Research Progress on Soil Nutrient Information Extraction Based on Hyperspectral Remote Sensing Data

doi:10.11924/j.issn.1000-6850.2013-2857

Abstract

Abstract: This paper mainly used hyperspectral remote sensing techniques to extract information progress of soil characteristics, discussed the current domestic and foreign scholars research hyperspectral remote sensing technology to obtain soil information, problems and outlook. Studies showed that: the application of hyperspectral remote sensing technology in terms of analysis, simulation, evaluation and prediction of soil characteristic parameters promoted the usage of hyperspectral remote sensing technology in the process of remote sensing diagnosis of farmland soil, offering technical support in space distribution monitoring and the management of water and fertilization. Meanwhile the course of quantitative evaluation research was promoted and the application of remote sensing technology in scientific crop plantation and crop condition monitoring was realized. This, therefore, it provided precision agriculture in Xinjiang with scientific evidence.

References

[1] 刘伟东.高光谱遥感信息提取与挖掘研究[D].北京:中国科学院, 2002:1-141.
[2] 刘良云.高光谱遥感在精准农业中的应用研究[R].中国科学院遥感应用研究所博士后出站报告,2002:38-45.
[3] 郑兰芬,童庆禧,王晋年,等.高光谱分辨率遥感进展，遥感科学进展[M].北京:科学出版社,1995:1-175.
[4] Gunsaulis E R, Kocher M F, Griffis C L. Surface structure effects on close-range reflectance a function of soil organic matter content [J].Tranctions of the ASAE,1991,34(2):641-649.
[5] Karnieli A, Verchovsky I, Hall J K, et al. Geographic information system for semidetailed mapping of soils in semi- arid region[J]. Geo-carto International,1998,13(3):29-43.
[6] Krishnan. Reflectance technique for predicting soil organic matter [J].Soil Sci.Soc Am.J,1984,44:1282-1285.
[7] 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.
[8] 沙晋明,陈鹏程,陈松林.土壤有机质光谱响应的特征研究[J].水土保持研究,2003,10(2):21-25.
[9] 谢伯承,薛绪掌.基于包络线法对土壤光谱特征的提取及其分析[J].土壤学报,2005,42:171-175.
[10] 刘焕军,张柏,赵军等.黑土有机质含量高光谱模型研究[J].土壤学报,2007,44:27-32.
[11] 贺军亮,蒋建军,周生路,等.土壤有机质含量的高光谱特性及其反演[J].中国农业科学,2007,40(3):638-643.
[12] 卢艳丽.东北平原土壤有机质及主要养分高光谱定量反演[D].北京:中国农科院,2007:31-37.
[13] 王静,何挺,李玉环,等.基于高光谱遥感技术的土地质量信息挖掘研究[J].遥感学报,2005,9(4):438-445.
[14] Bowers S A, Smith S J. Spectrrophotometric determination of soilwater content[J].Soil Science Society of America Proceedings, 1972,36:978-980.
[15] Baumgardner, M.F.L.F. Silva.L., E.R.Stoner. Reflectance properties of soil[J].Advances in Agronomy,1985,38:1-44.
[16] Ben Dor E, Banin A. Several soil properties[J].Near- infrared analysis as a rapid method to Soil Science Society of America Journal,1995,59:364-372.
[17] Chodak M, Ludwig B, Khanna P, et al. Use of near infrared spectroscopy to Determine biological and chemical characteristics of organic layers under spruce and beech stands[J].Joumal of Plant Nutrition and Soil Science,2002,165:27-33.
[18] 彭玉魁,张建新,何绪生,等.土壤水分、有机质和总氮含量的近红外光谱分析研究[J].土壤学报,1998,35:554-559.
[19] 徐永明,蔺启忠,黄秀华,等.利用可见光/近红外反射光谱估算土壤总氮含量的实验研究[J].地理与地理信息科学,2005,21(1):19-22.
[20] 宋海燕.基于光谱技术的土壤、作物信息获取及其相互关系的研究[D].浙江大学.2005:1-130.
[21] 李伟,张书慧,张倩,等.近红外光谱法快速测定土壤碱解氮、速效磷和速效钾含量[J].农业工程学报,2007,23(1):55-59.
[22] 于飞健,闵顺耕,巨晓棠,等.近红外光谱法分析土壤中的有机质和氮素[J].分析试验室,2002,21(3):49-51.
[23] 魏娜,姚艳敏,陈佑启.高光谱遥感土壤质量信息监测研究进展[J].中国农学通报,2010,10(5):491-496.
[24] 何挺,王静,程烨,等.土壤氧化铁光谱特征研究[J].地理与地理信息科学,2006,22(2):30-34.
[25] 周萍.高光谱土壤成分信息的量化反演[D].北京:中国地质大学, 2006:65-71.
[26] 谢伯承.土壤参数的光谱实时分析[J].干旱地区农业研究,2005,23 (3):54-57.
[27] 张华安,朱永豪.土壤中粘土矿物的反射光谱定量分析[J].国土资源遥感,1994,20(2):1-4.
[28] 吴的昭,田庆久,陈骏,等.遥感地球化学研究[J].地球科学进展, 2003,18(2):228-235.
[29] 季耿善,徐彬彬.土壤粘土矿物反射特性及其在土壤学上的应用[J].土壤学报,1987,24(1):67-76.
[30] 徐彬彬.土壤光谱反射特性与理化性状的相关分析[A].土壤专报[C].北京:科学出版社,1986:1-6.
[31] 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.
[32] 童庆禧,郑兰芬.高光谱遥感发展现状[J].中科院遥感所遥感信息科学开放研究实验室年报,1999:246-258.
[33] 金继运,自由路.精准农业与上壤养分的管理[M].北京:中国大地出版社,2001:1-50.
[34] 刘金桐,谢高地,赵千钧,等.精准农业概论[M].北京:气象出版社, 2002:1-220.
[35] 陈述彭.遥感在农业科学技术中的应用[A].地学的探索,第三卷,遥感应用[M].北京:科学出版社,1990:20-32.
[36] 祁亚琴.基于高光谱数据提取棉花冠层特征信息的研究[D].石河子:石河子大学,2006:1-50.