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Detecting and Modeling the Changes of Land Use and Land Cover for Land Use Planning in Da Nang City, Vietnam New edition [Minkštas viršelis]

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Detecting and Modeling the Changes of Land Use and Land Cover for Land Use Planning in Da Nang City, Vietnam New editionDidesnis paveikslėlis
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Pastovi nuoroda: https://www.kriso.lt/db/9783838211367.html
Raktažodžiai:
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 urbanization have caused incessant change of land use and land cover (LULC) in Da Nang City. Linh Nguyen's study aims at detecting, quantifying, and characterizing the changes of LULC in the Da Nang City region by using multitemporal satellite images from 1979 to 2009; it further explores the effects of LULC changes on landscape structure through spatial landscape metrics. In a simulation it also shows the changes of LULC under different scenarios, utilizing the model of system dynamics and the model of dynamic conversion of land use and its effects.

The results show that 37% of the total land has undergone change. Before being separated from Quang Nam Province (1979–1996), the LULC in Da Nang City changed gradually. However, after becoming an independent municipality, the LULC changed with accelerated speed, especially in the urban areas. Within 13 years (1996–2009), the urban area grew by 86.6%. The study suggests this is caused by a strong focus on economic development. Conversely, agriculture and forests had a high rate of change. The dynamic change of landscape indices reveal that agricultural areas were broken into smaller patches. However, except agriculture, patches of forestry and urban spaces tended to have a uniform landscape configuration. To simulate the future changes of LULC at Da Nang City from 2009 to 2030, three scenarios with different missions were developed, namely, Development as Usual, Aggressive Development, and Optimal Development. All scenarios result in a continuous increase in urban area and a gradual decrease in agriculture, barren, and shrub areas during the simulated period. The study provides new strategies for land use planning in comparable regions facing rapid urbanization.
Acknowledgment vii
Preface ix
Abstract xi
Zusammenfassung xiii
Abbreviations xix
List of Tables
xxi
List of Figures
xxiii
Chapter 1 Introduction
1(6)
1.1 Study background
1(2)
1.2 Statement of the problem
3(2)
1.3 Research objectives
5(1)
1.3.1 General objectives
5(1)
1.3.2 Specific objectives
5(1)
1.4 Outline of thesis
6(1)
Chapter 2 Theoretical Background
7(12)
Abstract
7(1)
2.1 Land use and land cover
7(3)
2.1.1 Definition and clarifications
7(1)
2.1.2 LULC change
8(1)
2.1.3 LULC change causes and consequences
9(1)
2.1.4 Driving factors of LULC change
9(1)
2.2 Combination of remote sensing and geographic information systems
10(1)
2.3 Definition of landscape metric
11(2)
2.4 Model and modeling
13(6)
2.4.1 Definition
13(1)
2.4.2 Kinds of models
13(1)
2.4.3 LULC modeling
14(5)
Chapter 3 Study Area
19(24)
3.1 Natural conditions
19(9)
3.1.1 Location and area
19(2)
3.1.2 Topography
21(1)
3.1.3 Meteorological conditions
22(1)
3.1.4 Hydrologic conditions
23(1)
3.1.5 Natural resources
24(4)
3.2 Social and economic conditions
28(12)
3.2.1 Economic development
28(2)
3.2.2 Economic structure
30(1)
3.2.3 The situation of economic sectors
31(1)
3.2.4 Population, labor, employment, and income
32(3)
3.2.5 The situation of infrastructure
35(5)
3.3 General assessment of natural, socioeconomic condition
40(3)
Chapter 4 Data and Methodology
43(50)
Abstract
43(1)
4.1 Sensor systems
43(3)
4.2 Data collection
46(7)
4.3 Image preprocessing
53(2)
4.3.1 Geometric correction
53(1)
4.3.2 Radiometric normalization
53(2)
4.4 Image classification and accuracy assessment
55(6)
4.4.1 Image classification
55(2)
4.4.2 Accuracy assessment
57(4)
4.5 Change detection
61(1)
4.6 Landscape metrics
61(4)
4.7 Modeling LULC change
65(25)
4.7.1 Nonspatial model
67(11)
4.7.2 Spatial model
78(6)
4.7.3 Accuracy assessment of model
84(6)
4.8 ANOVA analysis for landscape metrics under scenarios
90(3)
Chapter 5 Land-Use/Cover Changes
93(20)
Abstract
93(1)
5.1 Spatial-temporal dynamics and evolution of LULC changes
93(15)
5.1.1 Urban
99(4)
5.1.2 Agriculture
103(2)
5.1.3 Forest
105(1)
5.1.4 Shrub
106(1)
5.1.5 Barren
106(1)
5.1.6 Water
107(1)
5.2 Landscape pattern analysis at class level
108(2)
5.3 Discussions and conclusions
110(3)
Chapter 6 Modeling Land Use/Cover Changes
113(46)
Abstract
113(1)
6.1 Demands of land-use/cover types
113(6)
6.1.1 Demands of land-use/cover types from 1996 to 2009
113(3)
6.1.2 Demands of land-use/cover types from 2009 to 2030
116(3)
6.2 Driving factors for allocation
119(5)
6.3 Logistic regression analysis
124(3)
6.4 Elasticity coefficients
127(1)
6.5 Conversion matrix
128(1)
6.6 Validation output from the Dyna-CLUE model
128(3)
6.6.1 Visual comparison
128(2)
6.6.2 Agreement components
130(1)
6.7 Analysis of the changes of scenarios
131(10)
6.7.1 LULC changes under different scenarios
131(7)
6.7.2 LULC changes according to administration boundary
138(3)
6.8 Landscape structure of scenarios
141(15)
6.8.1 At landscape level
141(3)
6.8.2 At class level
144(10)
6.8.3 Effects of land-use scenarios to landscape structure
154(2)
6.9 Discussions and conclusions
156(3)
6.9.1 Discussions
156(1)
6.9.2 Conclusions
157(2)
Chapter 7 Conclusions
159(26)
Abstract
159(1)
7.1 General conclusions
159(4)
7.2 Future works
163(22)
References
165(20)
Appendices
185
Appendix 1 Accuracy assessment error matrices
185(16)
LULC 1979
185(4)
LULC 1996
189(4)
LULC 2003
193(4)
LULC 2009
197(4)
Appendix 2 Scenarios of land-use/cover types from 1996 to 2030
201(4)
Appendix 3 Logistic regression of land-use/cover types
205(3)
Appendix 4 Area under the curve of land-use/cover types
208(3)
Appendix 5 Main parameters of Dyna-CLUE model
211(2)
Appendix 6 Main results obtained with ANOVA
213