Accuracy Evaluation and Parameter Analysis of Land Surface Temperature Inversion Algorithm for Landsat-8 Data

Table 7

Root Mean Square Error (RMSE), average bias, slope, intercept, and R² of LST inversion and field measured temperature.

Season	Model ID	RMSE	Bias	Slope	Intercept
Winter	LST1	0.67	−0.15	0.94	0.04	0.775
	LST2	3.24	−0.73	0.94	−0.54	0.772
	LST3	18.89	4.22	0.91	4.52	0.775
	LST4	0.27	−0.06	0.98	0.01	0.794
	LST5	3.23	−0.72	0.94	−0.53	0.772
	LST6	13.54	3.03	1.16	2.51	0.738
	LST7	11.80	2.64	1.89	−0.24	0.771
	LST8	22.42	5.01	0.93	5.24	0.776
	LST9	19.20	4.29	0.93	4.52	0.772
Spring	LST1	10.18	2.28	1.42	−12.30	0.535
	LST2	9.54	2.13	1.38	−11.03	0.531
	LST3	39.09	8.74	1.33	−2.57	0.531
	LST4	12.33	2.76	1.49	−14.05	0.472
	LST5	9.79	2.19	1.38	−11.02	0.530
	LST6	82.87	18.53	2.11	−19.69	0.469
	LST7	63.14	14.12	1.04	12.86	0.055
	LST8	91.98	20.57	1.44	5.31	0.532
	LST9	90.20	20.17	1.52	2.28	0.561
Summer	LST1	11.12	2.49	1.32	−8.99	0.459
	LST2	11.49	2.57	1.28	−7.39	0.498
	LST3	65.02	14.54	1.16	8.88	0.450
	LST4	11.47	2.57	1.33	−9.16	0.458
	LST5	11.86	2.65	1.28	−7.52	0.499
	LST6	84.98	19.00	1.49	1.65	0.411
	LST7	72.96	16.32	1.36	3.32	0.121
	LST8	53.96	12.07	1.35	0.32	0.465
	LST9	55.89	12.50	1.25	0.28	0.500
Autumn	LST1	1.68	−0.38	0.69	4.35	0.592
	LST2	1.63	−0.37	0.72	3.89	0.522
	LST3	12.74	2.85	0.66	7.94	0.591
	LST4	0.45	−0.10	0.70	4.36	0.607
	LST5	1.53	−0.34	0.72	3.90	0.519
	LST6	27.62	6.17	0.93	7.30	0.459
	LST7	21.57	4.82	0.52	12.06	0.055
	LST8	32.28	7.22	0.70	11.81	0.599
	LST9	31.58	7.06	0.74	10.97	0.573