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Changes Of Landscape Pattern Based On Land Use And Drivingforce Analysis Of Huaxian From 1990 To 2014

Posted on:2017-10-16Degree:MasterType:Thesis
Country:ChinaCandidate:Y Z YueFull Text:PDF
GTID:2310330488463775Subject:Cartography and Geographic Information System
Abstract/Summary:PDF Full Text Request
Landscape pattern of land-use is a direct reflection of human activities, natural activities and economic development of the state to a certain extent. Humans can recognize the impact of their behavior on the change of ecological environment by analyzing its process of change,summarizing its changeable rule and clearing its driving factor.It is the reliable basis for the rational use of land resources, environmental protection and optimizing the development of policies.Huaxian, located in the north of Hennan Province,is a major grain-producing base with a strong economic strength in China. In recent years,Huaxian get power because of the national policies, the rise of midland of China, the reform of system and the agricultural development of Henan,and the structure of land has been changed severely. The conflicts between economic development and land resources are becoming increasingly acut. Accordingly, In this paper,the author summarizes change of landscape pattern and driving factors for Huaxian nearly 25 years,and based on RS and GIS, proposals of development are put forward. The main conclusions are followed below:(1)This paper obtained the monitoring classification result of land-use of Huaxian district. BP neural network classification method,one of the most methods in monitoring classification,is used in this study. According to accuracy assessments, the overall classification accuracy of each result was 84%,83%,88%,and values of KAPPA were 0.83,0.86,0.87, which met minimum classification accuracy.(2) Calculations of the kinds of landscape index and analysis in the study area: This study choose the corresponding index to evaluate spatial structure change of land use type, change of dominance and diversity, change of fragmentation through changeable trend of landscape pattern that Huaxian enjoys index. The results indicate : the proportion of area of arable land and green land is shrinked, the fragmentation is increased year by year and the dominance is reduced; in addition, the proportion of area of the land of construction and traffic are substantially rised with rapid economic development, the fragmentation is decreased year by year, the dominance is increased; what's more, system of river in the study area is less, and has little change; eventually, Overall trend in the study area is that index of landscape diversity and index of evenness is increased, the gap of dominance of various types of landscape is decreased, and the patch type and shape of landscape tend to be more complicated. it is proved that the developmental situation of landscape features gradually tend to be more balanced..(3) The summaries to driving factors of landscape pattern change in the study area: according to Grey Relational Analysis,use the number of population, industrial output, construction output and annual per capita income to analysis the relevance of each other. The results show that The order of the factors is total population> annual per capita income> industrial output> construction output. And there is a analysis of the driving factor in terms of the size of economic development and construction of urbanization, development of forest, developmental situation of buildings,policy of development and so on.(4)Suggestions for the sustainable development in the study area: Combining with the driving factors of landscape pattern change and the characteristics of economic structure, it is proposed to control the size of population,optimize the economic structure, strengthen the construction of urbanization, improve the system of land management and so on, which provide a reference for the economic development and rational utilization of land resources in the study area.
Keywords/Search Tags:remote Sensing, Land-use, supervised classification, landscape pattern, driving factor
PDF Full Text Request
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