Take the Dawenhe River for an example, based on the dynamic analysis of the suspended mudsand flow where the river pushes into the Dongpinghu Lake, according to different sensors and multi-temporal remote sensing images, this paper discusses its impacts on the lake deposition near the Dawenhe River estuary, and points out the cause of forming and development of the delta. On the foundation of the data from experiments at lab and the field test outdoors, this paper analyses the relation between the content of mudsand and max wavelength by the high spectrum, and together with the relativity between the consistency of the mudsand and the satellitic remote sensing image, more precisely quantitative formula is achieved.
With the growing development of the computer, Remote Sensing (RS) and Geographical Information System (GIS), multi-data fusion is becoming more and more important in data processing. In this paper, we are trying to fuse RS images of different time, different resolutions with geophysical data such as aero magnetic data and gravitational data and geochemical data of Au, Ag, Cu, As, Pb and Zn elements. By processing RS images, we get the surface lithological and structural information relating to the gold forming. By processing the geophysical data and geochemical data, we get the information about the gold distribution as well as the environment and geological factors controlling the gold under the ground. By the fusion of all these data, we get both the gold information hiding in the surface and under the ground. After all these work, we use GIS to manage, analyze and display all these results, whether they are raster data, vector data or attribute data. On the basis of all these, we finally define the hopeful areas of the gold that serve as valuable bases for gold exploration.
Nansihu lakes are important water conservancy hinge on the east line project of Translating South Water to North. In this paper, associating with the environment investigation and estimation on the south west of Shandong, we have a dynamic detection on their water quality and water areas with remote sensing covering more than 1300 kilometers. Using the data getting at low water time (Mar.28.2001 CBERS-CCD) as well as at abundant water time (Sep.6.1994 TM), combining with sampling test data on the spot and other remote sensing information, we have an iterative classification on images getting at different time. The result shows that the difference of regional water areas above the Second Level Dams of Nansihu lakes is about 169 square kilometers between low water time and abundant water time. From the images, three classes of water can be separated, including great area wet land. The area of the first class water is 13.3 square kilometers, the second class is 102.7 square kilometers, and the third class is 345.5 square kilometers. All these classes have an obvious relativity with the chemical indexes of water pollution, such as Biology Oxygen Demand (BOD) and Dissolved Oxygen (DO) and Suspended Substance (SS), etc.
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