請用此 Handle URI 來引用此文件：
http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/99020完整後設資料紀錄
| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 石婉瑜 | zh_TW |
| dc.contributor.advisor | Wan-Yu Shih | en |
| dc.contributor.author | 卡吾妲 | zh_TW |
| dc.contributor.author | Undrakh Ganzorig | en |
| dc.date.accessioned | 2025-08-21T16:04:37Z | - |
| dc.date.available | 2025-08-22 | - |
| dc.date.copyright | 2025-08-19 | - |
| dc.date.issued | 2025 | - |
| dc.date.submitted | 2025-08-12 | - |
| dc.identifier.citation | Abdulmana, S., Lim, A., Wongsai, S., & Wongsai, N. (2021). Land surface temperature and vegetation cover changes and their relationships in Taiwan from 2000 to 2020. Remote Sensing Applications: Society and Environment, 24, 100636. https://doi.org/10.1016/j.rsase.2021.100636
Alijani, S., Pourahmad, A., Nejad, H. H., Ziari, K., & Sodoudi, S. (2020). A new approach of urban livability in Tehran: Thermal comfort as a primitive indicator. Case study, district 22. Urban Climate, 33, 100656. https://doi.org/10.1016/j.uclim.2020.100656 Breiman, L. (2001). Random forests. Machine learning, 45, 5-32. https://doi.org/10.1023/A:1010933404324 Budd, G. M. (2008). Wet-bulb globe temperature (WBGT)—its history and its limitations. Journal of science and medicine in sport, 11(1), 20-32. https://doi.org/10.1016/j.jsams.2007.07.003 Chang, C. R., Li, M. H., & Chang, S. D. (2007). A preliminary study on the local cool-island intensity of Taipei city parks. Landscape and urban planning, 80(4), 386-395. https://doi.org/10.1016/j.landurbplan.2006.09.005 Chang, M. E., Zhao, Z. Q., & Chang, H. T. (2021). Relationship among fractional vegetation cover, land use and urban heat island using Landsat 8 in Taipei, Taiwan. Human-Centered Urban Planning and Design in China: Volume I: Urban and Rural Planning, 81-95. https://doi.org/10.1007/978-3-030-83856-0_5 Chen, H., Ooka, R., Huang, H., & Tsuchiya, T. (2009). Study on mitigation measures for outdoor thermal environment on present urban blocks in Tokyo using coupled simulation. Building and Environment, 44(11), 2290-2299. https://doi.org/10.1016/j.buildenv.2009.03.012 Chen, T. L., & Lin, Z. H. (2021). Impact of land use types on the spatial heterogeneity of extreme heat environments in a metropolitan area. Sustainable Cities and Society, 72, 103005. https://doi.org/10.1016/j.scs.2021.103005 Chen, T., Ren, Z., Fu, Y., & Liu, C. (2024). Correlation analysis of landscape patterns and urban thermal environment in Kunming based on a panel data model. Scientific Reports, 14(1), 27375. https://doi.org/10.1038/s41598-024-78118-7 Chen, Y. C., Chiu, H. W., Su, Y. F., Wu, Y. C., & Cheng, K. S. (2017). Does urbanization increase diurnal land surface temperature variation? Evidence and implications. Landscape and Urban Planning, 157, 247-258. https://doi.org/10.1016/j.landurbplan.2016.06.014 Chen, Y. C., Liao, Y. J., Yao, C. K., Honjo, T., Wang, C. K., & Lin, T. P. (2019). The application of a high-density street-level air temperature observation network (HiSAN): The relationship between air temperature, urban development, and geographic features. Science of the Total Environment, 685, 710-722. https://doi.org/10.1016/j.scitotenv.2019.06.066 Chen, Y. C., Lo, T. W., Shih, W. Y., & Lin, T. P. (2019). Interpreting air temperature generated from urban climatic map by urban morphology in Taipei. Theoretical and Applied Climatology, 137, 2657-2662. https://doi.org/10.1007/s00704-018-02764-x Chen, YY., Huang, W., Wang, WH. et al. Reconstructing Taiwan’s land cover changes between 1904 and 2015 from historical maps and satellite images. Sci Rep 9, 3643 (2019). https://doi.org/10.1038/s41598-019-40063-1 Chow, W. T. L., & Svoma, B. M. (2011). Analyses of Nocturnal Temperature Cooling-Rate Response to Historical Local-Scale Urban Land-Use/Land Cover Change. Journal of Applied Meteorology and Climatology, 50(9), 1872-1883. https://doi.org/10.1175/JAMC-D-10-05014.1 Chueh, T.-W., Shih, Y.-M., Lee, H.-C., Tu, P.-A., & Chen, C.-J. [闕帝旺、 施意敏、 李欣輯、凃柏安、陳家頡]. (2024). Discussion on the application of climate change data in the livestock. Taiwan Climate Change Projection and Information Platform (TCCIP). https://tccip.ncdr.nat.gov.tw/km_publish_technical_report_one.aspx?tr_id=20240314163230 Connors, J. P., Galletti, C. S., & Chow, W. T. (2013). Landscape configuration and urban heat island effects: assessing the relationship between landscape characteristics and land surface temperature in Phoenix, Arizona. Landscape ecology, 28, 271-283. https://doi.org/10.1007/s10980-012-9833-1 Crum, S. M., Shiflett, S. A., & Jenerette, G. D. (2017). The influence of vegetation, mesoclimate and meteorology on urban atmospheric microclimates across a coastal to desert climate gradient. Journal of Environmental Management, 200, 295–303. https://doi.org/10.1016/j.jenvman.2017.05.077 Crétat, J., Richard, Y., Pohl, B., & et al. (2024). Impact of topography and land cover on air temperature space-time variability in an urban environment with contrasted topography (Dijon, France, 2014–2021). Theoretical and Applied Climatology, 155, 1941–1958. https://doi.org/10.1007/s00704-023-04742-4 Cui, L., & Shi, J. (2012). Urbanization and its environmental effects in Shanghai, China. Urban Climate, 2, 1-15. https://doi.org/10.1016/j.uclim.2012.10.008 Cuxart, J., Jiménez, M. A., Telišman Prtenjak, M., & Grisogono, B. (2014). Study of a sea-breeze case through momentum, temperature, and turbulence budgets. Journal of Applied Meteorology and Climatology, 53(11), 2589-2609. https://doi.org/10.1175/JAMC-D-14-0007.1 CWA. (n.d.). Heat Information. Retrieved August 28, 2024, from https://www.cwa.gov.tw/V8/assets/pdf/HeatInformation_ProductDescription_En.pdf CWA. (n.d.). Shezih Station (ID: C0A980). Retrieved August 28, 2024, from https://codis.cwa.gov.tw/StationData?target=station CWA. (n.d.). Taipei Station (ID: 466920). Retrieved August 28, 2024, from https://codis.cwa.gov.tw/StationData?target=station Ebi, K. L., Capon, A., Berry, P., Broderick, C., de Dear, R., Havenith, G., ... & Jay, O. (2021). Hot weather and heat extremes: health risks. The Lancet, 398(10301), 698-708. https://doi.org/10.1016/S0140-6736(21)01208-3 Fan, L., Chen, G., Yu, F., Liu, Y., & Li, L. (2017). A correction method for UAV helicopter airborne temperature and humidity sensor. Mathematical Problems in Engineering, 2017(1), 9289061. https://doi.org/10.1155/2017/9289061 Fajary, F. R., Lee, H. S., Kubota, T., Bhanage, V., Pradana, R. P., Nimiya, H., & Putra, I. D. G. A. (2024). Comprehensive spatiotemporal evaluation of urban growth, surface urban heat island, and urban thermal conditions on Java island of Indonesia and implications for urban planning. Heliyon, 10(13). https://doi.org/10.1016/j.heliyon.2024.e33708 Feddema, J. J., Oleson, K. W., Bonan, G. B., Mearns, L. O., Buja, L. E., Meehl, G. A., & Washington, W. M. (2005). The importance of land-cover change in simulating future climates. Science, 310(5754), 1674-1678. https://doi.org/10.1126/science.1118160 Fenner, D., Meier, F., Scherer, D., & Polze, A. (2014). Spatial and temporal air temperature variability in Berlin, Germany, during the years 2001–2010. Urban Climate, 10, 308-331. https://doi.org/10.1016/j.uclim.2014.02.004 Fujibe, F. (2011). Urban warming in Japanese cities and its relation to climate change monitoring. Int. J. Climatol, 31(2), 162-173. https://doi.org/10.1002/joc.2142 Gasparrini, A., Guo, Y., Hashizume, M., Lavigne, E., Zanobetti, A., Schwartz, J., et al. (2015). Mortality risk attributable to high and low ambient temperature: A multicountry observational study. Lancet London England, 386(9991), 369–375. https://doi.org/10.1016/S0140-6736(14)62114-0 Guan, H., Kumar, V., Clay, R., Kent, C., Bennett, J., Ewenz, C., ... & Simmons, C. T. (2016). Temporal and spatial patterns of air temperature in a coastal city with a slope base setting. Journal of Geophysical Research: Atmospheres, 121(10), 5336-5355. https://doi.org/10.1002/2016JD025139 He, C., Kim, H., Hashizume, M., Lee, W., Honda, Y., Kim, S. E., ... & Kan, H. (2022). The effects of night-time warming on mortality burden under future climate change scenarios: a modelling study. The Lancet Planetary Health, 6(8), e648-e657. https://doi.org/10.1016/S2542-5196(22)00139-5 Huang, K., Lee, X., Stone Jr., B., Knievel, J., Bell, M. L., & Seto, K. C. (2021). Persistent increases in nighttime heat stress from urban expansion despite heat island mitigation. Journal of Geophysical Research: Atmospheres, 126, e2020JD033831. https://doi.org/10.1029/2020JD033831 Huang, L., Li, J., Zhao, D., & Zhu, J. (2008). A fieldwork study on the diurnal changes of urban microclimate in four types of ground cover and urban heat island of Nanjing, China. Building and Environment, 43(1), 7–17. https://doi.org/10.1016/j.buildenv.2006.11.025 Huang, S. L., Wang, S. H., & Budd, W. W. (2009). Sprawl in Taipei’s peri-urban zone: Responses to spatial planning and implications for adapting global environmental change. Landscape and urban planning, 90(1-2), 20-32. https://doi.org/10.1016/j.landurbplan.2008.10.010 Jabbar, H. K., Hamoodi, M. N., & Al-Hameedawi, A. N. (2023). Urban heat islands: a review of contributing factors, effects and data. In IOP Conference Series: Earth and Environmental Science (Vol. 1129, No. 1, p. 012038). IOP Publishing. http://doi.org/10.1088/1755-1315/1129/1/012038 Kalnay, E., & Cai, M. (2003). Impact of urbanization and land-use change on climate. Nature, 423(6939), 528-531. https://doi.org/10.1038/nature01675 Karl, T. R., Jones, P. D., Knight, R. W., Kukla, G., Plummer, N., Razuvayev, V., ... & Peterson, T. C. (1993). A new perspective on recent global warming: asymmetric trends of daily maximum and minimum temperature. Bulletin of the American Meteorological Society, 74(6), 1007-1024. https://doi.org/10.1175/1520-0477(1993)074%3C1007:ANPORG%3E2.0.CO;2 Kong, F., Yin, H., James, P., Hutyra, L. R., & He, H. S. (2014). Effects of spatial pattern of greenspace on urban cooling in a large metropolitan area of eastern China. Landscape and urban planning, 128, 35-47. https://doi.org/10.1016/j.landurbplan.2014.04.018 Lai, L. W., & Cheng, W. L. (2009). Air quality influenced by urban heat island coupled with synoptic weather patterns. Science of the total environment, 407(8), 2724-2733. https://doi.org/10.1016/j.scitotenv.2008.12.002 Lai, Y.-L. (2024). Application of Taiwan ReAnalysis Downscaling data (TReAD) to analysis of prevailing winds and extreme winds [Master's thesis, National Taiwan University of Science and Technology]. NTUST Electronic Theses and Dissertations Service. https://etheses.lib.ntust.edu.tw/detail/db527244f60c4562dd0ab32ed18a59dc/ Lau, T. K., & Lin, T. P. (2024). Investigating the relationship between air temperature and the intensity of urban development using on-site measurement, satellite imagery and machine learning. Sustainable Cities and Society, 100, 104982. https://doi.org/10.1016/j.scs.2023.104982 Li, S.-F. (2024). Application of DSSAT to evaluate crop suitability under drought scenarios in Taiwan [應用DSSAT評估乾旱情境下臺灣農地之作物適栽區] [Master's thesis, National Taiwan University]. Airiti Library. https://doi.org/10.6342/NTU202401850 Li, Y., Schubert, S., Kropp, J. P., & Rybski, D. (2020). On the influence of density and morphology on the Urban Heat Island intensity. Nature communications, 11(1), 2647. https://doi.org/10.1038/s41467-020-16461-9 Lin, B.-Y., Cheng, C.-C., Chen, Y.-M., & Chien, Y.-T. [林秉毅、鄭兆尊、陳永明、簡毓瑭]. (2021). The 40-year Taiwan historical climate data (NCDR Report No. 109-T05). National Science and Technology Center for Disaster Reduction (NCDR). https://tccip.ncdr.nat.gov.tw/km_publish_technical_report_one.aspx?tr_id=20210825174251 Lin, C. Y., Chen, F., Huang, J. C., Chen, W. C., Liou, Y. A., Chen, W. N., & Liu, S. C. (2008). Urban heat island effect and its impact on boundary layer development and land–sea circulation over northern Taiwan. Atmospheric Environment, 42(22), 5635-5649. https://doi.org/10.1016/j.atmosenv.2008.03.015 Lin, T. P., Chen, Y. C., & Matzarakis, A. (2017). Urban thermal stress climatic mapping: Combination of long-term climate data and thermal stress risk evaluation. Sustainable cities and society, 34, 12-21. https://doi.org/10.1016/j.scs.2017.05.022 Murage, P., Hajat, S., & Kovats, R. S. (2017). Effect of night-time temperatures on cause and age-specific mortality in London. Environmental epidemiology (Philadelphia, Pa.), 1(2), e005. https://doi.org/10.1097/EE9.0000000000000005 Oke, T. R. (1982). The energetic basis of the urban heat island. Quarterly journal of the royal meteorological society, 108(455), 1-24. https://doi.org/10.1002/qj.49710845502 Oke, T. R. (1988). The urban energy balance. Progress in Physical Geography, 12(4), 471-508. https://doi.org/10.1177/030913338801200401 Ornelas, A., Cordeiro, A., & Lameiras, J. M. (2023). Thermal comfort assessment in urban green spaces: contribution of thermography to the study of thermal variation between tree canopies and air temperature. Land, 12(8), 1568. https://doi.org/10.3390/land12081568 Ou, H.-Y., Wang, L.-C., & Lin, T.-P. [歐星妤, 王柳臻, 林子平]. (2023). Application of climate information in local cooling policy: A case study of Taichung City urban heat island project [氣候資訊於地方降溫政策之應用—以臺中市都市熱島計畫為例]. TCCIP Newsletter. https://tccip.ncdr.nat.gov.tw/km_newsletter_one.aspx?nid=20231126123753 Ren, G., Zhou, Y., Chu, Z., Zhou, J., Zhang, A., Guo, J., & Liu, X. (2008). Urbanization effects on observed surface air temperature trends in North China. Journal of Climate, 21(6), 1333-1348. https://doi.org/10.1175/2007JCLI1348.1 Saeed, W., Haqiqi, I., Kong, Q., Huber, M., Buzan, J. R., Chonabayashi, S., et al. (2022). The poverty impacts of labor heat stress in West Africa under a warming climate. Earth's Future, 10(11), e2022EF002777. https://doi.org/10.1029/2022EF002777 Santamouris, M., & Kolokotsa, D. (2015). On the impact of urban overheating and extreme climatic conditions on housing, energy, comfort and environmental quality of vulnerable population in Europe. Energy and Buildings, 98, 125-133. https://doi.org/10.1016/j.enbuild.2014.08.050 Santamouris, M., Cartalis, C., Synnefa, A., & Kolokotsa, D. (2015). On the impact of urban heat island and global warming on the power demand and electricity consumption of buildings—A review. Energy and buildings, 98, 119-124. https://doi.org/10.1016/j.enbuild.2014.09.052 Shen, Z., Shi, J., Tan, J., & Yang, H. (2020). The migration of the warming center and urban heat island effect in Shanghai during urbanization. Frontiers in Earth Science, 8, 340. https://doi.org/10.3389/feart.2020.00340 Shiflett, S. A., Liang, L. L., Crum, S. M., Feyisa, G. L., Wang, J., & Jenerette, G. D. (2017). Variation in the urban vegetation, surface temperature, air temperature nexus. Science of the Total Environment, 579, 495-505. https://doi.org/10.1016/j.scitotenv.2016.11.069 Shih, W. Y., Ahmad, S., Chen, Y. C., Lin, T. P., & Mabon, L. (2020). Spatial relationship between land development pattern and intra-urban thermal variations in Taipei. Sustainable Cities and Society, 62, 102415. https://doi.org/10.1016/j.scs.2020.102415 Shih, W. Y., Lo, M. H., & Ganzorig, U. (2024). Downwind Warming of Cities? Inequal Heat Distribution Attributed to Winds. Sustainable Cities and Society, 117, 105879. https://doi.org/10.1016/j.scs.2024.105879 Shiu, C. J., Liu, S. C., & Chen, J. P. (2009). Diurnally asymmetric trends of temperature, humidity, and precipitation in Taiwan. Journal of climate, 22(21), 5635-5649. https://doi.org/10.1175/2009JCLI2514.1 Song, B., & Park, K. (2021). Temperature trend analysis associated with land-cover changes using time-series data (1980–2019) from 38 weather stations in South Korea. Sustainable Cities and Society, 65, 102615. https://doi.org/10.1016/j.scs.2020.102615 Taipei City Government. (2023). 全國首創中高齡者暨高齡者友善企業認證 蔣萬安：鼓勵更多企業進用再就業優秀人才. https://www.gov.taipei/News_Content.aspx?n=2044902FC839D045&sms=72544237BBE4C5F6&s=084BDE8BA825F528 Urban, M. C., Alberti, M., De Meester, L., Zhou, Y., Verrelli, B. C., Szulkin, M., ... & Brans, K. I. (2024). Interactions between climate change and urbanization will shape the future of biodiversity. Nature climate change, 14(5), 436-447. https://doi.org/10.1038/s41558-024-01996-2 Xi, H., Li, Y., & Hou, W. (2025). Impact of Environmental Factors on Summer Thermal Comfort of Ribbon Waterfront Park in Hot Summer and Cold Winter Regions: A Case Study of Hefei. Sustainability, 17(7), 3026. https://doi.org/10.3390/su17073026 Xu, R., Zhang, W., Wong, N. H., Tong, S., & Wu, X. (2022). A novel methodology to obtain ambient temperatures using multi-rotor UAV-mounted sensors. Urban Climate, 41, 101068. https://doi.org/10.1016/j.uclim.2021.101068 Yan, H., Fan, S., Guo, C., Wu, F., Zhang, N., & Dong, L. (2014). Assessing the effects of landscape design parameters on intra-urban air temperature variability: The case of Beijing, China. Building and environment, 76, 44-53. https://doi.org/10.1016/j.buildenv.2014.03.007 | - |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/99020 | - |
| dc.description.abstract | 過去三十年來，臺北都會區北部的都市發展導致了大量綠地與農地轉為建成區的地表覆蓋變化。為探討此類變化如何影響夏季白天與夜間的近地表空氣溫度，本研究分析1990年至2023年間的氣溫變化趨勢。研究方法結合衛星影像進行的土地覆蓋分類、臺灣氣象觀測站資料，以及臺灣歷史氣候重建資料（TReAD），並依據不同土地覆蓋類型進行分類分析。
研究結果顯示，新興都市化區域，特別是林口與龜山，出現最顯著的升溫，夜間氣溫上升超過2 °C。相較之下，綠地比例較高或海拔較高的區域則呈現較小的氣溫增幅，凸顯綠地與地形在緩和氣溫上升方面的作用。1990年代至2000年代初期的資料顯示，夜間升溫相對較強，而2010年代以後則顯示白天升溫趨勢明顯上升，在都市核心區中更與夜間升溫持平甚至超越，可能與不透水鋪面增加、綠地減少以及通風不良導致的日間熱累積效應有關。 整體而言，研究結果顯示地表覆蓋組成與在地環境條件共同影響都市熱環境的時空變化。雖然TReAD為基於觀測資料建構的模擬資料，其格網化的特性有助於掌握區域性氣候趨勢，但氣象觀測站則能補足模型對微氣候變異的限制。整合兩種資料來源有助於更全面理解都市氣溫變化機制，為未來都市發展、綠地配置與熱風險緩解策略提供實證參考。 | zh_TW |
| dc.description.abstract | Urban development in the northern Taipei Metropolitan Area has resulted in extensive conversion of vegetated and agricultural land to built-up surfaces over the past three decades. This study investigates how such land cover changes have influenced summer daytime and nighttime air temperatures from 1990 to 2023. Using satellite-derived land cover classifications, Taiwan’s weather station observations, and the Taiwan Re-Analysis Downscaling dataset (TReAD), temperature trends were assessed across clustered land cover types.
The findings show that newly urbanized areas—especially Linkou and Guishan—experienced the highest warming, with nighttime temperatures rising by over 2 °C. In contrast, vegetated and higher elevation areas showed less warming, suggesting that green space and topography help moderate temperature increases. While the 1990s to early 2000s were marked by stronger nighttime warming, recent years (2010s onward) show a shift toward intensified daytime warming, particularly in long-urbanized city centers where built-up surfaces and reduced airflow may amplify heat buildup. These findings suggest that both land cover and local environmental conditions shape temperature changes over time. This study shows the value of combining gridded model outputs with station data to better understand urban heat warming trends. Insights from the findings may help inform decision makers regarding development consequences and potential land use interventions. | en |
| dc.description.provenance | Submitted by admin ntu (admin@lib.ntu.edu.tw) on 2025-08-21T16:04:37Z No. of bitstreams: 0 | en |
| dc.description.provenance | Made available in DSpace on 2025-08-21T16:04:37Z (GMT). No. of bitstreams: 0 | en |
| dc.description.tableofcontents | 摘要 ⅱ
Abstract ⅲ Table of Contents ⅳ List of Tables ⅵ List of Figures ⅶ Chapter 1 Introduction 1 1.1. Background 1 1.2. Research Questions and Objectives 2 Chapter 2 Literature Review 4 2.1. The Influence of Land Cover on Urban Temperature Patterns 4 2.1.1. The Influence of Land Cover on Air Temperature in Taiwan 5 2.1.2. Insights and Limitations of Using Land Surface Temperature (LST) 6 2.2. Land Cover Change and its Impact on Decadal Temperature Trends 7 Chapter 3 Research Design and Methods 10 3.1. Study Area 10 3.2. Research Design 11 3.3. Taiwan Re-Analysis Downscaling dataset (TReAD) 16 3.4. Observational Data 21 3.4.1. Meteorological Station data 21 3.4.2. Satellite Imagery and Land Cover Classification 24 3.4.3. Meteorological Station Buffer Zone Analysis 27 3.5. Temperature Aggregation and Change Calculation 28 3.6. Statistical Analysis 30 Chapter 4 Results 32 4.1. Land Cover Change in the northern Taipei Metropolitan Area (1984–2023) 32 4.2. Summer Temperature Trends (1961 – 2023) 35 4.3. Influence of Land Cover Change on Summer Temperatures 40 4.3.1. Grid-Based Patterns from TReAD 40 4.3.2. Station-level Analysis 46 4.3.3. Comparison Between Modeled and Observational Temperature Variation… 53 Chapter 5 Discussion 58 5.1. Impact of Land Cover Change on Temperature 58 5.2. Spatial Context Effects 61 5.3. Contrasting Diurnal Warming Patterns 64 5.4. Limitations and Uncertainties 66 Chapter 6 Conclusion 68 6.1. Key Findings 68 6.2. Future Research Directions 69 References 71 | - |
| dc.language.iso | en | - |
| dc.subject | 都市熱島效應 | zh_TW |
| dc.subject | 衛星影像 | zh_TW |
| dc.subject | 臺北都會區 | zh_TW |
| dc.subject | 土地覆蓋變遷 | zh_TW |
| dc.subject | 氣溫 | zh_TW |
| dc.subject | 綠地縮減 | zh_TW |
| dc.subject | 都市化 | zh_TW |
| dc.subject | Taipei Metropolitan Area | en |
| dc.subject | Land Cover Change | en |
| dc.subject | Urbanization | en |
| dc.subject | Urban Heat Island (UHI) | en |
| dc.subject | Greenspace Reduction | en |
| dc.subject | Air Temperature | en |
| dc.subject | Satellite Imagery | en |
| dc.title | 臺北都會區北部地區地表覆蓋變遷下之氣溫變化分析 | zh_TW |
| dc.title | Analysis of Temperature Change Under Land Cover Change in Northern Taipei Metropolitan Area | en |
| dc.type | Thesis | - |
| dc.date.schoolyear | 113-2 | - |
| dc.description.degree | 碩士 | - |
| dc.contributor.coadvisor | 羅敏輝 | zh_TW |
| dc.contributor.coadvisor | Min-Hui Lo | en |
| dc.contributor.oralexamcommittee | 羅資婷;李時雨 | zh_TW |
| dc.contributor.oralexamcommittee | Tzu-Ting Lo;Shih-Yu Lee | en |
| dc.subject.keyword | 都市熱島效應,都市化,綠地縮減,氣溫,土地覆蓋變遷,臺北都會區,衛星影像, | zh_TW |
| dc.subject.keyword | Urban Heat Island (UHI),Urbanization,Greenspace Reduction,Air Temperature,Land Cover Change,Taipei Metropolitan Area,Satellite Imagery, | en |
| dc.relation.page | 81 | - |
| dc.identifier.doi | 10.6342/NTU202504181 | - |
| dc.rights.note | 同意授權(全球公開) | - |
| dc.date.accepted | 2025-08-14 | - |
| dc.contributor.author-college | 共同教育中心 | - |
| dc.contributor.author-dept | 防災減害與韌性碩士學位學程 | - |
| dc.date.embargo-lift | 2025-08-22 | - |
| 顯示於系所單位： | 防災減害與韌性碩士學位學程 | |
文件中的檔案：
| 檔案 | 大小 | 格式 | |
|---|---|---|---|
| ntu-113-2.pdf | 4.82 MB | Adobe PDF | 檢視/開啟 |
系統中的文件，除了特別指名其著作權條款之外，均受到著作權保護，並且保留所有的權利。