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孟加拉國(guó)東南部地區(qū)土地利用和覆蓋變化的監(jiān)測(cè)和模擬

發(fā)布時(shí)間:2020-12-03 04:56
  土地利用和土地覆蓋(LULC)對(duì)于更好地了解人類與環(huán)境相互作用、增加對(duì)氣候和環(huán)境系統(tǒng)相互影響的理解十分重要,使實(shí)現(xiàn)合理的環(huán)境管理措施成為可能。LULC是動(dòng)態(tài)變化的,它的變化具有重要的環(huán)境和社會(huì)經(jīng)濟(jì)影響。氣候變化及其多方面的、多尺度的影響帶來(lái)了巨大的挑戰(zhàn)。本文將多種驅(qū)動(dòng)因素考慮在內(nèi),對(duì)孟加拉國(guó)東南部地區(qū)的土地利用時(shí)空格局、動(dòng)態(tài)變化進(jìn)行了系統(tǒng)的監(jiān)測(cè),對(duì)未來(lái)的情形進(jìn)行了模擬。因此,該研究重點(diǎn)突出四個(gè)相互關(guān)聯(lián)的科學(xué)問(wèn)題:1)比較多種土地覆蓋產(chǎn)品并識(shí)別不一致水平較低產(chǎn)品;2)評(píng)估土地利用/覆蓋變化(LUCC)的當(dāng)前趨勢(shì);3)外部變量對(duì)地表動(dòng)態(tài)影響的地理空間關(guān)系;4)在可持續(xù)的土地管理和規(guī)劃背景下,對(duì)未來(lái)土地利用進(jìn)行多情景模擬和預(yù)測(cè)。高質(zhì)量的土地覆蓋產(chǎn)品對(duì)于監(jiān)測(cè)和分析LUCC以及全球環(huán)境變化研究具有重要意義。因此,本研究主要利用IGBP-17、IGBP-9、IPCC-5和TC(植被、濕地和其他地類)的通用分類系統(tǒng),對(duì)四種土地覆蓋產(chǎn)品中面積和空間不一致性進(jìn)行了分析,將高時(shí)間分辨率和多種方式驗(yàn)證的MODISLC、GlobeLand30、FROM-GLC和Landsat TM/ETM+等產(chǎn)品作為研究數(shù)據(jù)... 

【文章來(lái)源】:西南大學(xué)重慶市 211工程院校 教育部直屬院校

【文章頁(yè)數(shù)】:182 頁(yè)

【學(xué)位級(jí)別】:博士

【文章目錄】:
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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