Cargando…

Detecting and Modeling the Changes of Land Use and Land Cover for Land Use Planning in Da Nang City, Vietnam.

Da Nang City, located in the South Central Coast region of Vietnam, has developed in many aspects in the last two decades and has been known as one of the five independent municipalities of Vietnam. Today, it constitutes the Key Economic Zone in Central Vietnam. Rapid industrialization and urbanizat...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Nguyen, Hoang Khanh Linh
Formato: Electrónico eBook
Idioma:Inglés
Publicado: La Vergne : Ibidem Press, 2018.
Temas:
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Intro; Dedication; Acknowledgment; Preface; Abstract; Zusammenfassung; Table of contents; Abbreviations; List of Tables; List of Figures; Chapter 1 Introduction; 1.1 Study background; 1.2 Statement of the problem; 1.3 Research objectives; 1.3.1 General objectives; 1.3.2 Specific objectives; 1.4 Outline of thesis; Chapter 2 Theoretical Background; Abstract; 2.1 Land use and land cover; 2.1.1 Definition and clarifications; 2.1.2 LULC change; 2.1.3 LULC change causes and consequences; 2.1.4 Driving factors of LULC change; 2.2 Combination of remote sensing and geographic information systems.
  • 2.3 Definition of landscape metric2.4 Model and modeling; 2.4.1 Definition; 2.4.2 Kinds of models; 2.4.3 LULC modeling; Chapter 3 Study Area; 3.1 Natural conditions; 3.1.1 Location and area; 3.1.2 Topography; 3.1.3 Meteorological conditions; 3.1.4 Hydrologic conditions; 3.1.5 Natural resources; 3.1.5.1 Soil resources; 3.1.5.2 Water resources; 3.1.5.3 Forestry and floristic cover resources; 3.1.5.4 Sea and coastal region resources; 3.1.5.5 Mineral resources; 3.2 Social and economic conditions; 3.2.1 Economic development; 3.2.2 Economic structure; 3.2.3 The situation of economic sectors.
  • 3.2.3.1 Agriculture, forestry, and fishery sector3.2.3.2 Construction and industry sector; 3.2.3.3 Services sector; 3.2.4 Population, labor, employment, and income; 3.2.4.1 Population; 3.2.4.2 Labor and employment; 3.2.4.3 Income and life; 3.2.5 The situation of infrastructure; 3.2.5.1 Transport; 3.2.5.2 Irrigation; 3.2.5.3 Education and training; 3.2.5.4 Health and medicaments; 3.2.5.5 Electricity; 3.2.5.6 Telecommunication; 3.3 General assessment of natural, socioeconomic condition; Chapter 4 Data and Methodology; Abstract; 4.1 Sensor systems; 4.2 Data collection; 4.3 Image preprocessing.
  • 4.3.1 Geometric correction4.3.2 Radiometric normalization; 4.4 Image classification and accuracy assessment; 4.4.1 Image classification; 4.4.2 Accuracy assessment; 4.5 Change detection; 4.6 Landscape metrics; 4.7 Modeling LULC change; 4.7.1 Nonspatial model; 4.7.1.1 Conceptual model; 4.7.1.2 SD model setting; 4.7.1.3 SD model calibration and validation; 4.7.2 Spatial model; 4.7.2.1 Dyna-CLUE model structure; 4.7.2.2 Dyna-CLUE model setting; 4.7.3 Accuracy assessment of model; 4.7.3.1 Relative operating characteristic; 4.7.3.2 Visual comparison; 4.7.3.3 Model output validation.
  • 4.8 ANOVA analysis for landscape metrics under scenariosChapter 5 Land-Use/Cover Changes; Abstract; 5.1 Spatial-temporal dynamics and evolution of LULC changes; 5.1.1 Urban; 5.1.2 Agriculture; 5.1.3 Forest; 5.1.4 Shrub; 5.1.5 Barren; 5.1.6 Water; 5.2 Landscape pattern analysis at class level; 5.3 Discussions and conclusions; Chapter 6 Modeling Land Use/Cover Changes; Abstract; 6.1 Demands of land-use/cover types; 6.1.1 Demands of land-use/cover types from 1996 to 2009; 6.1.2 Demands of land-use/cover types from 2009 to 2030; 6.1.2.1 Scenario A; 6.1.2.2 Scenario B; 6.1.2.3 Scenario C.