Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor | Faculty of Construction and Environment | en_US |
dc.contributor | Department of Land Surveying and Geo-Informatics | en_US |
dc.contributor.advisor | Zhu, Xiaolin (LSGI) | - |
dc.creator | Liang, Yushan | - |
dc.identifier.uri | https://theses.lib.polyu.edu.hk/handle/200/10521 | - |
dc.language | English | en_US |
dc.publisher | Hong Kong Polytechnic University | - |
dc.rights | All rights reserved | en_US |
dc.title | Study of urbanization effects on vegetation phenology in Beijing using multi-source remotely sensed data | en_US |
dcterms.abstract | Urbanization effects on phenology is a crucial topic now because it not only influences the timing of vegetation growth, but also implicates human health. Extensive studies used remotely sensed data and climate data to evaluate the effects of global warming on vegetation phenology at large scales. However, there are limited studies on how urbanization affects vegetation phenology in urban regions at fine scales. Most of the studies in China focus on the phenological response to temperature in regions without intensive human activities like Tibetan Plateau. Several studies used land surface temperature as the indicator to explore the effects of urban heated island (UHI) on urban vegetation phenology. However, UHI cannot represent air temperature which is more related to vegetation growth. In addition, artificial lights could be another factor affecting vegetation growth which is rarely explored. Therefore, it is necessary to study the urbanization effects on vegetation phenology using more potential factors. In this study, we used Moderate Resolution Imaging Spectroradiometer (MODIS) enhanced vegetation index (EVI) in 2012, the air temperature data in 2012 recorded by 232 meteorological stations in Beijing from city center to outskirts, and Visible Infrared Imaging Radiometer Suite (VIIRS) nighttime light data (NTL) in 2012 to quantify effects of temperature and artificial light on vegetation phenology in spatial domain. We also use MODIS EVI data recorded during a 16 year period from 2001 to 2016, to characterize the trend and variation of vegetation phenology in Beijing in urban, urbanization and rural area, respectively, to infer the sensitivity of vegetation phenology to climate change in different land covers. The results show that both air temperature and nighttime light have impacts on vegetation phenology in Beijing. Both spring air temperature and artificial light at night are negatively correlated to the vegetation green-up onset (SOS), and the autumn air temperature have a positive relationship with vegetation dormancy onset (EOS), while the artificial light have no significant relationship with EOS. We also found that phenology circle in the whole areas starts earlier and ends later during 2001-2016 especially in urban and urbanization area. Besides, the annual vegetation phenology in rural area is more stable than that in both urban and urbanization area. These findings suggest that urban environment indeed has impact on vegetation growth. It can deep our understanding on the interactions between vegetation and environment. | en_US |
dcterms.extent | viii, 71 pages : color illustrations | en_US |
dcterms.isPartOf | PolyU Electronic Theses | en_US |
dcterms.issued | 2018 | en_US |
dcterms.educationalLevel | M.Sc. | en_US |
dcterms.educationalLevel | All Master | en_US |
dcterms.LCSH | Plant phenology -- Remote sensing | en_US |
dcterms.LCSH | Urbanization -- China -- Beijing | en_US |
dcterms.LCSH | Hong Kong Polytechnic University -- Dissertations | en_US |
dcterms.accessRights | restricted access | en_US |
Files in This Item:
File | Description | Size | Format | |
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991022385849203411.pdf | For All Users (off-campus access for PolyU Staff & Students only) | 2.32 MB | Adobe PDF | View/Open |
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