Remote sensing-based study on the urban ecological quality of the emerging Xiamen-Zhangzhou-Quanzhou metropolitan area
Owing to the complex,potentially nonlinear relationship between urban ecological systems and biophysical surface components in metropolitan areas,selecting suitable quantitative models to evaluate their urban ecological quality is not always clear.The Xiamen-Zhangzhou-Quanzhou metropolitan area was taken as an example.Eight ecological indicators,including NDBSI,RD,La,NDVI,ECI,W,LST,and V,were integrated into a new model named the Urban Remote Sensing Ecological Quality Index(UEQ)using Principal Component Analysis.The UEQ was used to quantitatively evaluate the ecological quality of the emerging Xiamen-Zhangzhou-Quanzhou metropolitan area.The quantitative relationship between UEQ at different levels and landscape indices was analyzed.Results showed that the Xiamen-Zhangzhou-Quanzhou metropolitan area had a mean ecological quality value of 0.558.Comparing the eight indices within the UEQ,the NDVI,ECI,W,and V indices positively affected the ecology,while the NDBSI,RD,La,and LST indices had a negative effect.It had high NDBSI,La,and LST values and low V values.The other four indicators had a low contribution to UEQ results.According to the spatial distribution of the UEQ,the ecological quality value in the western region of the Xiamen-Zhangzhou-Quanzhou metropolitan area was generally higher than that in the east region.The eastern urban center,covered by a high ratio of impervious surfaces and a low ratio of vegetation,had low ecological connectivity between the ecological land patches,resulting in a lower ecological quality value of 0.212 than that of the whole study area.The western mountain conservation belt had high NDVI and ECI values,which helped reach a higher ecological quality value of 0.104 than the whole study area.The ecological quality of the region with small and dispersive impervious surface patches and low intra-patch connectivity was better than that with large and aggregate impervious surface patches.
国家科技期刊平台
NSTL
万方数据
