孟加拉国东南部地区土地利用和覆盖变化的监测和模拟

发布时间：2020-12-03 04:56

　　土地利用和土地覆盖（LULC）对于更好地了解人类与环境相互作用、增加对气候和环境系统相互影响的理解十分重要,使实现合理的环境管理措施成为可能。LULC是动态变化的,它的变化具有重要的环境和社会经济影响。气候变化及其多方面的、多尺度的影响带来了巨大的挑战。本文将多种驱动因素考虑在内,对孟加拉国东南部地区的土地利用时空格局、动态变化进行了系统的监测,对未来的情形进行了模拟。因此,该研究重点突出四个相互关联的科学问题:1)比较多种土地覆盖产品并识别不一致水平较低产品;2)评估土地利用/覆盖变化（LUCC）的当前趋势;3)外部变量对地表动态影响的地理空间关系;4)在可持续的土地管理和规划背景下,对未来土地利用进行多情景模拟和预测。高质量的土地覆盖产品对于监测和分析LUCC以及全球环境变化研究具有重要意义。因此,本研究主要利用IGBP-17、IGBP-9、IPCC-5和TC（植被、湿地和其他地类）的通用分类系统,对四种土地覆盖产品中面积和空间不一致性进行了分析,将高时间分辨率和多种方式验证的MODISLC、GlobeLand30、FROM-GLC和Landsat TM/ETM+等产品作为研究数据... 

【文章来源】：西南大学重庆市 211工程院校 教育部直属院校

【文章页数】：182 页

【学位级别】：博士

【文章目录】：
Acknowledgement
Abstract
摘要
Chapter 1: Introduction
    1.1 Background and Significance of the Research
        1.1.1 Background
        1.1.2 Significance of the Research
    1.2 Literature Review
        1.2.1 Global Land Cover products and validations
        1.2.2 Inconsistency and uncertainty assessment for global land cover products
        1.2.3 Land Use and Land Cover Change
        1.2.4 Driving Forces in LUCC
        1.2.5 Land use changes scenario simulation and prediction modeling
        1.2.6 Review summary and implications
    1.3 Summary of Research
    1.4 Scientific Issues
    1.5 Research Objectives and Content
        1.5.1 Aim and Objectives
        1.5.2 Content of the Thesis
    1.6 Technical Route
Chapter 2: Methodologies
    2.1 Study area
    2.2 Datasets and Preprocessing
        2.2.1 Global land cover products
        2.2.2 LST and NDVI data
        2.2.3 Land cover and driving factor data in scenario simulation and prediction
    2.3 Model, Analysis, and Statistics
        2.3.1 Assessing inconsistency in global land cover products
        2.3.2 LST effects on vegetation dynamics
        2.3.3 Scenario simulation and prediction of spatial dynamics of land use changes
        2.3.4 Accuracy assessment
Chapter 3: Assessing Inconsistency in Global Land Cover Products and Synthesis of Studies on LandUse and Land Cover Dynamics
    3.1 Introduction
    3.2 Research design
    3.3 Results
        3.3.1 Areal inconsistency
        3.3.2 Spatial inconsistencies
        3.3.3 Land Use Classification
        3.3.4 Composition, Distribution and Changes of Major LULC Classes
    3.4 Discussion
        3.4.1 Pattern of inconsistencies in different land cover mapping
        3.4.2 Impacts of major LUCC Classes
    3.5 Conclusion
Chapter 4: Geospatial Monitoring of Land Surface Temperature Effects on Vegetation Dynamics
    4.1 Introduction
    4.2 Research Design
    4.3 Results
        4.3.1 Variation Trends of LST and SINDVI
        4.3.2 Interannual Variability
        4.3.3 Correlation with LST and SINDVI
        4.3.4 Correlation with LST and LUCC
    4.4 Discussion
        4.4.1 Significant Areas of Extreme Impact
        4.4.2 Geospatial Relation Anomalies
        4.4.3 Limitations and future research in LST and SINDVI relations
    4.5 Conclusions
Chapter 5: Scenario Simulation and Prediction of the Spatial Dynamics of Land Use Changesmodeling through CLUE-S
    5.1 Introduction
    5.2 Results
        5.2.1 Simulation Accuracy
        5.2.2 Prediction of land use and land cover in 2025
        5.2.3 Comparison of land use changes under different development modes
    5.3 Discussion
    5.4 Conclusion
Chapter 6: Summary, Innovations, and Conclusion
    6.1 Summary and Innovations
    6.2 Conclusion
    6.3 Insufficient and Prospects
References
Publications



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