Inverting Study on Soil Water Content Based on Harmonic Analysis and Hyperspectral Remote Sensing

Xueqin Jiang; Qin Ye; Yi Lin; Xican Li

doi:10.3788/AOS201737.1028001

Acta Optica Sinica, Volume. 37, Issue 10, 1028001(2017)

Inverting Study on Soil Water Content Based on Harmonic Analysis and Hyperspectral Remote Sensing

Xueqin Jiang¹, Qin Ye^1、*, Yi Lin¹, and Xican Li²

Author Affiliations

¹ College of Surveying and Geo-Informatics, Tongji University, Shanghai 200092, China

² College of Information Science and Engineering, Shandong Agricultural University, Taian, Shandong 271018, China

show less

Abstract Get PDF(in Chinese)

Figures & Tables(12)

Fig. 1. The area of collecting soil samples

Download full size

Fig. 2. OS reflectance of soil water content

Download full size

Fig. 3. Spectral curves (a) before and (b) after wavelet packet denoising

Download full size

Fig. 4. Inversion flow chart of soil water content

Download full size

Fig. 5. Coefficients between different data and soil water contents

Download full size

Fig. 6. Correlation coefficient between different energy spectrum characteristic parameters and soil water contents

Download full size

Fig. 7. Comparison of measured and inversed values of soil water content

Download full size

Fig. 8. Relative error of measured and inversed values of soil water content

Download full size

Table 1. PCA characteristic values and variance contributions of FD data

View table

Table 1. PCA characteristic values and variance contributions of FD data

Principal component	Characteristic value /10^-7	Variance contribution /%	Accumulative contribution /%
PCA1	93.82	75.835	75.835
PCA2	6.953	5.620	81.455
PCA3	4.851	3.921	85.377
PCA4	3.260	2.635	88.012
PCA5	2.510	2.025	90.037
…	…	…	…

Table 2. PCA characteristic values and variance contributions of WPT-FD data

View table

Table 2. PCA characteristic values and variance contributions of WPT-FD data

Principal component	Characteristic value /10^-8	Variance contribution /%	Accumulative contribution /%
PCA1	931.4	88.549	88.549
PCA2	41.40	3.936	92.485
PCA3	18.55	1.764	94.249
PCA4	10.25	0.974	95.223
PCA5	9.071	0.862	96.085
…	…	…	…

Table 3. PCA characteristic values and variance contributions of harmonic component

View table

Table 3. PCA characteristic values and variance contributions of harmonic component

Principal component	Characteristic value	Variance contribution /%	Accumulative contribution /%
PCA1	0.0811	93.900	93.900
PCA2	4.712×10^-8	4.201	98.101
PCA3	1.342×10^-9	0.656	98.757
PCA4	1.623×10^-10	0.154	98.911
PCA5	1.356×10^-10	0.102	99.013
…	…	…	…
PCA 11	1.373×10^-11	1.693×10^-8	100.000

Table 4. Comparison of the accuracy of different inversion models
View table
Table 4. Comparison of the accuracy of different inversion models
Inversion model R R² E_RMS
FD-PCA-BP 0.9259 0.8573 3.0490
WPT-FD-PCA-BP 0.9500 0.9025 2.3648
WPT-FD-HA-PCA-BP 0.9798 0.9599 1.6670

Tools

Get Citation

Copy Citation Text

Xueqin Jiang, Qin Ye, Yi Lin, Xican Li. Inverting Study on Soil Water Content Based on Harmonic Analysis and Hyperspectral Remote Sensing[J]. Acta Optica Sinica, 2017, 37(10): 1028001

Download Citation

EndNote(RIS)BibTex Plain Text

Set citation alerts for article

Save article for my favorites