The Northern-Five Lakes are a series of the lakes alongside the Grand Canal in Shandong Province, namely from north to
south the Anshan Lake, Mata Lake, Nanwang Lake, Shushan Lake and Machang Lake. In history they played an essential
role to the running of the Grand Canal of China for centuries. However, drastic decrease both in amounts and in extents
happened during the past century. With the help of the remote sensing and GIS technology, using the multiple spatial data
to monitor the changes of the lakes so as to get to know objectively the status and the changing trends in order to make an
appropriate plan for better utilization, protection and management of the lake resources becomes possible and practical.
This article utilized the map in 1907, the aerial photographs in 1954, MSS imagery in 1975, TM imagery in 1987 and 2001
respectively and SPOT5 multispectral imagery in 2005 to extract the spatial distribution of the lakes in that six periods by
means of visual interpretation and supervised classification. According to the result, the decreasing magnitude, decreasing
speed and the decreasing timetable of the lakes were analyzed, which would provide important reference to quantitative
analysis of the change of the lakes.
Remote Sensing is the acquisition of information about an object without touching it. Remote sensing data and image analysis are used as major tools in investigating natural formations and man-made structures. Remote sensing techniques have proven to be very useful in the search for archaeological sites. Techniques such as aerial photography, colorinfrared photography, thermal infrared multi-spectral scanning, and radar imaging have successfully been used to locate potential archaeological sites and add questions to known sites. Image fusion, defined by Franklin and Blodgett (1933) as
the computation of three new values for a pixel based on the known relationship between the input data for the location in the image, has been advocated in a large number of papers as a suitable technique to improve the spatial appraisal of an image produced by merging low spatial resolution data with high spatial resolution data. The different images to be fused can come from different sensors of the same basic type or they may come from different types of sensors. The composite image should contain a more useful description of the scene than provided by any of the individual source
images. In our work, the simultaneously acquired SPOT5 multi-spectral images and SPOT5 panchromatic images are collected. First of all, the geometric correction is conducted to all the images with the error less than 0.5 pixels to make sure the high quality of image fusion. Then image fusion in pixel lever is performed and the image fusion quality is assessed by different criteria.