Research On Updating 1:10000 Land Use Information By High Resolution Satellite Image--A Case Study Of Jiaojiang Region In Taizhou

Land is the most basic resource for our living and development and it is also an important part of our country resources. Since the beginning of 20th century, the world population has dramatically increased. With the rapid economical development, the lack of land is becoming a bottleneck for our further development. At the meantime, a lot of land resources are not optimally used. This leads the decrease of the land quality and the deterioration of the world environment. The continual development of the economy has been seriously blocked. Because of its importance, how to reach a good land resource use and how to monitor its change get more and more attention from different fields.In our country, we are facing the fact that there is a great amount of population and we do not have enough plantations. Therefore we need a good land resource management to achieve an optimal use with the current plantations. A countrywide investigation of the current land use has been finished. The future emphasis will be the investigation and statistics of the change of land use. This work is the most basic and important in the lifecycle of the land management. It is a complex work and needs a great amount of actual data. With the information retrieved in the investigation phase, we can speed up the information evolution in our land management.Remote sensing technology has features such as wide-region, real time monitoring, periodical information, and comprehensive information. All these features give the possibility for a fast, objective, precise updating of land-use. Because of the wide scope of remote sensing information and the complexity of remote sensing image generation process, the remote sensing information processing technology is far behind the remote sensing technology itself. An automatic, precise, and intelligent processing technology for land use information retrieved by using remote sensing technology is still not mature. In most cases, the precision of this process is lower than the precision done by human eyes. Since the new land use investigation in 1999, high-resolution image data has become the most important data resource of land use updating. Until 2002,10m-resolution multispectral image from SPOT5 satellite and 2.5m PAN data have been the main data resource for dynamic monitoring of land use. But currentlythere are not so many researches being done to find out how to effectively use SPOT5 satellite images to update the land use information.This thesis takes the Jiaojiang region of Taizhou in Zhejiang province as an example. By using SPOT5 10m multispectral image data and 2.5m PAN data, a series studies have been done on how to rectify the remote sensing image data, how to merge images from different resources, how to classify the different image data, and how to update the land usage information. The goal of the studies is to get a feasible technology to update 1:10000 land use information by using SPOT5 satellite images.The carried out studies and the conclusions are described below:1. A study has been carried out to find out how to combine the remote sensing information and the non-remote sensing information to update the land use information. The paper topographical map is firstly to be scanned geometric corrected. Next a DRG with the same content, geometric precision and color as topographical map is created. On the base of this DRG, a DEM of Jiaojiang is generated. DRG and DEM are put in the same coordination system; this provides the basis for the later geometry rectification. During the supervised classification, the selection of samples is also applied on land use vector information.2. On the basis of reliability of data resources, the most proper method to rectify the SPOT5 image is selected. Jiaojiang region has mainly reformed by sea alluviation, but it also has some mountains here and there. The result of folding image on land use information after polynomial correction is not as expected. Therefore, a correction method based on the collinear equation is applied in the model of OrthoBA...