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A Study On Remote Sensing Monitoring Of Urban Expansion And Regional SO2 Spatial Distribution In Central Plains City Cluster

Posted on:2019-07-14Degree:DoctorType:Dissertation
Country:ChinaCandidate:Y ChengFull Text:PDF
GTID:1361330569497814Subject:Cartography and Geographic Information System
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With the rapid development of economy,the process of urbanization in China has accelerated gradually.Urban expansion leads to more and more frequently human social and economic activities,which also exert far-reaching impact on natural environment and climate all over the world.Air pollution problem becomes one of the main environmental pollution problems and has attract great attention from the whole society.Therefore,exploring the relationship between urbanization and air pollution can provide a basis for guiding urban sustainable development.Detailed works and main conclusions are as follows:?1?Combining the Biophysical Composition Index?BCI?and night light data?Nighttime Light,NTL?,we proposed BCI-assisted NTLIndex for UAD?Distribution of Urban?extraction.This method can describe urban built-up areas more accurately and the outline is more detailed.Compared with the NDVI SVM extraction method,the average of total precision?OA?and Kappa coefficient improve 6.67% and 0.28,respectively.The accuracy of cities with hybrid interval values above 56% improved drastically.Hence,BANI algorithm is a reliable alternative method for extracting urban land data.?2?We analyzed urban dynamic changes and the spatial distribution characteristics of SO2 column concentration of Central Plains city cluster from 2007 to 2017,including the overall trend and the characteristics of the single city.The correlation between these two characteristics is analyzed on the basis of regression models.The main expansion trend of urban cluster is consistent with the high concentration distribution area of SO2.The correlation coefficient between urban built-up area and SO2 column concentration reached 0.96 And the correlation coefficient between urban dynamic area change and SO2 column concentration was 0.88.?3?Based on TASI data source,we proposed a trace gas detection algorithm using airborne hyperspectral thermal infrared data.Based on the clutter matched filtering?CMF?algorithm,we introduced the expansion idea into the algorithmto detect trace gas plume.Compared to the surface temperature,the method can reflect the diffusion trend and diffusion trajectory of trace gas.
Keywords/Search Tags:Hyperspectral thermal infrared, SO2, Clutter matched filtering(CMF), BCI assisted luminescent data index(BANI), Urbanization, OMI
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