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Land use/Land Cover Classification and Change Detection in Shanghai Pudong New Area Using Landsat TM Data

英文摘要第3页
Chapter 1: Introduction第7-12页
    1. The importance of land use determination第7-8页
    2. The Importance of Remote Sensing for Land use/Land cover第8-12页
        2.1. Brief introduction to remote sensing第8-10页
        2.2. Role of remote sensing data in development第10-12页
Chapter 2: Land Use/Land Cover Classification第12-27页
    1. Land use/land cover classification systems第12-14页
    2. Conventional land use classification methods第14页
    3. Classification of land use based on satellite data第14-23页
        3.1. Satellite data第14-16页
        3.2. Computer-assisted classification第16-23页
            3.2.1. Unsupervised Classification Method第16页
            3.2.2. Supervised Classification Method第16-23页
    4. Accuracy Assessment第23-27页
Chapter 3: Land use/Land cover change detection第27-33页
Chapter 4: Study Area第33-44页
    1. General Background of Shanghai第33-37页
        1.1 Location, Area and Population第33页
        1.2. Climate第33-34页
        1.3. Industry and Agriculture第34页
        1.4. Commerce and Finance第34-35页
        1.5. Science and technology, Culture and Education第35页
        1.6. Foreign Trade and absorption of Foreign Capital第35-36页
        1.7. Transportation and Post & Telecommunication第36-37页
    2. The Present Situation of Shanghai Pudong New Area第37-40页
    3. Broad Outline of Overall Plan of Shanghai Pudong Area第40-42页
    4. Division of the Land Grades第42-44页
Chapter 5: Methods第44-58页
    1. Data第44页
    2. Image processing第44-46页
        2.1. Image Enhancement第44-46页
        2.2. False Color Composite第46页
    3. Image classification第46-55页
        3.1. Information classes第46-47页
        3.2. Training sample第47-53页
            3.2.1 Select Training Sample Using IDRISI第49页
            3.2.2. Select training regions using ER Mapper第49-50页
            3.2.3 Purification of training samples第50-53页
        3.3. Classification第53-55页
            3.3.1. Classification using IDRISI第53页
            3.3.2. Classification using ER Mapper:第53-55页
    4. Classification accuracy第55-56页
    5. Change detection第56-58页
Chapter 6: Results第58-79页
    1. Image Classification Using IDRISI第58-68页
    2. Classification Using ER Mapper第68-71页
    3. Classification Accuracy第71-73页
        3.1. Classification Accuracy (IDRISI)第72页
        3.2. Classification Accuracy (ER Mapper)第72-73页
    4. Change detection第73-79页
Chapter 7: Discussion第79-83页
References第83-90页
Acknowledgments第90页

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