Research On Land Use And Land Cover Change And Its Driving Forces In Daqing Area

LUCC is the most important point in global environment change nowadays. IGBP and HDP put forward LUCC research planning together , make a new field of global environment change come true. Over the past ten years , global LUCC research has made big progress. The theory of LUCC and its method become perfect. and many organizations join in the study enable LUCC to be in the ascendant. Now, the focus of LUCC turns from global research to the district research. In recent years, with the rapid development of 3S technology especially the data of remote sensing can be gotten accurately and perfect data measurement, it offers fast and convenient research method. This paper is based on RS and GIS , analyses the characteristics of LUC of three periods in Daqing city, discusses the traits of LUCC of different periods, and discusses the driving forces from two aspects-nature factor and social factor, and forecasts the future land use pattern ,points out the focus of land use continuable development.This research includes three significant problems , they are: the gaining of the LUCC data in Daqing area, the translation of land use pattern and its driving forces research, forecasts of the future land use pattern research.. In the process of the study, we obtain the data that we need through manpower estimation and interpretation based on GIS, then put the results into software ENVI, reclassify land use types using masking technology and decision tree. At last, we utilize change detection technology and obtain land use and change statistic data of different periods. we analyse the characters of land use pattern mainly through parameter models like land use rate of single land type,land use rates of whole area, relative land use rates and translation matrix of land use types, discuss the quantity of land resource, land use degree, land use difference between sections and land use type change. Driving force research is based on primary clue-the exploitation of Daqing oil field. And we use Markov model to forecast the future land use pattern.