The main role of remote sensing technology in forest resources survey?

The main roles of remote sensing technology in forest resources investigation include:

1.Improve the efficiency of forest resource surveys. Remote sensing technology has the advantages of macroscopic, multi-temporal, multi-resolution and multi-band, which can quickly and effectively obtain forest resource information.

2.The accuracy of some sample plot surveys that cannot be measured manually has been improved. Remote sensing technology can quickly and accurately obtain sample plot information, thereby improving the accuracy of the survey.

3.It provides a certain basis for the state and all levels to formulate economic and environmental development plans, policies, guidelines, etc. Remote sensing technology can quickly obtain forest resource information and provide data support for decision-making.

4.Monitoring changes in forest resources. Remote sensing technology can obtain information on the dynamic changes of forest resources in a timely manner, which is conducive to timely measures.

5.To achieve the sustainable use of forest resources and the sustainable development of forestry economy. Remote sensing technology can accurately obtain information on the quantity, quality and spatial distribution of forest resources, which is conducive to the sustainable use of forest resources and the sustainable development of forestry economy.

6.Promote scientific and technological progress in the field of forest surveys. As an emerging scientific and technological means, remote sensing technology can promote scientific and technological progress in the field of forest survey.

Generally speaking, forest surveys can be divided into three types: local resource surveys, national forest surveys and global monitoring according to the scope of the survey area, and the corresponding monitoring contents include land use, land cover, land attenuation, site type, soil type, topography, tenure, accessibility, biomass, forest stock, other forest products, biodiversity, forest health, wildlife, human activities and hydrology. Depending on the type of survey, a subset of the above information can be selected for measurement. Remote sensing images can quickly and effectively investigate forest resources with their macroscopic, multi-temporal image, multi-resolution, multi-band, and affordable advantages.

TM satellite images are generally used for national and large-scale forest resource surveys, while spot or quickbird images are used for regional surveys.

In forestry, remote sensing technology can be used to efficiently acquire, analyze, manage and evaluate forest ecosystems and resources in an all-round way.

1. Forest resources survey: remote sensing technology can monitor large forest areas in real time, conduct detailed assessment of forest growth status, canopy structure, terrain elevation difference, ground feature types, total forest area, forest growth rate, etc., accurately improve the growth trend of forest areas, and conduct all-round investigation of forest resources.

2. Monitoring of forest diseases and pests: Remote sensing technology can assess the health status and damage of forest trees by detecting forest growth status, spatial distribution and temporal changes. Through remote sensing image analysis, forest pests and diseases can be detected earlier, and the spatial scope of pests and diseases can be investigated, so as to carry out prevention and control treatment faster and more accurately.

3. Dynamic monitoring of forest fires: remote sensing technology can use thermal infrared remote sensing technology to detect the temperature of forest areas and the location of infected fire sources, so as to dynamically monitor and warn forest fires. Real-time grasp of forest fire dynamics can effectively reduce the harm of forest fires and protect the ecology and safety of forest areas.

4. Forest carbon storage assessment: Forest ecosystems play an important role in the earth's ecosystem, and forest carbon storage evaluation is one of the important indicators of forest evaluation. Remote sensing technology can accurately calculate and evaluate forest carbon storage, and make and evaluate the dynamic changes of forest carbon cycle and inspection wheel, so as to provide data support for the formulation of forest carbon emission reduction plans and the protection of forest resources.

Remote sensing technology has a wide range of applications in forestry, and has great advantages in forest resources investigation, forest pest monitoring, forest fire dynamic monitoring, forest carbon storage evaluation, etc., which helps us better understand and manage forest ecosystems, improves the protection and utilization efficiency of forest resources, and has a positive significance for the sustainable development of forestry.

The origin of remote sensing technology

The origin of remote sensing technology can be traced back to the United States in the late 30s of the 20th century. At that time, with the rapid development of aircraft, cameras and other technologies, the United States Geological Survey took the lead in the research and application of aerial photography. In 1943, the United States used a large number of aerial cameras to carry out photographic monitoring of Japanese targets in World War II, which laid the foundation for the development of remote sensing technology in the future.

With the rapid improvement of science and technology, in the early 1950s, remote sensing technology in the United States gradually emerged. At that time, the National Resources Board of the United States conducted a comprehensive survey of the state of land use, forestry, hydrology, wildlife and other resources throughout the United States.

In the 60s of the 20th century, the United States used remote sensing technology on a large scale to conduct research on agriculture and natural resources. Since then, with the development of satellite technology and the great progress of algorithms and software in remote sensing image processing, remote sensing technology has also been widely used in many fields, including environmental monitoring, meteorology, urban planning, and national defense and security.

Summary. According to your question, there is the following understanding, remote sensing technology has effectively promoted the development of forestry, it can not only detect forest diseases and pests, achieve complete dynamic monitoring and scientific basis, inhibit the rate of pest invasion, but also clearly calculate the statistical plant type, fine measurement.

Based on what you have learned, talk about your understanding of the application of remote sensing technology in forestry work.

Hello classmates According to your question, there is the following understanding, remote sensing technology has effectively promoted the development of forestry, it can not only detect forest diseases and pests, achieve complete dynamic monitoring and scientific basis, inhibit the rate of pest invasion, but also can clearly calculate the type of plant and fine measurement of the royal shed.

It focuses on the research of remote sensing quantitative closed-attack extraction model and ageing method of forest farm resources and ecological information, and carries out the development and application of software such as high-resolution desertification forest and grass resources monitoring and forest and grass fire inspection.

l.With the development of remote sensing technology, the application of forestry remote sensing technology in production at this stage has begun to develop from the working mode based on aerial photographs + ground survey to the working mode assisted by satellite photographs + aerial photographs + ground surveys.

2. Forestry remote sensing should move from qualitative to quantitative, from static estimation to dynamic monitoring, and from experiment to practical application.

3.Use of new remote sensing data, Landsat-1 ...7、spot1…5. CBERS, radar images and hyperspectral images (Modis), ikonos, quickbird, etc.

4.A variety of information compounding, such as different phases, different sensors, and different resolution information, can improve the classification accuracy of forestry remote sensing.

5. Expand the research content of forestry remote sensing: in addition to resource investigation, it should also include site evaluation, zoning, and disaster monitoring; Environmental pollution monitoring, business activity analysis, construction, greening, population monitoring, etc.;

6. Combine improvement with popularization to turn research results into productivity as soon as possible;

The characteristics of forestry remote sensing are determined by the characteristics of forestry work and remote sensing itself, and remote sensing technology is mainly used in forestry in resource inventory and monitoring, fire monitoring and forecasting, pest and disease monitoring, fire assessment, etc.

1) The vastness of forestry resources determines the arduousness and complexity of forestry resources investigation. The establishment and progress of sampling technology requires forestry remote sensing platforms with different heights to obtain multi-level remote sensing data, and cooperate with multi-stage sampling technology to improve the speed and accuracy of resource survey.

2) The regenerative and periodic nature of forestry resources determines that remote sensing technology must continuously provide information on forestry resources, including seasonal changes in the year - multi-temporal remote sensing, and resource changes in a certain year - dynamic remote sensing.

3) Forestry resources include forestry land area, forest volume and its dynamic changes, which require quantitative data and have certain accuracy. Therefore, remote sensing of forestry resources emphasizes quantitative analysis to adapt to the investigation and management of forestry resources.

4) The forestry environment depends on the geographical environment, which in turn acts on the surrounding geographical environment. This requires forestry remote sensing to have various types of sensors and different films, accept and record various attributes of ground objects, and provide a scientific basis for rational planning and development of forestry production.