Guohang Tian

TL;DR: In this article, a modified pre-stratified random sampling method was applied to obtain the vegetation information of the four types of urban green spaces in Luohe, a common plain city in China; and i-Tree Eco model was further used to assess the vegetation structure and various ecosystem services.

TL;DR: Wang et al. as mentioned in this paper used remote sensing data and spatial metrics to identify the relative influence of planning policies at various levels (relative to socioeconomic influences) on trends in landscape patterns in the rapid urbanization process of Zhengzhou, the capital city of Henan Province and the core city of central China.

TL;DR: Spatial metrics indicate that larger amounts and patches of dispersed green space mitigate flooding risk, while aggregating buildings (roofs) and green space into larger, separate areas exacerbates risk.

TL;DR: Wang et al. as mentioned in this paper developed a new, cost-effective approach to assess green roof development potential by using ultra-high-resolution (UHR) (0.09 m) Unmanned Aerial Vehicle (UAV) imagery in a case study site (Central Luohe with an area of 158 km2).

TL;DR: In this article, the authors used high-resolution satellite imagery and two years of daily PM concentration data from nine national air pollution monitoring stations in Zhengzhou, China, to examine the relative importance of seasonal cycling and greenspace effects on PM concentrations.