Research on Model Transfer Method of Organic Matter Content Estimation of Different Soils Using VNIR Spectroscopy

Guo-tian HU; Hui-wei SHANG; Rui-hong TAN; Xiang-hu XU; Wei-dong PAN

doi:10.3964/j.issn.1000-0593(2022)10-3148-07

Journals >Spectroscopy and Spectral Analysis >Volume 42 >Issue 10 >Page 3148 > Article

Spectroscopy and Spectral Analysis
Vol. 42, Issue 10, 3148 (2022)

Research on Model Transfer Method of Organic Matter Content Estimation of Different Soils Using VNIR Spectroscopy

Guo-tian HU^*, Hui-wei SHANG^{1; 2; 3;}, Rui-hong TAN^1;, Xiang-hu XU^1;, and Wei-dong PAN^1;

Author Affiliations

1. College of Mechanical and Electronic Engineering, Northwest A&F University, Yangling 712100, China

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DOI: 10.3964/j.issn.1000-0593(2022)10-3148-07 Cite this Article

Guo-tian HU, Hui-wei SHANG, Rui-hong TAN, Xiang-hu XU, Wei-dong PAN. Research on Model Transfer Method of Organic Matter Content Estimation of Different Soils Using VNIR Spectroscopy[J]. Spectroscopy and Spectral Analysis, 2022, 42(10): 3148 Copy Citation Text

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Fig. 1. Locations of N116B & M107B on the map of USA

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Fig. 2. Mean reflectance spectra of soil samples from source soil M107B and target soil N116B

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Fig. 3. Experimental flow chart

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Fig. 4. Model performances when adding different numbers of soil samples from N116B region

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Fig. 5. Comparison of R² with or without No.105 sample

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Fig. 6. Model performances when adding 130 soil samples which are not special samples in N116B region

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土壤类型	样品数量	土壤有机质含量/%
土壤类型	样品数量	最大值	最小值	均值	标准偏差
源土壤M107B区	89	5.700	0.800	2.723	1.121
N116B区校正集	150	6.900	1.000	3.357	1.035
N116B区验证集	20	5.800	1.700	3.380	0.931

Table 1. Statistics of physical and chemical analysis results of soil organic matter

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实验	校正集样品数量	验证集样品数量	PSO-LSSVM
实验	校正集样品数量	验证集样品数量	R²	RMSEP/%	RPD
实验(1)	66	23	0.859	0.334	2.660
实验(2)	89	20	0.562	0.977	0.952

Table 2. Model performances of experiments (1) and (2)

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实验	校正集样品数量	验证集样品数量	PSO-LSSVM
实验	校正集样品数量	验证集样品数量	R²	RMSEP/%	RPD
实验(3)	89+5	20	0.562	0.897	1.038
	89+10		0.563	0.690	1.349
	89+15		0.657	0.656	1.419
	89+20		0.766	0.503	1.850
	89+25		0.794	0.466	1.999
	89+30		0.793	0.438	2.125
	89+35		0.805	0.443	2.101
	89+40		0.814	0.413	2.255
	89+45		0.805	0.430	2.166
	89+50		0.811	0.409	2.274
	...
	89+100		0.809	0.399	2.329
	89+105		0.867	0.334	2.783
	89+110		0.865	0.334	2.783
	89+115		0.840	0.363	2.561
	...

Table 3. Model performances of experiment (3)

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土壤有机质含量/%	反射率
土壤有机质含量/%	544 nm	728 nm	1486 nm	1830 nm	1 895 nm	2 285 nm	2 450 nm
1.0	0.303	0.457	0.608	0.629	0.602	0.633	0.614
1.4	0.306	0.461	0.600	0.642	0.621	0.646	0.628
2.7	0.265	0.412	0.577	0.599	0.569	0.592	0.565
2.8	0.295	0.435	0.598	0.618	0.599	0.624	0.612
2.8	0.286	0.435	0.617	0.640	0.602	0.626	0.594
3.0	0.296	0.437	0.607	0.632	0.597	0.620	0.592
3.2	0.265	0.414	0.598	0.623	0.598	0.623	0.605
4.8	0.197	0.328	0.586	0.617	0.580	0.600	0.570
4.8	0.212	0.361	0.558	0.584	0.562	0.581	0.563
4.9	0.193	0.310	0.580	0.614	0.583	0.608	0.520
4.9	0.262	0.398	0.587	0.613	0.590	0.606	0.591
4.9	0.132	0.209	0.492	0.536	0.506	0.538	0.507
4.9	0.215	0.363	0.590	0.617	0.586	0.603	0.579
5.0	0.171	0.296	0.551	0.580	0.539	0.557	0.519
5.5	0.228	0.356	0.562	0.591	0.565	0.585	0.566
5.7	0.138	0.225	0.509	0.549	0.514	0.538	0.500
5.9	0.202	0.338	0.551	0.582	0.559	0.581	0.566
6.3	0.117	0.193	0.450	0.492	0.468	0.494	0.469
6.4	0.210	0.340	0.533	0.563	0.540	0.560	0.544
6.9	0.221	0.342	0.552	0.583	0.550	0.564	0.537

Table 4. The data of calibration samples in N116B which improve R² above 0.05

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