Project predication of construction land expansion by Tupu modeling

Study area of the research is the Land of Qinhuangdao City. The natural and socio-economic of the study area were outlined. The ecosystem composition and main characteristics of the study area were analyzed and discussed in detail based Tupu models. Tupu unit was established pattern. The basic information unit was defined as 25 meters ×25 meters. The changes of construction land area and prediction model were established. The visual interpretation of the method was used, 2002ETM⁺ and 2009 Spot remote sensing images were accurately interpreted, and obtained two construction Land map information. Through the change of construction land within seven years, the dynamic models of construction land area was researched. Finally, the law of construction land area was formulated in Qinhuangdao City. Affected factors of land use were processed. The appropriateness was created through Logistic-Markov - Cellular Automata multiplicity model. Logistic regression coefficient space has created land use suitability graph. The entire process is integration based on grid. The use of high-resolution raster data, calculation results has been greatly increased in the quantity and space. First classification of individual has forecasted and further comprehensively analyzed, so prediction accuracy has been increased. Finally, the construction land forecast of Qinhuangdao City about quantity, spatial distribution and development trend is analysed by 2016.