Analyzing And Optimizing Forest Stand Spatial Structure Based On High-resolution Remote Sensing Image

The research on the spacial structure of forests is conducive to better understanding of forest community structure, mastery of woods distribution pattern and evolution progression, and meaningful prediction of forest changing trend. By binding a digital camera to an aero-modeling airplane, the author have collected the high resolution remote sensing image of the sector under research, then acquired the woods attributes and space attributes through data processing in later state, and finally put forward feasible regression model on the basis of field investigation and verification. With this method, the paper delves into the analysis of the spacial structure of different forest stands in the survey region, and selected the four classic index-uniform angle index, neighborhood comparision,mingling, competition index,that can reflect the features of spacial structure. It analyzes the evolution features of the forest plantation by comparing the spacial structures of homogeneous plantations with different growing situations and those of heterogeneous plantations with similar growing situations. Based on the results of spacial structure analysis, selective cutting is carried out in the survey area according to5%,10%,15%and20%optimum programs. In the following, the spacial structures after the selective felling are respectively displayed on the remote sensing images, and stats of uniform angle index, neighborhood comparision,mingling, competition index are calculated each. Via comparison of the stats, it’s found that15%intensity of selective cutting is most suitable to Platycladus orientalis plantations in general state of growth to regenerate,10%to Platycladus orientalis plantations and5%to Quercus variabilis plantations under better growth state to optimize their spacial structures and present the best aesthetic visual effects at the meantime.