remote sensing technology can detect terrestrial features and transmit remote sensing images and data back to the ground. By interpreting these images and data, one can understand the geological environment of the area and infer whether there are undeveloped mineral resources. 

Additionally, satellite based remote sensing technology can provide elevation data to generate a Digital Elevation Model (DEM), which is a dataset of planimetric coordinates and elevation values within a specified range, to describe the spatial distribution of landforms and perform 3D modeling of terrain.

In environmental monitoring, satellite based remote sensing technology can identify issues such as environmental pollution, ecological destruction, and biodiversity loss, acquiring information on the distribution of related pollutants in the atmosphere, surface water, and soil. 

For example, satellite based remote sensing can be used to observe the distribution, diffusion, and evolution of atmospheric pollutants and analyze trends in environmental elements such as grasslands, wetlands, lakes, and glaciers using remote sensing data with different spatial resolutions. In summary, satellite based remote sensing technology, as a primary method for integrated "air-space-ground" investigations, plays a crucial role in the field of environmental monitoring.

The Development of Satellite Based Remote Sensing Technology

With the rapid advancements in high-tech fields such as computer technology, satellite based remote sensing technology is also continuously improving. In the future, satellite based remote sensing technology will provide higher spatiotemporal resolution image data and explore the potential of high-resolution data in various geological applications. 

Hyperspectral remote sensing technology is a typical example of this advancement, capable of simultaneously obtaining radiation information, spectral information, and terrestrial spatial information using imaging spectrometers and nanometer-level spectral resolution. This capability allows it to reveal a multitude of physical and chemical information about a location.

Additionally, the current surge in artificial intelligence technology can significantly contribute to the continual positive impact of satellite based remote sensing technology in Earth surveying. In-depth research and transformation of remote sensing technology from data, algorithms, and computing power can lead to the formation of deep intelligent remote sensing based on cloud computing and big data. 

For instance, image processing methods based on deep learning and other AI technologies can be developed to enhance remote sensing image recognition and classification accuracy, allowing for the rapid processing of massive data.

As a crucial means of Earth surveying, satellite based remote sensing technology provides robust support for rapid resource exploration, environmental monitoring, and natural disaster warning, making it an economically feasible method. In the future, efforts should continue to accelerate the integration of satellite based remote sensing technology with other high-precision technologies, contributing to the development of Earth sciences.