Original Articles

Extr action of Soil Organic Matter Information by Hyper spectr al Remote Sensing

  • 1. School of Earth Science and Resources,China Univercity of Geosciences,Beijing 100083, China;
    2. China Aero Geophysical Survey and Remote Sensing Center for Land and Resources,Beijing 100083, China

Received date: 2008-02-01

  Revised date: 2008-07-01

  Online published: 2008-09-25


This paper reported research conducted to document the ability of the OMIS- 1 (400- 2500nm) reflectance sensor and the spectrophotometer ASD FieldSpec FR to predict soil organic matter (SOM) of surface soil, and correspondingly to achieve SOM mapping. Data acquired from field survey and hyperspectral airborne sensor were precessed to determine the surface soil characteristic of an agricultural area located in Dongliang village, Zhaoyuan of Shandong province. The method adopted was based on correlation and a forward stepwise multiple linear regression analysis linking SOM content. The results showed that SOM could be well evaluated by the logarithm 1st differential reflectivity using linear regression model. This model would be available for evaluating and predicting soil organic matter by spectral reflectance and would provide guidance for the management of SOMand the prediction of fertility in precision agriculture.

Cite this article

ZHOU Ping, WANG Runsheng, YAN Bokun, YANG Suming, WANG Qinghua . Extr action of Soil Organic Matter Information by Hyper spectr al Remote Sensing[J]. PROGRESS IN GEOGRAPHY, 2008 , 27(5) : 27 -34 . DOI: 10.11820/dlkxjz.2008.05.004


[1] 徐彬彬等. 中国陆地背景和土壤光谱反射特性的地理 分区的初步研究. 环境遥感, 1991, 6: 142~151.

[2] Bowers S, Hanks R J. Reflectance of radiant energy from soil. Soil Sci., 1965, 100: 130~138.

[3] Morra M J, Hall M H, Freeborn L L. Carbon and nitrogen analysis of soil fraction using near - infrared reflectance spectroscopy. Soil Sci.Soc.Am.J., 1991, 55: 288~291.

[4] Reeves J, Mccarty G. The potential of NIRS as a tool for spatial mapping of soil compositions. In: Near Infrared Reflectance International Conference Proceedings, July 6, 1999.

[5] Toure S, Tychon B. Airborne hyperspectral measurements and superficial soil organic matter. The Airborne Imagine Spectroscopy Workshop - Bruges, 8 October, 2004.

[6] 鲍士旦. 土壤农化分析. 北京:中国农业出版社, 2000.

[7] Zhi Huang, Brian J Turner, Stephen J, et al. Eastimating foliage nitrogen concentration from HYMAP data using continuum removal analysis. Remote Sensing of Environment, 2004, 93: 18~29.

[8] 周清, 周斌等. 成土母质对水稻土高光谱特性及其有 机质含量光谱参数模型影响的初步研究. 土壤学报, 2004, 41( 6) : 905~911.

[9] Krishnan P, Alexander J D, Butlerb B J, et al. Reflectance technique for predicting soil organic matter Soil Sci. Soc. Am.J. , 1980 , 44: 1282~1285.

[10] Al - Abbas A H, Swain P H, Baumgardner M F. Relating organic matter and clay content to the multispectral radiance of soils. Soil Sci. , 1972, 114(6): 447~485.

[11] Stoner E R, Baumgardner M F. Characteristic variations in reflectance of surface soil. Soil Sci. Soc. Am. J., 1981, 45: 1161~1165 .

[12] Dala R C. Simultaneous determination of moisture, organic carbon, and total nitrogen by near infrared reflectance spectrophotometry. Soil Sci. Soc. Am. J., 1986, 50: 120~ 123.

[13] Dematte J A M, Garcia G J. Alteration of soil properties throuh a weathering sequence as evaluated by spectral reflectance . Soil Sci. Soc. Am. J., 1999, 63: 327~342.

[14] Sudduth K A, Hummel J W. Soil organic matter, CEC, and moisture sensing with portable NIR spectrpphotometer. Transaction of the ASAE , 1993, 36(6): 1571~1582.

[15] Li M Z. Evaluating soil parameters with visible spectroscopy. Transaction of the ASAE, 2003, 19(5): 36~41.

[16] Sudduth K A, Hummel J W. Portable near infrared spectrophotometer for rapid analysis. Trans. ASAE, 1993, 36 (1): 187~195.

[17] 刘伟东. 高光谱遥感土壤信息的提取与挖掘. 北京: 中 国科学院遥感所, 2002.

[18] 徐彬彬, 戴昌达. 南疆土壤光谱反射特征与有机质含量 的相关分析. 科学通报, 1980, 6~282.

[19] 徐彬彬. 土壤光谱反射特征与理化性状的相关分析. 宁 芜土壤遥感专集. 北京: 科学出版社, 1987. 66~76.

[20] 徐彬彬. 土壤剖面的反射光谱研究. 土壤学报, 2002, 32 ( 6) : 281~287.

[21] 谢伯承等. 基于包络线法土壤光谱特征的提取与分析. 土壤学报, 1998, 35( 4) : 554~559.

[22] 谢伯承, 薛绪掌等. 土壤参数的光谱实时分析. 干旱地 区农业研究期刊, 2005, 23~33.