GIS Park

Soil erosion is one of global environmental problems, fathering water and soil losses is one of important measures for improving the ecological environment, this have very important signification. Soil erosion in the loess Plateau,is great environmental Problem at Present , and soil erosion monitoring is of great significance for stipulateing thecountermeasures against soil erosion.Following the development of modern remote sensing technology, many new pattern sensors come into being, and run to multi-sensor from single sensor. Now, more and more Multi-spectral, multi-resolution and multi-temporal Image data can be obtained by various sensors on the same district, these sensors provide abundant and precious data for natural resource survey, environment monitoring and many other fields. Remote sensing is rapid ,Intuitionistic on monitoring ecological environment in big scale, and the research on multi-source information fusion for remote sensing images are becoming more and more attracting in recent years, images fusion is one of the most effective ways of exploiting remote sensing images.The fusion of multi-source remote sensing images can utilize the multi-source information and obtain richer and more objective information compared with the single source image data. This paper present the development of remote sensing image fusion,the rationale of some fusion arithmetic, evaluation index of image fusion applications, and point some problems in remote sensing image fusion at the last. Base on ALOS panchromatic and multispectral images, applying PCA, Mutiplicative and Brovey three fusion methods, and estimating the effect of the fusion images, images of the loess hilly region of Northern Shaanxi Province. As a result ,the Brovey method gets the advantage over other fusion methods in the aspect of visual results and identifying precision. And it could significantly improve the classification accuracy of the research area.In this paper,based on the ALOS images after Brovey transforms and 1:5 topographic map as the main information sources, by the method of remote sensing digital image processing , the author has extracted leading factors of soil and water loss, such as vegetation cover, land-use type .Got digital elevation model(DEM) by using 1:5 topographic map,then slop is calculated through DEM. Founding the standard for classification and gradation of soil erosion, by the spatial analysis of GIS, the author has proposed gradation index of soil and water loss of research area.By using the geographic information system program Arcview, Arc-info and landscape analysis program Fragstates 3.3. The spatial pattem of soil erosion in research area is analyzed and the degree of fragm entation is evaluated. We use the overall landscape properties the area properties, the perimeter properties, the numbers of patches of landscape element and the double-logged fractal dimension to draw the conclusions which are the middle, intensive and slightly soil erosion grades distributing in the most of the area. The number of The patches are so many, so there are high degree of fragmentation inversely in the area . The patches of intensive and strongest grades are a higher degree of fragmentation inversely . In brief , the soil erosion in research area is serious,it is so complicated of the landscape pattern in soil erosion grades distributing.