Impacts of 2D/3D building morphology on vegetation greening trends in Hong Kong: An urban-rural contrast perspective DOI Creative Commons
Yu Liu, Qihao Weng

Urban forestry & urban greening, Journal Year: 2024, Volume and Issue: unknown, P. 128624 - 128624

Published: Nov. 1, 2024

Language: Английский

Global urbanization indirectly ‘enhances’ the carbon sequestration capacity of urban vegetation DOI Creative Commons

Jieming Kang,

Baolei Zhang, Qian Zhang

et al.

Geography and sustainability, Journal Year: 2025, Volume and Issue: unknown, P. 100268 - 100268

Published: Jan. 1, 2025

Language: Английский

Citations

1

Dual effects on vegetation from urban expansion in the drylands of northern China: A multiscale investigation using the vegetation disturbance index DOI
Tao Qi, Qiang Ren, Chunyang He

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 928, P. 172481 - 172481

Published: April 16, 2024

Language: Английский

Citations

4

A new method for evaluating the coordinated relationship between vegetation greenness and urbanization DOI Creative Commons
Huimeng Wang,

Chuanwen Yang,

Yong Sun

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Feb. 19, 2025

Language: Английский

Citations

0

Trend analysis of the coupling effect between new urbanization and resources-environment in the Guangdong-Hong Kong-Macao Greater Bay area DOI
Haiqiang Dou, Guoqin Zhang

Ecological Indicators, Journal Year: 2025, Volume and Issue: 175, P. 113601 - 113601

Published: May 17, 2025

Language: Английский

Citations

0

Urbanity mapping reveals the complexity, diffuseness, diversity, and connectivity of urbanized areas DOI Creative Commons
Dawa Zhaxi, Weiqi Zhou, Steward T. A. Pickett

et al.

Geography and sustainability, Journal Year: 2024, Volume and Issue: 5(3), P. 357 - 369

Published: Sept. 1, 2024

There are urgent calls for new approaches to map the global urban conditions of complexity, diffuseness, diversity, and connectivity. However, existing methods mostly focus on mapping urbanized areas as bio physical entities. Here, based continuum urbanity framework, we developed an approach cross-scale from town city megaregion with different spatial resolutions using Google Earth Engine. This was multi-source remote sensing data, Points Interest – Open Street Map (POIs-OSM) big random forest regression model. is scale-independent revealed significant variations in urbanity, underscoring differences urbanization patterns across megaregions between rural areas. Urbanity observed transcending traditional boundaries, diffusing into settlements within non-urban locales. The finding communities far challenges gradient theory urban-rural development distribution. By livelihoods, lifestyles, connectivity simultaneously, maps present a more comprehensive characterization than that by land cover or population density alone. It helps enhance understanding beyond biophysical form. can provide multifaceted urbanization, thereby insights regional sustainability.

Language: Английский

Citations

3

Comparative study of construction land development suitability assessment: Insights from multiple models and driving forces DOI
Zhong Zhang,

Jian Gong,

Jingye Li

et al.

Environmental Impact Assessment Review, Journal Year: 2024, Volume and Issue: 107, P. 107574 - 107574

Published: June 8, 2024

Language: Английский

Citations

3

Indirect non-linear effects of landscape patterns on vegetation growth in Kunming City DOI Creative Commons
Ninglv Li, Fangkai Zhao, Shanshan Chen

et al.

npj Urban Sustainability, Journal Year: 2024, Volume and Issue: 4(1)

Published: June 25, 2024

Abstract Urban greening is becoming an important strategy in improving urban ecosystem services and sustainability. Identifying the response of vegetation to urbanization landscape patterns can help planning for greening. Urbanization may lead both direct indirect effects on vegetation, growth (UIE-VG) have been paid much attention recently large scale. In this study, we investigated spatiotemporal evolution UIE-VG using boosted regression tree model remotely sensed data. An increase average from 4 56% was found during Kunming, case study area southwest China. However, exhibited high variations due pattern changes at local Overall, area-related aggregation-related metrics had greater than other metrics. The aggregation built-up land enhanced by 3.1–81.3% while unused waterbodies reduced 0.7–20.6%. Moreover, that aggregated areas mitigate negative low areas. Our findings implications integrating into sustainable strategies.

Language: Английский

Citations

2

Assessment of urbanization impacts in Tegucigalpa urban greenness via normalized difference vegetation index. DOI Creative Commons
Alexander David Reyes-Avila,

Riley Ann Baxter

Trees Forests and People, Journal Year: 2024, Volume and Issue: unknown, P. 100680 - 100680

Published: Sept. 1, 2024

Language: Английский

Citations

1

Impacts of 2D/3D building morphology on vegetation greening trends in Hong Kong: An urban-rural contrast perspective DOI Creative Commons
Yu Liu, Qihao Weng

Urban forestry & urban greening, Journal Year: 2024, Volume and Issue: unknown, P. 128624 - 128624

Published: Nov. 1, 2024

Language: Английский

Citations

1