Research On Urban Built-up Area Expansion & Land Use Scale Based On Remote Sensing Images

The inconsistency between urban space expansion and farmland resource decrease is a focusin the geoscience fields along with the fast development of economy and the exaltation of thelevel of cities. The dissertation makes a systemic research on correlative theory and technologyabout urban expanding and urban land use scale, taking urban built-up area as researchful objectand based on remote sensing image. It is studied as emphases of the technique of extractingurban built-up area's boundary based on remote sensing image and the method of analyzingurban built-up area expanding and simulating built-up area expansion based on CA andpredicting urban land use scale and obtaining the population of built-up area based on remotesensing image. The main works and innovations are listed as follows:1. An explanation is given on the research background and significance of the dissertation.The methods of ascertaining urban land use scale are summed up. The methods of extracting theboundary of built-up area are summarized and analyzed.2. The characteristic of built-up area in remote sense image is analyzed. The project aboutextracting the boundary of built-up area is proposed. The boundary of Zhengzhou built-up area isextracted, and the conclusion of its land use scale expanding rapidly is made.3. The conclusion that the combination among the band 1 and 2 and 4 is best is proposedbased on analyzing SPOT5 multi-spectrum images. It provides academic base for extracting theboundary of built-up area truly.4. The conclusion that the method of three-index combination is best among the methods ofextracting the boundary of built-up area on the basis of the experiment on the methods what areunsupervised classification, supervised classification, BP neural network classification, NDBIand three-index combination. The method which is supervised classification is considered ifthere is no medium infrared band.5. The methods of analyzing urban bulit-up area expansion are summarized by the numbers.There are some indexes what are area change amount, area increase rate, extend velocity andextand intension on the aspect of quanity analyse, and some indexes what are immediate degree,fractal dimension, radiation shape and barycenter on the aspect of shape analyse, and someindexes what are average value, variance, standard error of built-up area area from eightdirection, expansion area and intension during differet time from eight space orientation on theaspect of space difference analyse, and some indexes what are flexibility coefficient between thecity zone area and population, allometric growth equation model on the aspect of rationalityanalyse. The situation of Zhengzhou space expanion during from 1999 to 2007 is analyzied, andsome useful conclusions are made. It provides the academic foundation for Zhengzhou toprogram urban land use.6. The new method of analyzing bulit-up area expansion on the basis of time when thebuildings are made up is proposed. It supplies a new thought for analyzing urban expanion.7. The project that making up the dynamic model of urban space expanion integratingCellular Automata with GIS is put forward based on some studies and the specialty of built-uparea space expanion. It includes three parts what are definition of CA factor, cell spatial-temporadatabase, system frame and programme model. Taken Zhengzhou as an example, aspatial-temporal dynamic model for urban growth by CA is designed, and the simulation system for urban growth of integrating CA with GIS by Visual Basic 6.0 and MapX 5.0 is developed. Itwas used to simulate urban growth in Zhengzhou East Area on the basis of remote sensingimages and land use maps. It can make the result of CA simulation visible and embedded analysebe made by GIS.8. Qualitative analysis about the development trend of Zhengzhou land use scale is madeby using R/S method. According to the result of the experiment, Zhengzhou land use scale willkeep increased trend in 15 years.9. A new kind of method is puts forward on the basis of studying the former. That isfounding corresponding Logistic model with different Parameter L by the software of SPSS, thenwhether the standard deviation between forecast value with fact value become steady or not isthe standard of ascertaining the Parameter L finally. Prediction of nonagricultural population incertain city is taken as an example. The experiment indicates the method is dependable.10. The methods of forecasting urban land use scale based on single factor are summarized.Those models, Linearity regression, compound interest, grey system, logistic, twain stepsself-regression, hyperbola, allometric growth model, are used to forecast urban land use scale.Eight prediction models about Zhengzhou bulit-up area are made, and the results of predictionare contrasted and analyzed. The conclusions those the grey system GM(1,1) model is used inthe near future ,the allometric growth model in the metaphase and logistic model at a specifiedfuture date are made.11. the method of predicting urban land use scale based on many factors is proposed. Boththe BP neural network prediction model and the multi-regression analysis model are two modelsBased on many factors. There are four models made up to predict urban land scale in Zhengzhoucity, what are the BP neural network prediction model,the multi-regression analysis model,GM(1,1)model and Logistic model. The result shows that the motheds based on many factorshave a high precision. It also shows that the BP neural network has better precision than themulti-regression model.12. After analyzing shortage of usual city vital statistics and summarizing themethods of city population estimation based on remote sense images, a new method ofobtaining population data in bulit-up area is proposed, which is based on remote senseimages and population GIS. There are six models made up to predict urban population inZhengzhou city in the future.