Study On Land Use Dynamic Change Based On GIS

Researches on LUCC (Land use/ cover change) now are the frontier problem for discussion in the researches on the global environmental change. However, studies on the dynamic change case of LUCC in typical areas are one of the most important ways to understand global changes. Urbanization has already become one of the major trends for human to change the Earth and the LUCC. Urbanization is also turning into one typically interactional process between human and the Earth.In the paper, Jinan city, which is the east-coast developed city in China, is selected as a typical area for this case study. Based on landsat TM remoted data, a model of decision tree is proposed on the basis of spectral characteristics and geosciences information, so classified precision and reliability are hence improved. And databases of land use in three periods are built. Combined with geography, landscape biocenology, statistics, fractal, data mining, science of land evaluation, a series of model, this thesis, by making use of the combination of qualitative and quantitative, analyzes the character, machine, process, change tendency and regulation of dynamic change of land use from medium scale and small scale. The results can not only provide Jinan governmental departments with the basis for the decision-making, but also a reference for a similar area.By studying on macroscopic process of regional land use change in medium scale, along with "temporal process" and "spatial pattern" axes, we analyze the spatial and temporal change of land use of Jinan, combined with land use dynamic degree, the model of composite degree index, Lorenz's Curve, transformation matrix, the model of landscape pattern indices, distribution index model, half-variation triangle function model. As for the study on microscopic process of regional land use change in small scale, the author chooses Jingshi Road from the east of Lixia Area to the west of Licheng Area, and indicates characteristic and regularities about urban expansion occupying arable land.This paper, combined quantitative statistical calculation with qualitative comparative analysis, studies systematically driving force of land use change used by buffer analysis, principal component analysis, ridge regression analysis, BP neural network and canonical correlation analysis, et al. Then the study above indicates diversity of driving factors, which is between different spatial and temporal scale and regional background condition, and complexity of spatial connection.As for the typical urban border district in small scale, the author here uses top-. down thought and bottom-up thought separately, builds the "logic regression+canonical correlation+CLUE-S" coupling model and the "MARKOV+Multi-criteria Evaluation+CA" coupling model, and applicated empirical accounting research of Licheng successfully. Then the author simulates the dynamic development course of land use spatial pattern, and predicts the dynamic development of land use spatial land structure in the future. By comparison, space development and mechanism of land use can be apprehended and recognized deeply. The foundation and reference were provided to study on land use dynamic change. The ideas and patterns for land use planning and macroeconomic regulation were provided to study on land use dynamic change.Based on the importance of arable land protection and food security, the author puts forward automatic evaluation process and techniques of the quality of arable land based on GIS. Arable land grading evaluation information system is developed based on GIS assembly. Mass data processing and spatial calculation can be achieved. Based on classification of arable land, overall evaluation model is transplanted successfully in automatic spatial allocation of basic farmland, so we build the model of decision indication system and algorithm about arable land selected as basic farmland. Priority result will be gained by comprehensive evaluation and ideal point method, so we can carry through space orientation based on the result and conservation index. Software system of arable land selected basic farmland and decision-making is developed by loosely coupled model. It achieves automation and scientification of spatial allocation of basic farmland. The scientific basis is provided for compilation about planning of land use and the arable land and basic farmland protection. It is more feasible in technique and has realistic meaning.The research combines with the projects of "The study for pattern recognition and tis application to geoscience" and "The study for pattern recognition of multivariate data and tis application to survey" from National Natural Foundation Fund,"A Software System for Updating Land Use Maps and Information System Construction in Shandong Province", "Farmland Grading in Shandong Province" and "Integrated Remote Sensing Investigation of Shandong Provincial Land Resources", and builds "the Arable Land's Grading Information System" and "Software System of Arable Land Selected Basic Farmland and Decision-making", and the systems attract the experts 'attention and favourable comment.