Research on the Land Use of Remote Sensing Information Change Extraction

By making use of satellite remote sensing image of types of land use classification and dynamic changes in the applications of remote sensing monitoring is an important issue.At present,with the tense situation of land is getting worse and land use pattern changes constantly,so using remote sensing technology to land in the use of resources and planning has important social value and practical significance.Based on different periods of ETM+ and SPOT—5 remote sensing satellite image data,carried out supervised classification,land use data of two periods were extracted,and dynamic monitoring of the study area land use were completed,then summarized the information and characteristics of the land use changes.Finally,the classification precision evaluation was analysed.Establish by establish Interpretion marks and analyzing the study area can get the data of land use type change and extract rapidly the land use type change information.The study area Jinxi City located in the western Liaoning Province.The altitude is generally(20~500)m.The mountain toward the north-east,the terrain is generally high in the northwest to southeast.The area has many types of vegetation including the the type of the forest,bush,farmland,alkaline land.According to the actual situation,the area was divided into forest land,cultivated land,residents land and unused land(the area to bare land primarily),water(including rivers and reservoirs,sea and beach),and other categories.Research showed that the three categories of cultivated land,residents land and unused land change largely.The supervised classification precision of ETM+ image is 90.169 2%,and Kappa value is 0.826 8;for SPOT—5,the image classification precision is 95.147 7%,and Kappa value is 0.936 1.Due to the resolution of the image SPOT—5 is higher,so the classification effect is better than ETM + image,which can more accurately reflects the land types of information and characteristics.