Contribution Degree of Different Surface Factors in Urban Interior to Urban Thermal Environment

Table 4

The standard deviation of each class of LST (unit: °C).

City	Name	Water	Vegetation	Bright building	Bright soil	Dark building	Dark soil	Alloy building
Beijing	20130901	1.49	1.40	1.58	1.34	1.57	1.26	1.70
	20140819	0.59	0.97	1.37	1.19	1.37	1.02	1.61
	20150907	1.98	2.28	2.73	1.93	2.09	2.53	2.57
	20170912	1.49	1.29	1.78	1.55	1.91	1.55	1.93
	20181001	1.64	1.18	1.27	1.26	1.20	1.20	1.30
	20190817	1.31	1.66	1.64	1.42	1.71	1.48	1.64
Wuhan	20130917	1.34	1.10	1.65	1.42	2.01	1.10	1.81
	20141006	0.59	0.97	1.37	1.19	1.37	1.02	1.61
	20171030	0.89	0.87	1.09	1.23	1.17	0.87	1.58
	20191020	0.82	0.94	1.54	1.08	1.60	1.34	1.89
Xi’an	20130913	1.07	1.15	1.57	1.31	1.46	1.31	1.77
	20141002	1.00	0.59	0.82	0.83	1.05	0.59	1.23
	20171026	1.02	1.16	0.96	0.87	1.25	1.11	1.32
	20181029	0.90	1.24	1.13	1.51	1.38	1.14	1.30
	20190813	1.12	1.40	1.48	1.49	1.50	1.56	1.47
Jinan	20130926	1.01	0.98	1.11	1.21	1.24	0.92	1.21
	20141015	1.20	1.09	1.25	1.81	1.05	1.11	0.98
	20151002	1.41	1.00	1.15	1.85	1.17	1.08	1.44
	20160902	1.80	1.15	1.55	1.22	1.60	1.33	1.87
	20180908	1.77	1.35	1.58	1.59	1.35	1.78	1.67
	20190927	1.41	1.57	1.56	1.86	1.41	1.59	2.11
Nanchang	20131005	1.09	1.23	1.17	0.59	0.97	1.37	1.52
	20141008	1.13	1.25	1.27	1.31	1.15	1.11	1.44
	20170914	0.97	1.63	1.32	1.51	1.45	2.02	2.43
	20181003	1.31	1.61	1.31	1.37	1.52	1.31	1.53
Changsha	20151025	0.86	0.89	1.44	1.34	1.18	1.12	1.97
Zhengzhou	20131010	1.53	1.37	1.32	1.91	1.04	1.71	1.11
	20150914	1.35	1.16	1.14	1.35	1.03	1.07	1.42
	20181024	0.88	0.99	1.17	1.26	1.07	0.90	1.50