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Study on Urban Greenblet Landscape Based on Remote Sensing and GIS

Author: XuTao
Tutor: ZhouTingGang
School: Southwestern University
Course: Cartography and Geographic Information Systems
Keywords: QuickBird data Image Segmentation Object-oriented Ecological landscape analysis
CLC: TP751
Type: Master's thesis
Year: 2010
Downloads: 243
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Abstract


With the development of remote sensing technology , high - resolution remote sensing images are widely used in urban studies . Due to its own merits , the high - resolution remote sensing images provide an important source of information for the study of the urban environment . Using high-resolution remote sensing image for urban vegetation type , distribution and structure , the objective of the present basis to improve the quality of the urban environment , optimize the layout of vegetation , improvement of urban green space system planning for the city's future green construction and the overall planning has important significance. Beibei District of Chongqing as an example , the application of high spatial resolution QuickBird images , the use of object-oriented interpretation of remote sensing methods to classify urban surface features extract vegetation information . Interpret mode based on high spatial resolution satellite imagery of urban green space to improve the accuracy of urban vegetation classification and quantitative analysis of the number of urban vegetation , evaluation and analysis of urban vegetation , to provide an objective basis for decision-making departments of urban green space planning . The main research content and research results are as follows : ( 1 ) image pre-processing : analysis by quantitative relationship between the band , band selection ; geometric correction ; pixel -level images of high spatial resolution panchromatic and multispectral bands fusion. ( 2 ) the use of the object-oriented approach to the interpretation of remote sensing : using multiscale segmentation for image segmentation ; build the knowledge base of the interpreted surface features ; extract the information of features . ( 3 ) the use of traditional methods of classification ( supervised classification and unsupervised classification ) to interpret , and evaluate the traditional interpretation and object - oriented Interpreting differences through a variety of evaluation . (4) in support of remote sensing and GIS , using the principles of landscape ecology , combined with a variety of green space evaluation Beibei District, vegetation ecological assessment and landscape analysis , Beibei District, greening the status quo explore Beibei District, urban green space planning and layout and make reasonable recommendations.

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CLC: > Industrial Technology > Automation technology,computer technology > Remote sensing technology > Interpretation, identification and processing of remote sensing images > Image processing methods
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