光谱学与光谱分析 |
|
|
|
|
|
Estimate of Soil Attributes Using the Method of Special Band and Reflectance Inflection Difference |
LU Peng1,WEI Zhi-qiang2,NIU Zheng1* |
1. The State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101, China 2. Qingdao Environmental Monitoring Central Station, Qingdao 266003, China |
|
|
Abstract Random sample approaches were employed for the sampling scenario with 41 spots sampled in topsoil (0-20 cm) in Red Soil ecology experimental station, Poyang Lake ecology experimental station, and Qianyanzhou ecology experimental station in Jiangxi Province by global position system (GPS). The hyperspectral reflectance spectra of soil samples were measured in ultraviolet, visible, and near infrared region from 225 to 2 500 nm with an interval of 1nm. The change characteristics of soil hyperspectral reflectance curves were studied. The objective of the present paper was to develop a methodology to estimate soil attributes using spectral reflectance. The multiple linear stepwise regression analysis method was used to build hyperspectral models for the prediction of soil attributes, with 22 bands and 13 “reflectance inflexion differences” as independent variables and the soil attributes as dependent variables respectively. Root mean squared error (RMSE) was introduced to test the predictability and precision of the models, and the correlation coefficient was used to evaluate the stability of the models. Some attributes, such pH, SOC, TN, TP, CEC and available N, had the correlation coefficients higher than 0.80, while the value of TK, available P and available K was about 0.68. The results show that the method is feasible to predict the concentration of some soil attributes, while further study should be done for others attributes.
|
Received: 2007-10-08
Accepted: 2008-01-16
|
|
Corresponding Authors:
NIU Zheng
E-mail: lupeng610@eyou.com
|
|
[1] WANG Duo-jia, ZHOU Xiang-yang, JIN Tong-ming, et al(王多加, 周向阳, 金同铭, 等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2004, 24(4): 447. [2] BAO Yi-dan, HE Yong, FANG Hui, et al(鲍一丹, 何 勇, 方 慧, 等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2007, 27(1): 62. [3] SUN Jian-ying, LI Min-zan, TANG Ning, et al(孙建英, 李民赞, 唐 宁, 等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2007, 27(8): 1502. [4] LI Zi-gang, LIU Hao, QU Ling-bo, et al(李自刚, 刘 浩, 屈凌波, 等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2007, 27(8): 1523. [5] Dunn B W, Beecher H G, Batten G D, et al. Australian Journal of Experimental Agriculture, 2002, 42: 607. [6] Genú A M, Demattê J A M. International Journal of Remote Sensing, 2006, 27: 4807. [7] Barthès B G, Brunet D, Ferrer H, et al. Journal of Near Infrared Spectroscopy, 2006, 14: 341. [8] XU Yong-ming, LIN Qi-zhong, WANG Lu, et al(徐永明, 蔺启忠, 王 璐, 等). Acta Pedologica Sinica(土壤学报), 2006, 43(5): 709. [9] SUN Jian-ying, LI Min-zan, ZHENG Li-hua, et al(孙建英, 李民赞, 郑立华, 等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2006, 26(3): 426. [10] Bogrekci I, Lee W S. Biosystems Engineering, 2005, 91(3): 305. [11] LIU Huan-jun, ZHANG Bai, ZHAO Jun, et al(刘焕军, 张 柏, 赵 军, 等). Acta Pedologica Sinica(土壤学报), 2007, 44(1): 27. [12] Henderson T L, Baumgardner M F, Fransneier D. Soil Sci. Soc. Am. J., 1992, 56: 865. [13] Maderia Netto J S. Photo Interpretation, 1996, 34: 59. [14] Nanni M R, Demattê J A M. Soil Sci. Soc. Am. J., 2006, 70: 393. [15] Ben-Dor E, Banin A. Soil Science, 1995, 159: 259. |
[1] |
LI Xin-ting, ZHANG Feng, FENG Jie*. Convolutional Neural Network Combined With Improved Spectral
Processing Method for Potato Disease Detection[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 215-224. |
[2] |
BAO Hao1, 2,ZHANG Yan1, 2*. Research on Spectral Feature Band Selection Model Based on Improved Harris Hawk Optimization Algorithm[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 148-157. |
[3] |
LIU Wei1, 2, ZHANG Peng-yu1, 2, WU Na1, 2. The Spectroscopic Analysis of Corrosion Products on Gold-Painted Copper-Based Bodhisattva (Guanyin) in Half Lotus Position From National Museum of China[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3832-3839. |
[4] |
HE Qing-yuan1, 2, REN Yi1, 2, LIU Jing-hua1, 2, LIU Li1, 2, YANG Hao1, 2, LI Zheng-peng1, 2, ZHAN Qiu-wen1, 2*. Study on Rapid Determination of Qualities of Alfalfa Hay Based on NIRS[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3753-3757. |
[5] |
MENG Shan1, 2, LI Xin-guo1, 2*. Estimation of Surface Soil Organic Carbon Content in Lakeside Oasis Based on Hyperspectral Wavelet Energy Feature Vector[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3853-3861. |
[6] |
AN Bai-song1, 2, WANG Xue-mei1, 2*, HUANG Xiao-yu1, 2, KAWUQIATI Bai-shan1, 2. Hyperspectral Estimation of Soil Lead Content Based on Random Frog Band Selection Algorithm[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3302-3309. |
[7] |
LIU Wen-bo, LIU Jin, HAN Tong-shuai*, GE Qing, LIU Rong. Simulation of the Effect of Dermal Thickness on Non-Invasive Blood Glucose Measurement by Near-Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2699-2704. |
[8] |
WANG Jing-yong1, XIE Sa-sa2, 3, GAI Jing-yao1*, WANG Zi-ting2, 3*. Hyperspectral Prediction Model of Chlorophyll Content in Sugarcane Leaves Under Stress of Mosaic[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2885-2893. |
[9] |
YAN Xue-jun1, ZHOU Yang2, HU Dan-jing1, YU Dan-yan1, YU Si-yi1, YAN Jun1*. Application of UV-VIS Diffuse Reflectance Spectrum, Raman and
Photoluminescence Spectrum Technology in Nondestructive
Testing of Yellow Pearl[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(06): 1703-1710. |
[10] |
CHEN Xiao-li1, LI You-li1, LI Wei3, WANG Li-chun1, GUO Wen-zhong1, 2*. Effects of Red and Blue LED Lighting Modes on Spectral Characteristics and Coloring of Tomato Fruit[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(06): 1809-1814. |
[11] |
ZHANG Chao1*, SU Xiao-yu1, XIA Tian2, YANG Ke-ming3, FENG Fei-sheng4. Monitoring the Degree of Pollution in Different Varieties of Maize Under Copper and Lead Stress[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(04): 1268-1274. |
[12] |
YAN Jun1, FANG Shi-bin1, YAN Xue-jun1, SHENG Jia-wei2, XU Jiang1, XU Chong3, ZHANG Jian2*. Study on the Common Effect of Heat Treatment, Dyeing or Irradiation Treatment on UV-Vis Diffuse Reflectance Spectra of Pearls[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(12): 3697-3702. |
[13] |
FANG Shi-bin1, JIANG Yang-ming1, YAN Jun1, 2, YAN Xue-jun1, ZHOU Yang3, ZHANG Jian2*. The Types of UV-Vis Diffuse Reflectance Spectra of Common Gray Pearls and Their Coloring Mechanism[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(12): 3703-3708. |
[14] |
LIU Hong-jun1, NIU Teng1, YU Qiang1*, SU Kai2, YANG Lin-zhe1, LIU Wei1, WANG Hui-yuan1. Inversion and Estimation of Heavy Metal Element Content in Peach Forest Soil in Pinggu District of Beijing[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(11): 3552-3558. |
[15] |
WU Meng-ruo, QIN Zhen-fang, HAN Liu-yang, HAN Xiang-na*. Preparation and Spectra Study of Artificially Degraded Waterlogged Wood[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(09): 2941-2946. |
|
|
|
|