高光谱遥感技术在土壤研究应用中的进展
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摘要
土壤反射光谱的特性和土壤物理性质之间的关系,为遥感技术在土壤中应用奠定了坚实的物理基础。此外,高光谱遥感技术的迅猛发展为快速、高效提取土壤信息提供了科学的技术手段。针对高光谱在土壤中的应用情况,首先对高光谱遥感的发展历程、特点以及优势进行总结阐述,然后分别总结高光谱遥感在土壤有机质、含水量、重金属及土壤质地等方面中的应用现状,并对其研究方法进行总结分析,最后探讨高光谱遥感技术在土壤研究应用中在研究方法和时间、空间尺度上的不足以及今后高光谱遥感在土壤研究中的发展方向。
The relationship between the characteristics of soil reflectance spectra and the physical properties of soil lays a solid foundation for the application of remote sensing technology in soil.In addition,the rapid development of hyperspectral remote sensing technology provides scientific and technological means for extracting soil information quickly and efficiently.In view of the application of hyperspectral in soil,this paper firstly summarized the development history,characteristics and advantages of hyperspectral remote sensing,and then summarized the hyperspectral remote sensing in the fields of soil organic matter,water content,heavy metals and soil texture.The application status and the research methods were summarized.Finally,the shortcomings of the hyperspectral remote sensing technology in the research methods and time and space scales in soil research applications and the future development of hyperspectral remote sensing in soil research were analyzed.
The relationship between the characteristics of soil reflectance spectra and the physical properties of soil lays a solid foundation for the application of remote sensing technology in soil.In addition,the rapid development of hyperspectral remote sensing technology provides scientific and technological means for extracting soil information quickly and efficiently.In view of the application of hyperspectral in soil,this paper firstly summarized the development history,characteristics and advantages of hyperspectral remote sensing,and then summarized the hyperspectral remote sensing in the fields of soil organic matter,water content,heavy metals and soil texture.The application status and the research methods were summarized.Finally,the shortcomings of the hyperspectral remote sensing technology in the research methods and time and space scales in soil research applications and the future development of hyperspectral remote sensing in soil research were analyzed.
引文
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[39] 谭琨,张倩倩,曹茜,等.基于粒子群优化支持向量机的矿区土壤有机质含量高光谱反演[J].地球科学:中国地质大学学报,2015,40(8):1339-1345.
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[42] 叶勤,姜雪芹,李西灿,等.基于高光谱数据的土壤有机质含量反演模型比较[J].农业机械学报,2017,48(3):164-172.
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[2] 徐彬彬.土壤剖面的反射光谱研究[J].土壤,2000(6):281-287.
[3] 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.
[4] 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,2008,24(10):491-496.
[5] 吴良超,刘晓,高佩玲.高光谱遥感在土壤研究中的应用[J].安徽农业科学,2013,41(2):581-582,598.
[6] 童庆禧,张兵,郑兰芬.高光谱遥感:原理、技术与应用[M].北京:高等教育出版社,2006.
[7] 浦瑞良,宫鹏.高光谱遥感及其应用[M].北京:高等教育出版社,2000.
[8] VINCENT R K.Fundamentals of geological and environmental remote sensing[M].New York:Prentice Hall,1977:1-366.
[9] 杨国鹏,余旭初,冯伍法,等.高光谱遥感技术的发展与应用现状[J].测绘通报,2008(10):1-4.
[10] BOVENSMANN H,BURROWS J P,BUCHWITZ M,et al.Sciamachy:Mission objectives and measurement modes[J].J Atmos Sci,1999,56(2):127-150.
[11] SHIMODA H.Overview of Japanese Earth observation programe[C].SPIE,2009.
[12] 童庆禧,张兵,张立福.中国高光谱遥感的前沿进展[J].遥感学报,2016,20(5):689-707.
[13] 张卡,盛业华,张书毕.遥感新技术的若干进展及其应用[J].遥感信息,2004(2):58-62.
[14] 杨国鹏,余旭初,冯伍法,等.高光谱遥感技术的发展与应用现状[J].测绘通报,2008(10):1-4.
[15] 路威.面向目标探测的高光谱影像特征提取与分类技术研究[D].郑州:中国人民解放军信息工程大学,2005.
[16] 余旭初,冯伍法,林丽霞.高光谱——遥感测绘的新机遇[J].测绘科学技术学报,2006,23(2):101-105.
[17] O’NEAL A M.The effect of moisture on the color of certain Iowa soils [J].American soil survey association bulletin,1927(B8):158-174.
[18] 方少文,杨梅花,赵小敏,等.红壤区土壤有机质光谱特征与定量估算:以江西省吉安县为例[J].土壤学报,2014,51(5):1003-1010.
[19] ANNE N J P,ABD-ELRAHMAN A H,LEWIS D B,et al.Modeling soil parameters using hyperspectral image reflectance insubtropical coastal wetlands[J].International journal of applied earth observation and geoinformation,2014,33(11):47-56.
[20] 王祥峰,蒙继华.基于HJ-1卫星的农田土壤有机质含量监测[J].农业工程学报,2014,30(8):101-108.
[21] LIU S L,AN N N,YANG J J,et al.Prediction of soil organic matter variability associated with different land use types in mountainous landscape in southwestern Yunnan province,China[J].Catena,2015,133(10):137-144.
[22] LIU F,ROSSITER D G,SONG X D,et al.A similarity-based method for three-dimensional prediction of soil organic matter concentration[J].Geoderma,2015,263(1):254-263.
[23] 李超,刘兆刚,岳树峰,等.基于激光雷达数据的森林表层土壤有机质空间格局反演[J].应用生态学报,2012,23(9):2451-2458.
[24] 袁征,李希灿,于涛,等.高光谱土壤有机质估测模型对比研究[J].测绘科学,2014,39(5):117-120,164.
[25] AL-ABBAS A H,SWAIN P H,BAUMGARDER M F.Relating organic matter and clay content to the multispectral radiance of soils[J].Soil science,1972,114(6):477-485.
[26] 韩兆迎,朱西存,刘庆,等.黄河三角洲土壤有机质含量的高光谱反演[J].植物营养与肥料学报,2014,20(6):1545-1552.
[27] 王玉华,杨小霞,王克如,等.新疆不同类型土壤有机质含量的高光谱监测[J].新疆农垦科技,2016,39(11):55-57.
[28] 余凡,赵英时.ASAR和TM数据协同反演植被覆盖地表土壤水分的新方法[J].中国科学:地球科学,2011,41(4):532-540.
[29] 魏娜.土壤含水量高光谱遥感监测方法研究[D].北京:中国农业科学院,2009.
[30] 李晨,张国伟,周治国,等.滨海盐土土壤水分的高光谱参数及估测模型[J].应用生态学报,2016,27(2):525-531.
[31] 刘洋,丁潇,刘焕军,等.黑土土壤水分反射光谱特征定量分析与预测[J].土壤学报,2014,51(5):1021-1026.
[32] PINHEIRO é E M,CEDDIA M B,CLINGENSMITH C M,et al.Prediction of soil physical and chemical properties by visible and near-infrared diffuse reflectance spectroscopy in the central amazon [J].Remote sensing,2017,9(4):1-22.
[33] GANNOUNI S,REBAI N,ABDELJAOUED S.A spectroscopic approach to assess heavy metals contents of the mine waste of Jalta and Bougrine in the North of Tunisia [J].Journal of geographic information system,2012,4(3):242-253.
[34] 程先锋,宋婷婷,陈玉,等.滇西兰坪铅锌矿区土壤重金属含量的高光谱反演分析[J].岩石矿物学杂志,2017,36(1):60-69.
[35] 杨雪红.土壤粒径对土壤光谱特征的影响[J].科技信息,2010(25):390-391,154.
[36] BOWERS S A,HANKS R J.Reflectance of radiant energy from soils[J].Soil science,1965,100(2):130-138.
[37] 李春蕾,许端阳,陈蜀江.基于高光谱遥感的新疆北疆地区土壤砂粒含量反演研究[J].干旱区地理,2012,35(3):473-478.
[38] 马创,申广荣,王紫君,等.不同粒径土壤的光谱特征差异分析[J].土壤通报,2015,46(2):292-298.
[39] 谭琨,张倩倩,曹茜,等.基于粒子群优化支持向量机的矿区土壤有机质含量高光谱反演[J].地球科学:中国地质大学学报,2015,40(8):1339-1345.
[40] HUMMEL J W,SUDDUTH K A,HOLLINGER S E.Soil moisture and organic matter prediction of surface and subsurface soils using an NIR soil sensor[J].Computers and electronics in agriculture,2001,32(2):149-165.
[41] 李胜男,曹萌萌,李盛楠,等.黑土典型区有机质高光谱预测模型[J].国土与自然资源研究,2016(4):73-76.
[42] 叶勤,姜雪芹,李西灿,等.基于高光谱数据的土壤有机质含量反演模型比较[J].农业机械学报,2017,48(3):164-172.
[43] VISCARRA ROSSEL R A,BUI E N,CARITAT P,et al.Mapping iron oxides and the color of Australian soil using visible-near-infraed reflectance spectra[J].Journal of geophysical research,2010,115:1-13.
[44] 李萍.黄河三角洲土壤含水量状况的高光谱估测与遥感反演[D].泰安:山东农业大学,2016.
[45] 马明德,马学娟,谢应忠,等.宁夏生态足迹影响因子的偏最小二乘回归分析[J].生态学报,2014,34(3):682-689.
[46] 汤娜,张新乐,刘焕军,等.土壤有机质与水分反射光谱响应特征综合作用模拟[J].土壤通报,2013,44(1):72-76.
[47] PENJ J,SHEN H,HE S W,et al.Soil moisture retrieving using hyperspectral data with the application of wavelet analysis [J].Environ Earth Sci,2013,69(1):279-288.
[48] 李萍,赵庚星,高明秀,等.黄河三角洲土壤含水量状况的高光谱估测与遥感反演[J].土壤学报,2015,52(6):1262-1272.
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