Evaluating the Consistency of Three Tasseled Cap Transformation Algorithms for Landsat 8 Multispectral Data

Mengjie REN; Hanqiu XU

doi:10.11873/j.issn.1004-0323.2025.4.0956

Remote Sensing Technology and Application, Volume. 40, Issue 4, 956(2025)

Evaluating the Consistency of Three Tasseled Cap Transformation Algorithms for Landsat 8 Multispectral Data

Mengjie REN^1,2 and Hanqiu XU^1,2、*

¹College of Environment and Safety Engineering， Institute of Remote Sensing Information Engineering，Fuzhou University， Fuzhou350116， China

²Fujian Provincial Key Laboratory of Remote Sensing Monitoring and Assessment of Soil Erosion and Disaster Prevention， Fuzhou350116， China

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Fig. 1. True color remote sensing images of test sites （RGB= 432）

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Fig. 2. Scatter plots of the brightness components of the three TCT algorithms in the three test sites （B： brightness）

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Fig. 3. Scatter plots of the greenness components of the three TCT algorithms in the three test sites （G： greenness）

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Fig. 4. Scatter plots of the wetness components of the three TCT algorithms in the three test sites

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Fig. 5. The wetness component images of the three algorithms and their comparison with original false color image in Jiuquan

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Fig. 6. Box plots showing the spread of the data for the three TCT component images derived from Baig’s and Liu’s algorithms of the three test sites （Red： Baig， Green： Liu）

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Fig. 7. The spectral curves of TOA and SR reflectance across seven bands in the three test sites

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Table 1. Table 1Images used for this study

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Table 1. Table 1Images used for this study

研究区	轨道号	日期	时间	太阳天顶角/°	太阳方位角/°	面积/km²
中国烟台	119/034	2021-11-14	2:29:57	57.87	161.32	117
中国酒泉	135/032	2020-06-04	4:07:12	24.35	131.26	2 604.06
墨西哥哈利斯科	030/045	2021-11-14	17:24:17	44.46	152.88	228.12

Table 2. Table 2Landsat 8 TCT coefficients of Brightness， Greenness， and Wetness components

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Table 2. Table 2Landsat 8 TCT coefficients of Brightness， Greenness， and Wetness components

算法	分量	Coastal	Blue	Green	Red	NIR	SWIR 1	SWIR 2
Baig (TOA)	亮度	-	0.302 9	0.278 6	0.473 3	0.559 9	0.508 0	0.187 2
	绿度	-	-0.294 1	-0.243 0	-0.542 4	0.727 6	0.071 3	-0.160 8
	湿度	-	0.151 1	0.197 3	0.328 3	0.340 7	-0.711 7	-0.455 9
Zhai (TOA)	亮度	-	0.344 3	0.405 7	0.466 7	0.534 7	0.393 6	0.241 2
	绿度	-	-0.236 5	-0.283 6	-0.425 7	0.809 7	0.004 3	-0.163 8
	湿度	-	0.130 1	0.228 0	0.349 2	0.179 5	-0.627 0	-0.619 5
Liu (TOA)	亮度	0.031 2	0.052 8	0.115 3	0.222 5	0.337 2	0.644 0	0.636 4
	绿度	-0.167 4	-0.205 6	-0.231 9	-0.380 2	0.824 6	-0.010 2	-0.226 4
	湿度	0.266 5	0.231 1	0.170 0	0.104 8	-0.479 0	-0.584 7	-0.514 2

Table 3. Table 3Mean values of the three components of the tasseled cap transformation in the three sites
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Table 3. Table 3Mean values of the three components of the tasseled cap transformation in the three sites
算法亮度绿度湿度均值
Baig 0.518 0 -0.007 1 -0.087 9 0.141 0
Zhai 0.518 8 0.006 9 -0.139 3 0.128 8
Liu 0.488 2 0.001 1 -0.280 3 0.069 7

Table 4. Table 4Statistics of the TCT brightness components inverted by three algorithms based on TOA reflectance data

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Table 4. Table 4Statistics of the TCT brightness components inverted by three algorithms based on TOA reflectance data

	烟台		酒泉		哈利斯科		均值
	Bias	PC/%	Bias	PC/%	Bias	PC/%	\|Bias\|	\|PC\|/%
Baig vs Zhai	–0.004 6	–1.55	–0.001 4	–0.25	0.008 2	2.58	0.004 7	1.46
Liu vs Baig	–0.044 9	–15.15	–0.026 5	–4.87	–0.060 9	–19.19	0.044 1	13.07
Liu vs Zhai	–0.049 5	–16.45	–0.027 9	–5.11	–0.052 6	–17.02	0.043 3	12.86

Table 5. Table 5Statistics of the greenness components inverted by the three algorithms based on TOA reflectance data

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Table 5. Table 5Statistics of the greenness components inverted by the three algorithms based on TOA reflectance data

	烟台		酒泉		哈利斯科		均值
	Bias	PC/%	Bias	PC/%	Bias	PC/%	\|Bias\|	\|PC\|/%
Baig vs Zhai	–0.004 2	–31.11	–0.013 7	–69.97	–0.022 1	–15.04	0.013 3	38.71
Liu vs Baig	0.000 3	2.22	0.008 4	42.75	0.010 4	7.11	0.006 4	17.36
Liu vs Zhai	–0.003 9	–41.94	–0.005 3	–47.55	–0.011 6	–6.90	0.006 9	32.13

Table 6. Table 6Statistics of the wetness components inverted by the three algorithms based on TOA reflectance data

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Table 6. Table 6Statistics of the wetness components inverted by the three algorithms based on TOA reflectance data

	烟台		酒泉		哈利斯科		均值
	Bias	PC/%	Bias	PC/%	Bias	PC/%	\|Bias\|	\|PC\|/%
Baig vs Zhai	0.027 1	66.75	0.054 4	35.62	0.027 7	91.72	0.036 4	64.70
Liu vs Baig	–0.088 3	–86.74	–0.197 6	–66.76	–0.186 3	–98.68	0.157 4	83.39
Liu vs Zhai	–0.061 2	–60.12	–0.143 2	–48.37	–0.158 6	–84.00	0.121 0	64.16

Table 7. Table 7Statistics of the TOA- and SR-based TCT components

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Table 7. Table 7Statistics of the TOA- and SR-based TCT components

TCT component	TCT algorithm	Bias (TOA-SR)	RMSE	PC/%	R²
烟台
Brightness	Baig	0.050 0	0.055 7	20.30	0.997 1
Brightness	Liu	0.013 3	0.022 4	5.59	0.999 3
Greenness	Baig	-0.040 0	0.041 2	-150.94	0.950 2
Greenness	Liu	-0.046 8	0.048 0	-139.29	0.960 5
Wetness	Baig	0.039 1	0.040 0	74.29	0.986 0
Wetness	Liu	0.064 8	0.065 1	38.90	0.997 5
酒泉
Brightness	Baig	0.013 7	0.015 7	2.57	0.998 8
Brightness	Liu	-0.005 9	0.008 5	-1.12	0.999 8
Greenness	Baig	-0.012 7	0.013 9	-180.85	0.996 9
Greenness	Liu	-0.017 6	0.018 6	-277.04	0.996 9
Wetness	Baig	0.022 6	0.022 6	18.68	0.999 2
Wetness	Liu	0.040 1	0.040 1	11.92	0.998 7
哈利斯科
Brightness	Baig	0.037 4	0.037 6	13.37	0.998 1
Brightness	Liu	0.009 3	0.009 8	3.78	0.999 5
Greenness	Baig	-0.038 2	0.038 4	-20.67	0.996 2
Greenness	Liu	-0.044 0	0.044 2	-21.88	0.996 4
Wetness	Baig	0.030 0	0.030 0	84.57	0.996 0
Wetness	Liu	0.055 0	0.055 2	22.56	0.996 9

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Mengjie REN, Hanqiu XU. Evaluating the Consistency of Three Tasseled Cap Transformation Algorithms for Landsat 8 Multispectral Data[J]. Remote Sensing Technology and Application, 2025, 40(4): 956

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Paper Information

Category:

Received: Apr. 7, 2024

Accepted: --

Published Online: Aug. 26, 2025

The Author Email: Hanqiu XU (hxu@fzu.edu.cn)

DOI:10.11873/j.issn.1004-0323.2025.4.0956

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology

Table 1. Table 1Images used for this study

Table 1. Table 1Images used for this study

Table 2. Table 2Landsat 8 TCT coefficients of Brightness， Greenness， and Wetness components

Table 2. Table 2Landsat 8 TCT coefficients of Brightness， Greenness， and Wetness components

Table 3. Table 3Mean values of the three components of the tasseled cap transformation in the three sites

Table 3. Table 3Mean values of the three components of the tasseled cap transformation in the three sites

Table 4. Table 4Statistics of the TCT brightness components inverted by three algorithms based on TOA reflectance data

Table 4. Table 4Statistics of the TCT brightness components inverted by three algorithms based on TOA reflectance data

Table 5. Table 5Statistics of the greenness components inverted by the three algorithms based on TOA reflectance data

Table 5. Table 5Statistics of the greenness components inverted by the three algorithms based on TOA reflectance data

Table 6. Table 6Statistics of the wetness components inverted by the three algorithms based on TOA reflectance data

Table 6. Table 6Statistics of the wetness components inverted by the three algorithms based on TOA reflectance data

Table 7. Table 7Statistics of the TOA- and SR-based TCT components

Table 7. Table 7Statistics of the TOA- and SR-based TCT components