Estimation of Organic Matter, Moisture, Total Iron and pH From Back Soil Based on Multi Scales SNV-CWT Transformation

Yang TAN; Qi-gang JIANG; Hua-xin LIU; Bin LIU; Xin GAO; Bo ZHANG

doi:10.3964/j.issn.1000-0593(2021)11-3424-07

Journals >Spectroscopy and Spectral Analysis >Volume 41 >Issue 11 >Page 3424 > Article

Spectroscopy and Spectral Analysis
Vol. 41, Issue 11, 3424 (2021)

Estimation of Organic Matter, Moisture, Total Iron and pH From Back Soil Based on Multi Scales SNV-CWT Transformation

Yang TAN, Qi-gang JIANG^*;, Hua-xin LIU, Bin LIU..., Xin GAO and Bo ZHANG|Show fewer author(s)

Author Affiliations

College of Geo-exploration Science and Technology, Jilin University, Changchun, 130026, China

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DOI: 10.3964/j.issn.1000-0593(2021)11-3424-07 Cite this Article

Yang TAN, Qi-gang JIANG, Hua-xin LIU, Bin LIU, Xin GAO, Bo ZHANG. Estimation of Organic Matter, Moisture, Total Iron and pH From Back Soil Based on Multi Scales SNV-CWT Transformation[J]. Spectroscopy and Spectral Analysis, 2021, 41(11): 3424 Copy Citation Text

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Fig. 1. Study area and sampling regions

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Fig. 2. Reflectance spectraunder different transformation methods

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Fig. 3. Raw reflectance spectra of dry and wet samples

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Fig. 4. Coefficients of determination (R²) corresponding to different soil properties on multi SNV-CWT scales

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Fig. 5. Correlations between different soil properties and reflectance before and after SNV-CWT

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Fig. 6. Statistical indicators of models taking bands selected by MBC as input variables

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Contents	Max	Min	Mean	SD	CV/%
SOM/(g·kg^-1)	63.36	19.87	34.86	12.65	36.29
SMC/(g·kg^-1)	244.61	38.02	105.25	46.82	44.54
Fe/(g·kg^-1)	33.63	23.02	27.16	2.12	7.81
pH	8.09	4.73	5.74	0.77	13.41

Table 1. Statistical values of soil component from study area

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Contents	SI	Raw	FD	SD	CR	SNV	MSC	GS	Log(1/R)	SNV-CWT
	R²	0.43	0.83	0.70	0.73	0.84	0.68	0.74	0.43	0.90
SOM	Mse	0.83	0.25	0.44	0.40	0.23	0.47	0.38	0.83	0.15
	RPD	1.46	2.51	1.85	2.01	2.71	1.76	1.97	1.37	3.21
	R²	-	0.83	0.87	0.77	0.79	0.74	0.36	0.02	0.93
SMC	Mse	-	3.09	2.32	4.28	3.83	4.831	1.72	18.68	1.37
	RPD	-	2.79	3.49	2.45	2.34	2.34	1.26	1.13	4.71
	R²	-	-	0.20	0.17	0.14	0.09	0.27	-	0.48
Fe	Mse	-	-	0.03	0.03	0.03	0.03	0.03	-	0.02
	RPD	-	-	1.12	1.10	1.11	1.05	1.18	-	1.39
	R²	-	0.44	0.36	0.64	0.61	0.28	0.39	0.13	0.62
pH	Mse	-	0.27	0.32	0.18	0.19	0.36	0.30	0.88	0.19
	RPD	-	1.38	1.27	1.67	1.60	1.18	1.28	0.95	1.63

Table 2. Statistical indicators ofvalidation models of SOM, SMC, Fe and pHunder different transformation methods

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Contents	N	T	Max	R²	Mse	RPD
SOM	3	0.80	0.81	0.91	0.12	3.49
SMC	99	0.75	0.90	0.91	1.66	4.22
Fe	75	0.11	0.22	0.43	0.02	1.34
pH	71	0.29	0.44	0.65	0.17	1.73

Table 3. Statistical indicators of models taking bands selected by PCC as input variables

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Contents	N	T	Max	Min	R²	Mse	RPD
SOM	2	0.90	0.90	0.68	0.91	0.13	3.32
SMC	89	0.92	0.95	0.74	0.90	1.76	4.02
Fe	80	0.81	0.83	0.74	0.45	0.02	1.38
pH	98	0.82	0.85	0.70	0.65	0.17	1.75

Table 4. Statistical indicators of models taking bands selected by GRA as input variables

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