Study On The Present Growing Situation Of Trees Based On Remote Sensing Data

This paper dealed with the comprehensive study on techniques of extracting the information of Beijing-Tianjin Sand Storm Source Project and trees' growing situation.The main contents and conclusions were as follows:(1 Processing imageThe image were treated in these steps:band selection, ortho-rectification, image fusion and enhancement processing. The correction module was selected by PCI which provided specifically for processing high spatial resolution satellite remote sensing images such as QuickBird,and the effect was ideal;sharpening was better,and enhanced image processing after the fusion was better,could reduce the noise,so that the tree crown's information was significantly enhanced.The processed image was obviously rich in high resolution and spectral information.(2)Extracting Beijing-Tianjin Sand Storm Source Project information of Zhangshanying Town,Yanqing countyBased on QuickBird,source areas of the Beijing-Tianjin Sand Storm Source Project information of Zhangshanying Town,Yanqing county were extracted via spectral feature analysis and the man-machine interactive classification method,and making comparative analysis with Secondary Investigated Data through the investigation to verify the sample.The results showed that the lowest precision was 72.9%,The highest precision was 98.7%,the average precision was 84.8%,and the method was effective,quick,scientific,and it could acquire a better accuracy.(3)Studing on the present growing situation of treesThe tree's present growing situation was described by the indicators:tree-crown's information in a micro perspective.The tree crowns were extracted based on the object-oriented method from the QuickBird high resolution(0.6m)remote sensing image in the Beijing-Tianjin Sand Storm Source Project of Zhangshanying Town,Yanqing country,Beijing.The treatment of ortho-rectification,the fusion and the enhancement have been done for QuickBird remote sensing data.The imagery was segmented via different scale parameters,and next,the tree crown's information was extracted and transformed into vector data. According to ArcGis, the diameter of tree crown was calculated direct.The research results illustrated that the lowest precision of the tree crown diameter was 68.49%,the highest precision of the tree crown diameter was 96.01%,the average precision of the tree crown diameter was 80.02%,it could acquire a better accuracy.The lowest preserving rate of the planting trees was 50.86%,the highest preserving rate of the planting trees was 74.10%,the average preserving rate of the planting trees was 62.38%.It provided scientific basis for the Beijing-Tianjin Sand Storm Source Projection assisted by remote sensing data.