What information does the remote sensing digital image contain?

Remote sensing digital images contain rich information, including the following aspects:

1. Spectral information:

Remote sensing images record spectral information in different wavelength ranges. Through the recording of different bands, the spectral reflection characteristics of ground objects can be obtained, which can be used in the classification of ground objects, vegetation analysis, water detection and other applications.

2. Spatial information:

Remote sensing images record the spatial distribution information of the earth's surface. Each pixel has a specific position coordinate, which can be used to make maps, measure the shape and position of ground objects, and conduct geospatial analysis.

3. Shape and texture information:

The shape and texture features of ground objects in remote sensing images can be used to extract and classify ground objects. The boundaries, texture patterns and structural features of ground objects can be obtained from remote sensing images for image interpretation and analysis.

4. Time information:

Multi-temporal remote sensing images can provide information about surface changes. Through the comparative analysis of remote sensing images at multiple time points, we can detect the dynamic changes of the surface, such as land use changes and vegetation growth.

5. Resolution information:

The resolution information of remote sensing image reflects the smallest detail size that can be resolved in the image. High-resolution images can provide more detailed information about ground objects, while low-resolution images provide wider ground coverage.

Remote sensing image processing and analysis technology can extract, interpret and utilize this information. Remote sensing images are widely used in land management, environmental monitoring, resource investigation, disaster assessment and other fields.