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JOURNAL OF DESERT RESEARCH  2014, Vol. 34 Issue (5): 1320-1328    DOI: 10.7522/j.issn.1000-694X.2013.00231
    
Hyperspectral Reflectance Inversion Models on Content of N, P, K of Soil in Oasis-Desert Ecotone
Luan Fuming1,2, Xiong Heigang3, Wang Fang1,2, Zhang Fang4
1. Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China;
2. University of Chinese Academy of Sciences, Beijing 100049, China;
3. College of Art and Science, Beijing Union University, Beijing 100083, China;
4. College of Resources and Environment Science, Xinjiang University, Urumqi 830046, China
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Abstract  With 75 soil samples collected in Qitai County,Xinjiang, the spectral reflectance (R), logarithm of reciprocal spectral reflectance (lg(1/R)), first derivative spectral reflectance(FDR)and spectral band depth(Depth)were used to analyze the relationship between the visible-near infrared (VNIR) spectrum and the content of the nutrient elements N、P、K of the soil. Prediction models were established with tested precision levels. The results showed that: the VNIR had great potential to estimate rapidly three nutrient elements content of soil, and the order of prediction accuracy values for the nutrient elements was: N>P>K. The inversion model accuracy varied on different spectral indicators, and the predictive effect for Depth and FDR were obviously superior to lg (1/R) and R. The fitting effect of N and P elements was: lg(1/R)<R<FDR<Depth, and the inversion models established by the index of Depth were the best for N and P; while the inversion accuracy value for K element was: lg(1/R)<R<Depth<FDR, and the inversion model established by the index of FDR was optimal for K.
Key words:  soil spectrum      nutrient elements      inversion model      Qitai County     
Received:  03 March 2013      Published:  20 September 2014
ZTFLH:  S151.9  

Cite this article: 

Luan Fuming, Xiong Heigang, Wang Fang, Zhang Fang. Hyperspectral Reflectance Inversion Models on Content of N, P, K of Soil in Oasis-Desert Ecotone. JOURNAL OF DESERT RESEARCH, 2014, 34(5): 1320-1328.

URL: 

http://www.desert.ac.cn/EN/10.7522/j.issn.1000-694X.2013.00231     OR     http://www.desert.ac.cn/EN/Y2014/V34/I5/1320

[1] Krishnan P,Alexander J D,Butler B J,et al.Reflectance technique for predicting soil organic matter[J].Soil Science Society of America Journal,1980,44:1282-1285.
[2] Shepherd K D,Walsh M G.Development of reflectance spectral libraries for characterization of soil properties[J].Soil Science Society of America Journal,2002,66:988-998.
[3] Dalal R C,Henry R J.Simultaneous determination of moisture,organic carbon,and total nitrogen by near infrared reflectance spectrophotometry[J].Soil Science Society of America Journal,1986,50:120-123.
[4] Ben Dor E,Banin A.Near infrared analysis as a rapid method to simultaneously evaluate several soil properties[J].Soil Science Society of America Journal,1995,59(2):364-372.
[5] Cohen M J,Prenger J P,DeBusk W F.Visible near infrared reflectance spectroscopy for rapid,nondestructive assessment of wetland soil quality[J].Journal of Environmental Quality,2005,34(4):1422-1434.
[6] 徐金鸿,徐瑞松,夏斌,等.土壤遥感监测研究进展[J].水土保持研究,2006,13(2):17-20.
[7] 高祥照,胡克林,郭焱,等.土壤养分与作物产量的空间变异特征与精确施肥[J].中国农业科学,2002,35(6):660-666.
[8] 张芳,熊黑钢,栾福明,等.土壤碱化的实测光谱响应特征[J].红外与毫米波学报,2011,30(1):55-60.
[9] Galvo L S,Vitorello í.Variability of laboratory measuredsoil lines of soils from southeastern Brazil[J].Remote Sensing of Environment,1998,63(2):166-181.
[10] 徐彬彬,戴昌达.南疆土壤光谱反射特性与有机质含量的相关分析[J].科学通报,1980,(6):282-284.
[11] 周萍,王润生,阎柏琨,等.高光谱遥感土壤有机质信息提取研究[J].地理科学进展,2008,27(5):27-34.
[12] Stoner E R,Baungardner M F.Characteristic variations in reflectance of surface soils[J].Soil Science Society of America Journal,1981,45:1161-1165.
[13] 戴昌达.土壤学中遥感应用的回顾与展望[J].土壤通报,1985,16(1):44-48.
[14] 童庆禧.中国典型地物波谱及其特征分析[M].北京:科学出版社,1990:611-618.
[15] 沙晋明,陈鹏程,陈松林,等.土壤有机质光谱响应特性研究[J].水土保持研究,2003,10(2):21-24.
[16] 徐金鸿,徐瑞松,夏斌,等.土壤遥感监测研究进展[J].水土保持研究,2006,13(2):17-20.
[17] 何挺,王静,林宗坚,等.土壤有机质光谱特征研究[J].武汉大学学报(信息科学版),2006,31(11):975-979.
[18] 栾福明,张小雷,熊黑钢,等.基于不同模型的土壤有机质含量高光谱反演比较分析[J].光谱学与光谱分析,2013,33(1):196-200.
[19] 刘焕军,张柏,刘殿伟,等.松嫩平原典型土壤高光谱定量遥感研究[J].遥感学报,2008,12(4):647-654.
[20] 李宝富,熊黑钢,龙桃,等.新疆奇台绿洲农田灌溉前后土壤水盐时空变异性研究[J].中国沙漠,2012,32(5):1369-1378.
[21] 王璐,蔺启忠,贾东,等.基于反射光谱预测土壤重金属元素含量的研究[J].遥感学报,2007,11(6),906-913.
[22] 赵哈林,赵学勇,张铜会,等.我国西北干旱区的荒漠化过程及其空间分异规律[J].中国沙漠,2011,31(1):1-8.
[23] 唐启义,冯明光.DPS数据处理系统[M].北京:科学出版社,2007:901-953.
[24] 宋志刚,谢蕾蕾,何旭洪.SPSS16.0 实用教程[M].北京:人民邮电出版社,2008,126-240.
[25] 李海英.土壤属性的高光谱遥感方法研究[D].北京:中国科学院研究生院,2007.
[26] Demattej A M,Garcia G J.Alteration of soil properties through a weathering sequence as evaluated by spectral reflectance[J].Soil Science Society of America Journal,1999,63:327-342.
[27] Reeves Ⅲ J B,McCarty G W,Meisenger J J.Near infrared reflectance spectroscopy for the analysis of agricultural soils[J].Journal of Near Infrared Spectroscopy,1999,7:179-193.
[28] 史吉平,张夫道,林葆.长期定位施肥对土壤腐殖质理化性质的影响[J].中国农业科学,2002,35(2):174-180.
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