Land Use Rmote Sensing At Mining Area And Analysis Of Landscape Pattern

Mineral resources are an important basis for national socio-economic development and an important resource for human physical life,so more and more mineral resources are mined,driven by the rapid development of human society.However,the large-scale exploitation of mineral resources,will inevitably bring about a series of problems.Among them,how to land use monitoring mining area,is a bear the brunt of the problem.Remote sensing technology in land use survey work was matures,it has been widely used,particularly in the mining land use remote sensing monitoring.Natural landscape pattern is the result of biological and ecological processes in society on different spatial scales of interaction,but also various natural environmental factors determine the distribution and composition in the landscape space,thereby restricting the variety of ecological processes,affect the landscape within energy flow,material flow changes.Accordingly,the principles and methods of applied ecology,and landscape pattern on the evolution of the rare earth mining area were analyzed.With the help of relevant basic data of the study area in 1995 TM image that in 2000 TM image that in 2006 TM image and 2013 Landsat8 images for interpretation.Using the ENVI Software Central African supervised and supervised classification of the study area land use extraction,classification methods evaluate the accuracy comparison of the different methods in the study area classification category strengths and weaknesses,and ultimately select the appropriate image classification method in the study area.With the four image classification results,analysis of the situation of land use types Lian River drainage area changes over time,and changes in land use transfer matrix,research the whereabouts of various land use changes.Path analysis software to calculate the final application within the watershed landscape index,the plaque type,and landscape the three levels of the evolution of the study area landscape pattern analysis.The following conclusions:(1)If a single use of a supervised classification method for the entire study area categorize effect is not ideal,by analyzing the different supervised classification method of classification for a particular feature,and the study area mining land distribution is more concentrated,and therefore will be mine cut out,better use of mining classification maximum likelihood classification method to classify the rest of the study area is choose a higher overall classification accuracy of SVM method to achieve the purpose of improving the classification performance.(2)By study area four image classification result map and related statistical results found in the study area of mining trend after the first increased and then decreased after 2006 years ago,the study area mining land area of maximum peak,to 2013 mining land area decreased.The trend curve woodland area just opposite the mining land area change,its causes and local economic development and government policies have a direct contact.(3)In remote sensing change detection can be found in nearly 20 years of land use changes is the biggest woodland and farmland and other land to class two,after months of 2006 is the most significant land use changes for some time.(4)In 1995 to 2013 between landscape types in the study area were changed,including the most obvious changes is woodland,arable land and other land and mining land in the whole spatial pattern in woodland landscape accounting of landscape largest proportion.Mining areas,changes the whole landscape pattern also had some impact,mainly in the area of enhanced forest landscape patches reduce its crushing degree.(5)Analysis of the study area shows that the overall level of landscape pattern,1995--2013 Landscape more moderate change,from both Shannon index can be seen,has been the dominant landscape vegetation type,distribution imbalances throughout the study area of landscape types change is not very obvious,indicating the study area,the ecological environment has become more stable,the external environment is not causing a great impact.(6)The analysis showed that the driving force leading to landscape pattern Lian River Basin deterioration of rare earth mining,leaving the landscape pattern Lian River Basin obtain a driving force for improvement of government policy factors.