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Effect of Urbanization on surface urban heat island(SUHI)in North District of Hong Kong, using remote sensing techniques : 香港北区城市化对地表城市热岛的影响,用遥感技术研究
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dc.contributor.advisorYoung-Sung LEE-
dc.contributor.authorZHANG-
dc.date.accessioned2023-11-20T04:55:21Z-
dc.date.available2023-11-20T04:55:21Z-
dc.date.issued2023-
dc.identifier.other000000179325-
dc.identifier.urihttps://hdl.handle.net/10371/197481-
dc.identifier.urihttps://dcollection.snu.ac.kr/common/orgView/000000179325ko_KR
dc.description학위논문(석사) -- 서울대학교대학원 : 환경대학원 환경계획학과, 2023. 8. Young-Sung LEE.-
dc.description.abstractThere is direct relationship between urbanization and Land use and cover (LULC) change, there is also relationship between the land surface temperature (LST) and Albedo, Albedo and LST can be influenced by urbanization at the same time. In this study, i try to explore the impact of urbanization on surface urban heat island (SUHI). There are no researches studied by remote sensing method in North District of Hong Kong. In this study, i have classified the LULC in North District of Hong Kong, then, LST has been analyzed by using Landsat (TM/OLI) images. The inversion LST was obtained in this study's usage of the maximum likelihood classifier approach (supervised classification) to categorize pictures. There are so many methods to define urban area and non-urban area, simplified urban extend (SUE) method is used to distinguish urban area and non-urban area and then calculate the surface urban heat island (SUHI) in North District of Hong Kong, the correlation between urban heat island effect and urban green space and building land can provide important information for our urban development and environmental protection. To study the influence of urban green space and building land on urban heat island effect, I also analyzed the correlation between land surface temperature and Albedo, and the relationship between LST and NDVI, NDBI shows the influence of vegetation area on UHI is negative. Then the positive correlation between urban building land and surface temperature distribution is that urban building land has positive influence on UHI, it also shows building area can enhance urban heat island effect. The results of LULC revealed that According to the classification results, from 1987 to 2004, 71.157% of forest area remained unchanged, 26.903% of forest were changed into urban area, 9.529% of barren area were changed into urban area.From 2004 to 2021, 71.157% of forest area remained unchanged, 26.903% of forest area
were changed into urban area, 9.529% of barren area were changed into urban area. From 1987 to 2021, 42.654% of forest area changed into other land area, urban area continued to increase from 1987 to 2021
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dc.description.tableofcontentsCHAPTER Ⅰ. INTRODUCTION 6
1.Research Objectives and Significance of Study 6
2. The influencing factors of Urban Heat Island 9
3. Research range 10
4. Problems among studies 13
CHAPTER Ⅱ. LITERATURE REVIEW 14
1. Urban heat island (UHI) and urban heat intensity (UHII) 15
2. The research methods of urban heat island and progress 17
3. Surface meteorological data observation between urban area and suburb area 16
3.1. Boundary layer numerical model simulation 17
3.2. Remote sensing monitoring 18
3.3. Temperature-Based Heat Island remote sensing Monitoring Method 21
3.3.1. A Method of Heat Island remote sensing Monitoring Based on Vegetation Index (NDVI) 22
3.3.2. A Method of Heat Island remote sensing Monitoring Based on "Heat Landscape." 23
4. Research urban heat island by remote sensing inversion 23
4.1. Radiation transfer equation method 24
4.2. Mono-window algorithm 25
4.3. Split-window algorithm 26
5. The effect of urbanization on urban heat island by remote sensing 27
CHAPTER Ⅲ. RESEARCH METHODOLOGY 28
1. Research Contents and Technical Route 28
1.1. Research Contents 28
1.2. Technical Route 29
1.2.1. Access to remote sensing data 30
1.2.2. Remote sensing data preprocessing 30
(1) Geometric correction 31
(2) Atmospheric correction 31
(3) Radiometric calibration 32
(4) Study area image clip 32

2. Supervised Classification 34
2.1 Accuracy Assessment 34
2.2 land surface temperature (LST) 34
3. Correlation between LST and EDVI, NDBI 36
4. UHII 37
CHAPTER Ⅳ. OUTCOME 39
1. Separability 41
2. Accuracy 41
3. Land use and land cover (LULC) classification result 42
4. Calculation of NDVI and FVC through ENVI 5.3 43
5. Correlation analysis between UHI and NDVI and NDBI 45
6. Relationship between LST and LULC 46
7. The Albedo and LST 50
8. Analysis of Albedo and LST in significant sub-areas 52
9. The distribution of SUHI in the North District of Hong Kong 53
10. the development of urbanization and urban heat island in the North District of Hong Kong 53
CHAPTER Ⅴ. CONCLUSION 55
Main innovations and limitations in this study 57
Research prospect of urban heat island in Hong Kong region 58
REFERENCE 59
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dc.format.extent67-
dc.language.isoeng-
dc.publisher서울대학교 대학원-
dc.subjectUrbanization-
dc.subjectAlbedo-
dc.subjectSurface urban heat island (SUHI)-
dc.subjectLand surface temperature (LST)-
dc.subject.ddc711-
dc.titleEffect of Urbanization on surface urban heat island(SUHI)in North District of Hong Kong, using remote sensing techniques-
dc.title.alternative香港北区城市化对地表城市热岛的影响,用遥感技术研究-
dc.typeThesis-
dc.typeDissertation-
dc.contributor.AlternativeAuthorHENG ZHANG-
dc.contributor.department환경대학원 환경계획학과-
dc.description.degree석사-
dc.date.awarded2023-08-
dc.title.subtitle/-
dc.contributor.major도시 및 지역게획학-
dc.identifier.uciI804:11032-000000179325-
dc.identifier.holdings000000000050▲000000000058▲000000179325▲-
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