Mega-cities dominate China's urban greening
Fuente:
arXiv
Gespeichert in:
| Hauptverfasser: | , , , , , , , , , , , , |
|---|---|
| Format: | Preprint |
| Veröffentlicht: |
2023
|
| Schlagworte: | |
| Online-Zugang: | |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| _version_ | 1866916794470498304 |
|---|---|
| author | Zhang, Xiaoxin Brandt, Martin Tong, Xiaoye Tong, Xiaowei Zhang, Wenmin Reiner, Florian Li, Sizhuo Tian, Feng Yue, Yuemin Zhou, Weiqi Chen, Bin Xiao, Xiangming Fensholt, Rasmus |
| author_facet | Zhang, Xiaoxin Brandt, Martin Tong, Xiaoye Tong, Xiaowei Zhang, Wenmin Reiner, Florian Li, Sizhuo Tian, Feng Yue, Yuemin Zhou, Weiqi Chen, Bin Xiao, Xiangming Fensholt, Rasmus |
| contents | Trees play a crucial role in urban environments, offering various ecosystem services that contribute to public health and human well-being. China has initiated a range of urban greening policies over the past decades, however, monitoring their impact on urban tree dynamics at a national scale has proven challenging. In this study, we deployed nano-satellites to quantify urban tree coverage in all major Chinese cities larger than 50 km2 in 2010 and 2019. Our findings indicate that approximately 6000 km2 (11%) of urban areas were covered by trees in 2019, and 76% of these cities experienced an increase in tree cover compared to 2010. Notably, the increase in tree cover in mega-cities such as Beijing, and Shanghai was approximately twice as large as in most other cities (7.69% vs 3.94%). The study employs a data-driven approach towards assessing urban tree cover changes in relation to greening policies, showing clear signs of tree cover increases but also suggesting an uneven implementation primarily benefiting a few mega-cities. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2307_00894 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Mega-cities dominate China's urban greening Zhang, Xiaoxin Brandt, Martin Tong, Xiaoye Tong, Xiaowei Zhang, Wenmin Reiner, Florian Li, Sizhuo Tian, Feng Yue, Yuemin Zhou, Weiqi Chen, Bin Xiao, Xiangming Fensholt, Rasmus Computer Vision and Pattern Recognition Physics and Society Trees play a crucial role in urban environments, offering various ecosystem services that contribute to public health and human well-being. China has initiated a range of urban greening policies over the past decades, however, monitoring their impact on urban tree dynamics at a national scale has proven challenging. In this study, we deployed nano-satellites to quantify urban tree coverage in all major Chinese cities larger than 50 km2 in 2010 and 2019. Our findings indicate that approximately 6000 km2 (11%) of urban areas were covered by trees in 2019, and 76% of these cities experienced an increase in tree cover compared to 2010. Notably, the increase in tree cover in mega-cities such as Beijing, and Shanghai was approximately twice as large as in most other cities (7.69% vs 3.94%). The study employs a data-driven approach towards assessing urban tree cover changes in relation to greening policies, showing clear signs of tree cover increases but also suggesting an uneven implementation primarily benefiting a few mega-cities. |
| title | Mega-cities dominate China's urban greening |
| topic | Computer Vision and Pattern Recognition Physics and Society |
| url | https://arxiv.org/abs/2307.00894 |