潮滩含水量的临界光谱特性及反演模型研究
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摘要
以江苏川东港东南侧潮滩为研究区,通过土样采集、粒径分析、光谱测量等手段,分析了土壤含水量与光谱的关系,针对潮滩土壤含水量与光谱的二维散点形态呈"V"型分布的特点,讨论了含水量临界值的求解方法。以临界值为界,建立了高、低含水量状态的反演模型,进一步建立了兼具高、低含水量状态的综合模型。结果表明:1)潮滩土壤含水量与光谱的二维散点形态呈"V"型分布,当含水量值小于临界值,含水量与光谱呈负相关关系;当含水量值大于临界值,含水量与光谱呈正相关关系,随着波长的增加,"V"型的凹度和深度逐渐增加。2)经求导计算,临界值为32%。3)以临界含水量为界,分为低含水量段与高含水量段,分别建立含水量反演模型,预测误差分别为3.396和2.410。4)以4个波段作为参量进行逐步分析可得到与含水量具有较好单一趋势关系的波段组合形式。所建模型可以用于获取潮滩土壤含水量的空间分布,能够为研究潮滩土壤含水量与潮滩地形地貌之间的关系提供数据支持。
Tidal flat is one of the most precious natural resources,and its soil moisture content is an essential parameter in the study of the evaluation of plant and landform.Taking one piece of tidal flat as study area,which is located at the southeast of Chuandong port in the Jiangsu province,China,the relationship between spectral reflectance and soil moisture content is analyzed and the retrieval model for soil moisture is explored.1)V-type distribution is found between the soil moisture content and spectra(two-dimensional scatter form).When the soil moisture content is less than the critical value,the moisture content shows a negative correlation with the spectral reflectance,and vice versa.And the concavity and depth of the Vtype distribution increase towards longer bands.2)Through the derivative calculation,the critical value was determined to be 32%.3)Taking the critical value of soil moisture as the threshold,two retrieval models of soil moisture content were proposed for the low and high moisture content conditions,with the errors of 3.396 and 2.410,respectively.4)By performing stepwise regression analysis with four bands as parameters,a uniform retrieval model applicable to both the high and low soil moisture content conditions is proposed.The model can be used to explore the spatial distribution of soil moisture content in the tidal flat,and provide data support for the study of relationship between soil moisture content and landform of tidal flat.
Tidal flat is one of the most precious natural resources,and its soil moisture content is an essential parameter in the study of the evaluation of plant and landform.Taking one piece of tidal flat as study area,which is located at the southeast of Chuandong port in the Jiangsu province,China,the relationship between spectral reflectance and soil moisture content is analyzed and the retrieval model for soil moisture is explored.1)V-type distribution is found between the soil moisture content and spectra(two-dimensional scatter form).When the soil moisture content is less than the critical value,the moisture content shows a negative correlation with the spectral reflectance,and vice versa.And the concavity and depth of the Vtype distribution increase towards longer bands.2)Through the derivative calculation,the critical value was determined to be 32%.3)Taking the critical value of soil moisture as the threshold,two retrieval models of soil moisture content were proposed for the low and high moisture content conditions,with the errors of 3.396 and 2.410,respectively.4)By performing stepwise regression analysis with four bands as parameters,a uniform retrieval model applicable to both the high and low soil moisture content conditions is proposed.The model can be used to explore the spatial distribution of soil moisture content in the tidal flat,and provide data support for the study of relationship between soil moisture content and landform of tidal flat.
引文
[1] WANG Y,ZHU D K.Tidal flats of China[J].Quaternary Sciences,1990(4):291-300.王颖,朱大奎.中国的潮滩[J].第四纪研究,1990(4):291-300.
[2] LI L B.The research of the valuation of the tidal flat ecosystem service in Jiangsu[D].Nanjing:Nanjing Normal University,2011.李露蓓.江苏潮滩湿地生态系统服务功能价值研究[D].南京:南京师范大学,2011.
[3] KE X K.The ecological system and the exploitation model of tidal flats:a case study of the tidal flats of Dafeng County,Jiangsu Province[J].Journal of Natural Resources,1993,8(2):122-131.柯贤坤.潮滩生态特征及开发利用模式——以江苏大丰潮滩研究为例[J].自然资源学报,1993,8(2):122-131.
[4] LI H S,LIU L,WANG T,et al.Beach resources utilization and development strategy in Yancheng of Jiangsu Province[J].Research of Agricultural Modernization,2009,30(6):724-726.李洪山,刘璐,王涛,等.江苏盐城滩涂资源利用及其发展策略[J].农业现代化研究,2009,30(6):724-726.
[5] CHEN H Q.Evaluation and protection utilization of the coastline resource:as an example on Yancheng[J].Ecological Environment,2010(1):174-177.陈洪全.海岸线资源评价与保护利用研究——以盐城市为例[J].生态环境,2010(1):174-177.
[6] GU Y,ZHANG Y,LI H.Remote sensing retrieval model on soil moisture content of tidal flat based on measured spectra[J].WetlandScience,2013,11(2):167-172.顾燕,张鹰,李欢.基于实测光谱的潮滩土壤含水量遥感反演模型研究[J].湿地科学,2013,11(2):167-172.
[7] BOWERS S A,HANKS R J.Reflection of radiant energy from soils[J].Soil Science,1965,100(2):130-138.
[8] LI P,ZHAO G X,GAO M X,et al.Hyperspectral estimation and remote sensing retrieval of soil water regime in the yellow river delta[J].Acta Pedologica Sinica,2015,52(6):1262-1272.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.
[9] LI H.The study on remote sensing measurement method for the topography of intertidal zone[D].Nanjing:Nanjing Normal University,2012.李欢.潮间带露滩地形的遥感测量方法研究[D].南京:南京师范大学,2012.
[10] LIU W D.Study on extration of soil information and data mining by hyperspectral remote sensing[D].Beijing:Institute of Remote Sensing Applications Chinese Academy of Science,2002.刘伟东.高光谱遥感土壤信息提取与挖掘研究[D].北京:中国科学院研究生院遥感应用研究所,2002.
[11] ZHANG Y,ZHANG D,HU P X.Water content of soil on outcrop beach measured by remote sensing[J].Haiyang Xuebao,2008,30(5):29-34.张鹰,张东,胡平香.海岸带潮滩土壤含水量遥感测量[J].海洋学报,2008,30(5):29-34.
[12] HE T,WANG J,CHENG Y,et al.Spectral fectures of soil moisture[J].Acta Pedologica Sinica,2006,43(6):1027-1032.何挺,王静,程烨,等.土壤水分光谱特征研究[J].土壤学报,2006,43(6):1027-1032.
[13] LI J L,JIANG P,LIU P J,et al.The study on dynamic monitoring soil water contents using remote sensing optical method[J].Acta Ecologica Sinica,2003,23(8):1498-1504.李建龙,蒋平,刘培君,等.利用遥感光谱法进行农田土壤水分遥感动态监测[J].生态学报,2003,23(8):1498-1504.
[14] IDSO S B,JACKSON R D,REGINATO R J,et al.The dependence of bare soil albedo on soil water content[J].Journal of Applied Meteorology,1975,14(1):109-113.
[15] MULLER E,DCAMPS H.Modeling soil moisture-reflectance[J].Remote Sensing of Environment,2001,76(2):173-180.
[16] WEI N.The study of applying hyper-spectral remote sensing technology in soil moisture monitoring[D].Beijing:Chinese Academy of Agricultural Sciences,2009.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.
[17] NEEMA D L,SHAH AJAY,PATEL A N.A statistical optical model for light reflection and penetration through sand[J].International Journal of Remote Sensing,1987,8(8):1209-1217.
[18] DENG R R,TIAN G L,LIU Q H,et al.Research on remote sensing model for soil water on rough surface[J].Journal of Remote Sensing,2004,8(1):75-80.邓孺孺,田国良,柳钦火,等.粗糙地表土壤含水量遥感模型研究[J].遥感学报,2004,8(1):75-80.
[19] LIU W D,BARET F,GU X F,et al.Relating soil surface moisture to reflectance[J].Remote Sensing of Environment,2002,81(2/3):238-246.
[20] WANG Y.The environment and resources of the radial sand ridges in southern yellow sea[M].Beijing:China Ocean Press,2014.王颖.南黄海辐射沙脊群环境与资源[M].北京:海洋出版社,2014.
[21] SHEPARD F P.Nomenclature based on sand-silt-clay ratios[J].Journal of Sedimentary Research,1954,24(3):151-158.
[22] WEI F J.Research on band selection for hyperspectral imagery[D].Harbin:Harbin Engineering University,2013.魏芳洁.高光谱图像波段选择方法的研究[D].哈尔滨:哈尔滨工程大学,2013.
[23] WILLIAM A J,GARDNER W R,GARDNER W H.Soil physics[M].New York,USA:John Wiley,1991:24.
[24] REN M E.The comprehensive survey of coastal zone and beach resources in Jiangsu Province[M].Beijing:China Ocean Press,1986.任美锷.江苏省海岸带和海涂资源综合调查[M].北京:海洋出版社,1986.
[25] ZHANG C K.The general report on comprehensive offshore ocean investigation and evaluation of Jiangsu[M].Beijing:Science Press,2012.张长宽.江苏近海海洋综合调查与评价总报告[M].北京:科学出版社,2012.
[26] LI H,ZHANG C,ZHANG Y,et al.Predicting water content using linear spectral mixture model on soil spectra[J].Journal of Applied Remote Sensing,2013,7(1):073539.
[27] LI H,ZHANG D,ZHANG Y.The study on a surface sediment classification method by weakening moisture influence in intertidal zone using remote sensing[J].Haiyang Xuebao,2012,34(6):84-93.李欢,张东,张鹰.削弱水分影响的潮滩表层沉积物遥感分类方法研究[J].海洋学报,2012,34(6):84-93.
[2] LI L B.The research of the valuation of the tidal flat ecosystem service in Jiangsu[D].Nanjing:Nanjing Normal University,2011.李露蓓.江苏潮滩湿地生态系统服务功能价值研究[D].南京:南京师范大学,2011.
[3] KE X K.The ecological system and the exploitation model of tidal flats:a case study of the tidal flats of Dafeng County,Jiangsu Province[J].Journal of Natural Resources,1993,8(2):122-131.柯贤坤.潮滩生态特征及开发利用模式——以江苏大丰潮滩研究为例[J].自然资源学报,1993,8(2):122-131.
[4] LI H S,LIU L,WANG T,et al.Beach resources utilization and development strategy in Yancheng of Jiangsu Province[J].Research of Agricultural Modernization,2009,30(6):724-726.李洪山,刘璐,王涛,等.江苏盐城滩涂资源利用及其发展策略[J].农业现代化研究,2009,30(6):724-726.
[5] CHEN H Q.Evaluation and protection utilization of the coastline resource:as an example on Yancheng[J].Ecological Environment,2010(1):174-177.陈洪全.海岸线资源评价与保护利用研究——以盐城市为例[J].生态环境,2010(1):174-177.
[6] GU Y,ZHANG Y,LI H.Remote sensing retrieval model on soil moisture content of tidal flat based on measured spectra[J].WetlandScience,2013,11(2):167-172.顾燕,张鹰,李欢.基于实测光谱的潮滩土壤含水量遥感反演模型研究[J].湿地科学,2013,11(2):167-172.
[7] BOWERS S A,HANKS R J.Reflection of radiant energy from soils[J].Soil Science,1965,100(2):130-138.
[8] LI P,ZHAO G X,GAO M X,et al.Hyperspectral estimation and remote sensing retrieval of soil water regime in the yellow river delta[J].Acta Pedologica Sinica,2015,52(6):1262-1272.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.
[9] LI H.The study on remote sensing measurement method for the topography of intertidal zone[D].Nanjing:Nanjing Normal University,2012.李欢.潮间带露滩地形的遥感测量方法研究[D].南京:南京师范大学,2012.
[10] LIU W D.Study on extration of soil information and data mining by hyperspectral remote sensing[D].Beijing:Institute of Remote Sensing Applications Chinese Academy of Science,2002.刘伟东.高光谱遥感土壤信息提取与挖掘研究[D].北京:中国科学院研究生院遥感应用研究所,2002.
[11] ZHANG Y,ZHANG D,HU P X.Water content of soil on outcrop beach measured by remote sensing[J].Haiyang Xuebao,2008,30(5):29-34.张鹰,张东,胡平香.海岸带潮滩土壤含水量遥感测量[J].海洋学报,2008,30(5):29-34.
[12] HE T,WANG J,CHENG Y,et al.Spectral fectures of soil moisture[J].Acta Pedologica Sinica,2006,43(6):1027-1032.何挺,王静,程烨,等.土壤水分光谱特征研究[J].土壤学报,2006,43(6):1027-1032.
[13] LI J L,JIANG P,LIU P J,et al.The study on dynamic monitoring soil water contents using remote sensing optical method[J].Acta Ecologica Sinica,2003,23(8):1498-1504.李建龙,蒋平,刘培君,等.利用遥感光谱法进行农田土壤水分遥感动态监测[J].生态学报,2003,23(8):1498-1504.
[14] IDSO S B,JACKSON R D,REGINATO R J,et al.The dependence of bare soil albedo on soil water content[J].Journal of Applied Meteorology,1975,14(1):109-113.
[15] MULLER E,DCAMPS H.Modeling soil moisture-reflectance[J].Remote Sensing of Environment,2001,76(2):173-180.
[16] WEI N.The study of applying hyper-spectral remote sensing technology in soil moisture monitoring[D].Beijing:Chinese Academy of Agricultural Sciences,2009.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.
[17] NEEMA D L,SHAH AJAY,PATEL A N.A statistical optical model for light reflection and penetration through sand[J].International Journal of Remote Sensing,1987,8(8):1209-1217.
[18] DENG R R,TIAN G L,LIU Q H,et al.Research on remote sensing model for soil water on rough surface[J].Journal of Remote Sensing,2004,8(1):75-80.邓孺孺,田国良,柳钦火,等.粗糙地表土壤含水量遥感模型研究[J].遥感学报,2004,8(1):75-80.
[19] LIU W D,BARET F,GU X F,et al.Relating soil surface moisture to reflectance[J].Remote Sensing of Environment,2002,81(2/3):238-246.
[20] WANG Y.The environment and resources of the radial sand ridges in southern yellow sea[M].Beijing:China Ocean Press,2014.王颖.南黄海辐射沙脊群环境与资源[M].北京:海洋出版社,2014.
[21] SHEPARD F P.Nomenclature based on sand-silt-clay ratios[J].Journal of Sedimentary Research,1954,24(3):151-158.
[22] WEI F J.Research on band selection for hyperspectral imagery[D].Harbin:Harbin Engineering University,2013.魏芳洁.高光谱图像波段选择方法的研究[D].哈尔滨:哈尔滨工程大学,2013.
[23] WILLIAM A J,GARDNER W R,GARDNER W H.Soil physics[M].New York,USA:John Wiley,1991:24.
[24] REN M E.The comprehensive survey of coastal zone and beach resources in Jiangsu Province[M].Beijing:China Ocean Press,1986.任美锷.江苏省海岸带和海涂资源综合调查[M].北京:海洋出版社,1986.
[25] ZHANG C K.The general report on comprehensive offshore ocean investigation and evaluation of Jiangsu[M].Beijing:Science Press,2012.张长宽.江苏近海海洋综合调查与评价总报告[M].北京:科学出版社,2012.
[26] LI H,ZHANG C,ZHANG Y,et al.Predicting water content using linear spectral mixture model on soil spectra[J].Journal of Applied Remote Sensing,2013,7(1):073539.
[27] LI H,ZHANG D,ZHANG Y.The study on a surface sediment classification method by weakening moisture influence in intertidal zone using remote sensing[J].Haiyang Xuebao,2012,34(6):84-93.李欢,张东,张鹰.削弱水分影响的潮滩表层沉积物遥感分类方法研究[J].海洋学报,2012,34(6):84-93.