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Identification And Evaluation Of The "Production-Living-Ecological" Space In Maoxian Based On The Multi-source Data

Posted on:2019-03-27Degree:MasterType:Thesis
Country:ChinaCandidate:Y L QingFull Text:PDF
GTID:2370330545978671Subject:Remote sensing technology and applications
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With the development of human society,the original space vector(Production-Living-Ecological space)has not been able to adapt and meet the new demand for production,living and ecological.There is an urgent to seek scientific and reasonable methods to guide the new balance of "Production-Living-Ecological" space and realize the space reconstruction.Maoxian is located in the geological disaster prone zone and belongs to the canyon area.Because of its special natural environment,climate and other factors of comprehensive impact constraints was listed as a Provincial poverty-stricken county of compact nationalities with Qiang ethnic minority predominating.Identification,analysis and evaluation of the status of "Production-Living-Ecological" space in maoxian has important significance to guiding the county land space layout optimization,planning "Production-Living-Ecological" space spatial structure of land use,and promoting the balance between human society,economic development and environmental protection.This study takes Maoxian as the research object,based on the multi-source data to study the recognition model and its difference of the "Production-Living-Ecological" space in the county area.Analyzes the spatial layout characteristics of the "Production-Living-Ecological" space in the alpine-gorge-area.The index evaluation system was established to separately evaluate the "Production-Living-Ecological" space,and put forward some suggestions for optimizing the spatial pattern of "Production-Living-Ecological" space.The main research contents include below:(1)In order to explore the the differences between Multi-source data,this study takes Guangming Town and Fengyi Town as sample areas,based on remote sensing images of GF-1 and Landsat 8,using the object oriented method,setting up the appropriate image segmentation and merging size,constructing the recognition modelof production,living and ecological space.The false extraction rate and missing problem rate of Landsat 8 images were all > 10%;The false extraction rate and missing problem rate of GF-1 was about 7.00%.It shows that the recognition model on GF-1image is better.(2)The remote sensing image of GF-1 is used to preliminarily recognized the "Production-Living-Ecological" space in the county area,and the recognition results are corrected by using the data of the second national land survey,ecological red line and forestry.Using Google Earth and field verification to verify the accuracy of the Correction result.The present situation of “Production-Living-Ecological” space in Maoxian county was analyzed with the factors of terrain factor,composite index of land use degree,information entropy and fractal dimension.The results show that:(1)The area of production space was accounting for 10.40% of county area,mainly distributed the region of the slope between 15 to 45 °,sunny slope and Semi-sunny slope,the elevation between 1800 to 2800 m and the relif degree of topography between 200to1000 m.(2)The area of living space was accounting for 0.71%,mainly distributed the region of the slope between 0 to 25 °,semi-sunny slope,half-shady slope and sunny slope,the elevation between 1300 to 1800 m and the relif degree of topography between70 to500 m.(3)The area of ecological space area was accounting for88.90%,mainly distributed the region of the slope between 25 to 45 °,the elevation > 2300 m and the relif degree of topography between 200 to1000 m.(3)Based on the idea of "trinity" of production,living and ecological space,affecting factors such as soil erosion,terrain niche index,NDVI and else are selected to established the index evaluation system of "Production-Living-Ecological" space,and the index weight was determined by AHP and Entropy weight method.The results show that:(1)The level 2 of production space s was occupies the main position of production space(accounting for 71.40%),mainly distributed in the central and northern part of the county.(2)The residential of the key construction mainly distributed in the northern part of the county,close to the river and the road on both sides and the low altitude(<1800m)on flat terrain;scale control is mainly distributed in the county along the river,the central and northern part of the county and from a distance of the relative altitude low(1300-2300m)on relatively flat terrain;the type of combined migration is mainly distributed in the central and southern part of the county in the relatively high altitude(2300-3300m)on relatively flat terrain.(3)The ecological environment quality of county area is good as a whole,however,the ecological environment quality of north countyand both sides of river is poor,accounting for 19.99% of the ecological space area of county area.
Keywords/Search Tags:GF-1, Landsat8, "Production-Living-Ecological" Space, Object oriented, maoxian
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