Spatiotemporal Changes of Thermal Environment Landscape Pattern in Changsha

Abstract

The urban thermal environment has become the subject of considerable attention in the field of researchinto the eco鄄environmental effects of cities. Research into the laws governing the evolution of the urban thermal environment could contribute to the mitigation of the negative effects of the urban heat island (UHI) and promote the sustainable development of cities. This paper analyzed the spatiotemporal changes of the urban thermal landscape in Changsha, China. Four Enhanced Thematic Mapper Plus thermal images of the urban center of Changsha, taken in the same month in 2004 and 2010, were used to retrieve the brightness temperature, which was then classified into five temperature regions: low, sub鄄 middle, middle, sub鄄high, and high. The landscape types of the urban center of Changsha in both 2004 and 2010 were classified based on land use data. Landscape metrics were used to quantify the spatiotemporal changes of the urban thermal landscape and the underlying surface pattern. By combining moving window and gradient analyses, the spatial changes of the urban thermal landscape pattern in Changsha from 2004 to 2010 were established and the evolution of the thermal landscape was analyzed from 16 directions. Zonal statistics were applied to investigate the changes of various urban landscape patterns under different thermal landscape ranks, which clarified the relationship between the spatial pattern and composition of the urban landscape and the spatial variation of surface temperature on a landscape scale. Based on this work, a number of conclusions were drawn. 1) Following the rapid urbanization of Changsha, the districts of the UHI expanded and became

A Review of Remote Sensing for Environmental Monitoring in China

“…On the one hand, the LST information was obtained from thermal bands and atmospheric parameters; and on the other hand, the land use and cover (industrial land, farmland, woodland), and landscape pattern were derived from optical bands. A correlation analysis was conducted among them to identify the important correlation factors relevant to heat islands [81,85].…”

Remote sensing inversion and spatial variation of land surface temperature over mining areas of Jixi, Heilongjiang, China

“…According to landscape ecological theory, the size and shape of these patches also affect their energy accumulation. Likewise, some researchers have recognized that larger patches of construction land have higher degrees of aggregation, more regular shapes, higher LSTs, and more significant heat island effects (Yu, 2006;Fu, 2001;Xie, Wang & Fu, 2011;Xu et al, 2015). Some studies have analyzed different types of disturbances at the interior of mining lands, among which dumps, opencast coal pits, and industrial centers have higher contributions to local warming (Xie, Wang & Fu, 2011;Liu, 2016).…”

The spatiotemporal changes of urban thermal environment influenced by landscape patterns—based on panel data models

“…In the analysis of the correlation between green landscape spatial configuration and cooling effects, some studies have observed that green patches with simple shapes and concentrated distribution have better cooling effects (Li, et al 2012;Peng, et al 2016;Shuang, et al 2015), while others have concluded that green areas with complex and dispersed shapes have lower temperatures and stronger cooling effects (Li-Hua and Wen-Ze 2008;Yueyi, et al 2014).…”