Research Of Forestry Resources Based On Digital Image Processing Technology

Forest is the main terrestrial ecosystems. It is the key and link to realize the unify of environment and development. It has extremely important strategic significance to the sustainable social and economic development. Forestry resources is an important component of forest resources, and it is the basement and safeguard to realize the sustainable development of the national economy. Therefore, mastering forest resources and its situation are of greet significance to the reasonal utilization and raising update. Today, technology develops rapidly; remote-sensing technology provides the main source date and technological means for global changing research. It also becomes an important modern research method of forestry resources investigation. This paper takes Longkou City as a research area, which completed the absorbing of forestry resources information based on and remote-sensing technology with the help of subject"Database updating of land use in Longkou City". The paper also illustrates the distribution of forestry in detail from a space angle. Main research contents and results in the article are as follows:Through the statistical analysis of TM remote-sensing image. Spectral information, the paper made the best available method of remote-sensing image connection, which becomes the prerequisite for the late improving of Classification Decision Tree accuracy.To obtain the type and method of extracting forest stand information using computers automatically. In the classification process, the elevation data closely related to the distribution of forest resources, and normalized vegetation index together with information after pretreatment classification combined to fore the knowledge base. By extracting the knowledge, organizing rules, creating decision trees, experts classification system will be established finally. Then, high-precision extraction of information on various topics was achieved by using the experts classification device under Erdas software.When does volume estimation of forest, two entirely different ways were carried out with the help of TM remote-sensing images. Specifically, one is the direct use of a formula (Pure forestry area equals the total area of forest land multiply vegetation coverage area) which creates pure forestry area. Then the field was surveyed using the traditional method for calculating the wood reserves every kind to obtain the research area total standing crop quantity finally. The other way is that to establish the forest timber volume spectral estimation model according to the relationship between forest reserves and the reflectance spectral characteristics of forest. By comparison it is found that these two methods are very different form the application point of view. The first method cannot make use of other methods of imaging data, as long as accessing several key data, even of the field measurements will be able to conduct operations. For areas that are not very rich, the method is fairly practical, and it can be widely promoted. But of you are not using image, the method is a very time-consuming and arduous task. Whereas the second must use image data. It has great value for large-scale rapid estimates of wood reserves.With the help of distribution index, the paper makes analysis of forestry types and spatial distribution from three aspects, such as elevation, slope and aspect angle. The research results showed as follows: Elevation is an important factor effecting forest type and distribution of the stand. Along with the altitude increasing, the atmospheric, humidity, temperature will change obviously. Gradient leads to different soil fertility, that is the proportions of input and output are different. Aspect impacts on the hours of sunshine (solar radiation energy distribution) and the sub-soil moisture. Therefore these three factors illustrated above work together and result in different distribution on different stand height, slope and aspect angle.