| 光谱学与光谱分析 |
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| Prediction of Total Nitrogen and Total Phosphorus Concentrations in Purple Soil Using Hyperspectral Data |
| XU Li-hua, XIE De-ti*, WEI Chao-fu, LI Bing |
| College of Resources and Environment, Southwest University, Chongqing 400716, China |
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Abstract Hyper-spectral remote sensing is one of the effective means for prediction of soil nutrients. Taking Wangjiagou small watershed of Three Gorges Reservoir Area as researching zone, based on the soil physicochemical properties, reflective spectrum analysis and measurement, were built predictive models for total phosphorous and total phosphorus concentrations in purple soil. Meanwhile, 33 soil samples from paddy soil were used to validate the prediction models for soil nutrients in purple soil. Results show that the total correlation coefficients between their predicted values and measured values of total nitrogen and total phosphorus concentration in purple soil are 0.672 and 0.498, respectively. Correlation coefficients obtained from predictive model of purple soil nutrients validated by paddy soil samples are 0.550 and 0.124. Therefore, it is reasonable to use hyper-spectrum method to prediction total nitrogen concentration. But prediction accuracy for total phosphorus concentration in purple soil is relatively poor. The prediction model of soil nutrients in purple soil is not suitable for paddy soil.
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Received: 2012-07-15
Accepted: 2012-10-25
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Corresponding Authors:
XIE De-ti
E-mail: xdt@swu.edu.cn
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[1] Xie H T, Yang X M, Drury C F, et al. Canadian Journal of Soil Science, 2011，91(1): 53.
[2] ZHANG Juan-juan, TIAN Yong-chao, YAO Xia, et al(张娟娟，田永超，姚 霞，等). Journal of Natural Resources(自然资源学报), 2011，26(5): 881.
[3] Yang H, Kuang B, Mouazen A M. European Journal of Soil Science, 2012，63: 410.
[4] ZHANG Juan-juan, TIAN Yong-chao, YAO Xia, et al(张娟娟，田永超，姚 霞，等). Acta Pedologica Sinica(土壤学报), 2012，49(001): 50.
[5] Sinfield J V, Fagerman D, Colic O. Computers and Electronics in Agriculture, 2010，70(1): 1.
[6] LU Yan-li, BAI You-lu, WANG Lei, et al(卢艳丽，白由路，王 磊, 等). Transactions of the Chinese Society of Agricultural Engineering(农业工程学报), 2010. 26(1): 256.
[7] XU Ming-xing, ZHOU Sheng-lu, DING Wei, et al(徐明星，周生路，丁 卫，等). Transactions of the Chinese Society of Agricultural Engineering(农业工程学报), 2011，27(2): 219.
[8] Ladoni M, Bahrami H A, Alavipanah S K, et al. Precision Agriculture, 2010，11(1): 82.
[9] JI Wen-jun, SHI Zhou, ZHOU Qing, et al(纪文君，史 舟，周 清，等). Journal of Infrared and Millimeter Wave(红外与毫米波学报), 2012，31(3): 277.
[10] LU Yan-li, BAI You-lu, YANG Li-ping, et al(卢艳丽，白由路，杨俐苹，等). Plant Nutrition and Fertilizer Science(植物营养与肥料学报), 2011，17(2): 456.
[11] YANG Jian-hong, WANG Cheng-lin, DAI Heng-lin（杨剑虹，王成林，代亨林）. Soil Agr-chemistry Analysis and Environmental Monitoring(土壤农化分析与环境监测). Beijing: China Land Press(北京：中国大地出版社), 2008.
[12] TONG Qing-xi, ZHANG Bing, ZHENG Lan-fen(童庆禧，张 兵，郑兰芬). Hyperspectral Remote Sensing（高光谱遥感——原理, 技术与应用). Beijing: Higher Education Press(北京: 高等教育出版社), 2006.
[13] LI Min-zan(李民赞). Spectral Analysis Technique and its Application(光谱分析技术及其应用). Beijing: Science Press(北京：科学出版社), 2006.
[14] He Y, Huang M, García A, et al. Computers and Electronics in Agriculture, 2007，58(2): 144.
[15] HUANG Ying-feng, LIU Teng-hui(黄应丰，刘腾辉). Chinese Journal of Soil Science(土壤通报), 1989，20(4): 158.
[16] WANG Lu, LIN Qi-zhong, JIA Dong, et al(王 璐，蔺启忠，贾 东，等). Environmental Science(环境科学), 2007，28(8): 1822. |
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