Using Vegetation Indices to Characterize Vegetation Cover Change in the Urban Areas of Southern China
Abstracts
1. Introduction
2. Materials and Methods
2.1. Study Area
2.2. Data and Pre-processing
2.3. Research Methods
2.3.1. Linear Regression Analysis
2.3.2. Extracting Urban Core and Peripheral Areas
2.3.3. Indicators of Urbanization and Vegetation
3. Results
3.1. Classification of Vegetation Cover Change in Cities and Its Attributes
3.2. Characteristics of Urban Expansion
3.3. Variations in Vegetation Indicators in the Urban Core and Peripheral Areas
4. Discussion
4.1. The Effect of Urban Expansion on Vegetation
4.2. Effective Strategies for Sustainability in Urban Development
5. Conclusions
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
References
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Dataset | Description | Date (year) | Resolution | Source |
---|---|---|---|---|
GIMMS NDVI 3 g | Normalized difference vegetation index | 1992–2006 | 8 km | National Aeronautics and Space Administration |
MODIS MYD 13 Q1 | Normalized difference vegetation index | 2000–2013 | 250 m | National Aeronautics and Space Administration |
DMSP-OLS NTL | Defense Meteorological Satellite Program/Operational Linescan System nighttime stable light data | 1992–2013 | 1 km | National Geophysical Data Center at the National Oceanic and Atmospheric Administration |
LULC | Land use and land cover data | 1990, 1995, 2000, 2005, 2010, and 2015 | 30 m | Resources and Environment Data Center of the Chinese Academy of Science |
Socio-economic statistics | Gross domestic product (GDP) and population for the cities in the study area | 1992–2013 | / | Statistical yearbooks of the provinces (Jiangxi, Fujian, Hubei, Hunan, Anhui, Guangxi, Guangdong and Zhejiang) published by each province’s statistical bureau |
Classification | Cities | Number of Cities | Total Area (km2) |
---|---|---|---|
Type 1 | Hangzhou, Ningbo, Wenzhou, Shaoxing, Jinhua, Zhoushan, Taizhou, Xiangtan | 8 | 64,640 |
Type 2 | Huangshan, Nanchang, Xinyu, Yingtan, Ji’an, Yichun, Fuzhou, Shangrao, Xianning | 9 | 108,260 |
Type 3 | Quzhou, Lishui, Chizhou, Fuzhou, Xiamen, Putian, Sanming, Quanzhou, Zhangzhou, Nanping, Longyan, Ningde, Jingde, Jiujiang, Ganzhou, Chenzhou, Yongzhou, Huaihua, Shaoguan, Meizhou, Heyuan, Qingyuan, Yunfu, Guilin, Wuzhou, Guigang, Hezhou | 27 | 407,383 |
Type 4 | Pingxiang, Changsha, Zhuzhou, Hengyang, Shaoyang, Loudi | 6 | 68,189 |
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Zhang, Y.; Wang, P.; Wang, T.; Li, J.; Li, Z.; Teng, M.; Gao, Y. Using Vegetation Indices to Characterize Vegetation Cover Change in the Urban Areas of Southern China. Sustainability 2020, 12, 9403. https://doi.org/10.3390/su12229403
Zhang Y, Wang P, Wang T, Li J, Li Z, Teng M, Gao Y. Using Vegetation Indices to Characterize Vegetation Cover Change in the Urban Areas of Southern China. Sustainability. 2020; 12(22):9403. https://doi.org/10.3390/su12229403
Chicago/Turabian StyleZhang, Yu, Pengcheng Wang, Tianwei Wang, Jingwei Li, Zhaoxia Li, Mingjun Teng, and Yunbing Gao. 2020. "Using Vegetation Indices to Characterize Vegetation Cover Change in the Urban Areas of Southern China" Sustainability 12, no. 22: 9403. https://doi.org/10.3390/su12229403