What are the applications of remote sensing technology?

Application examples of remote sensing technology;

I. Image map

Image map refers to a kind of map with ground remote sensing image, which uses aerial photos or satellite remote sensing images, undergoes geometric correction, projection transformation and scale normalization, and uses certain map symbols and notes to directly reflect the geographical characteristics and spatial distribution of mapping objects.

The development of image map is closely related to the development of aerial photography, aerial survey technology and aerospace technology. Aerial photogrammetry experienced from analog photogrammetry in 1930s to analytical photogrammetry in 1970s. At the end of 1980s, digital photogrammetry rose and developed into full digital photogrammetry.

Second, remote sensing images.

Remote sensing images processed by computer must be digital images. Analog images obtained by photography must be converted from analog to digital (A/D) by an image scanner. The digital data obtained by scanning must be transferred to a general carrier that can be read by a general digital computer, such as CCT.

Computer image processing should be carried out in the image processing system. The image processing system consists of hardware (computer, monitor, digitizer, tape drive, etc.). ) and software (with data input, output, correction, conversion, classification and other functions). Image processing mainly includes correction, transformation and classification.

Three. Agricultural remote sensing

Agricultural remote sensing refers to the comprehensive technology that uses remote sensing technology to investigate agricultural resources, analyze the present situation of land use, monitor agricultural diseases and insect pests, estimate crop yield and other agricultural applications, and can obtain crop image data, including crop growth and predict crop diseases and insect pests.

It is a comprehensive technology that combines remote sensing technology with various agricultural disciplines and technologies to serve agricultural development. It mainly includes using remote sensing technology to investigate land resources, investigate and analyze land use status, monitor and analyze crop growth, predict plant diseases and insect pests, and estimate crop yield. It is one of the biggest users of remote sensing applications at present.

Fourth, disaster remote sensing.

Because the application of remote sensing technology in flood disasters is mature, it is widely adopted by all countries in the world. However, due to the unresolved world frontier issues such as medium and long-term weather forecast, the forecasting work is weak. Its application mainly focuses on rapid response, emergency rescue and post-disaster reconstruction.

Verb (abbreviation of verb) water quality monitoring

Water quality monitoring is a process of monitoring and determining the types, concentrations and changing trends of pollutants in water, and evaluating water quality. The monitoring scope is very extensive, including unpolluted and polluted natural water (rivers, lakes, oceans and groundwater) and various industrial drainage.

The main monitoring items can be divided into two categories: one is the comprehensive indicators reflecting water quality, such as temperature, chromaticity, turbidity, pH value, conductivity, suspended solids, dissolved oxygen, chemical oxygen demand, biochemical oxygen demand, etc. One is some toxic substances, such as phenol, cyanide, arsenic, lead, chromium, cadmium, mercury and organic pesticides. In order to objectively evaluate the water quality of rivers and oceans, it is sometimes necessary to measure the velocity and discharge.

Baidu Encyclopedia-Remote Sensing