基于Albedo-MSAVI特征空间的渭库绿洲土壤盐渍化研究
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摘要
选取新疆塔里木河流域渭库绿洲为研究区,以landsat 8 OLI和野外调查为基础数据,分析盐渍化土壤与反照率(Albedo)和修改型土壤调节植被指数(MSAVI)的关系,并提出Albedo-MSAVI特征空间概念,构建监测土壤盐渍化不同指数模型SDI。结果表明:Albedo-MSAVI特征空间分布呈现明显的规律性,即地表反照率与修改型土壤调节植被指数在第1象限呈双曲线分布,且盐渍化与非盐渍化土壤分异明显;SDI模型与土壤含盐量的决定系数为0.96,能够较好地反映绿洲盐渍化情况;不同盐渍化程度的SDI平均差异与非盐渍化SDI平均差异特征明显,其差值为0.12~0.34。因此SDI指数可以作为盐渍化信息快速提取的指标,且SDI模型的构建有利于干旱区大尺度定量监测和评价土壤盐渍化工作。
This paper selects Weiku Oasis in Xinjiang Tarim River Basin as the object of the study area. We analyze the relation between the soil salinization,albedo and the modified type of soil adjusting the vegetation index( MSAVI) based on the Landsat 8 OLI and field investigation. Then it puts forward the feature space concept of Albedo-MSAVI and builds the SDI model of different indexes to monitor the soil salinization. The result indicates that Albedo-MSAVI feature spatial distribution shows obvious regularity: soil salinization and vegetation coverage hyperbolic distribution in the first quadrant,and the differentiations between saliferous soil and no salt soil are obvious. SDI model and soil salt content of the correlation coefficient is 0.96,which can show the oasis salinization well. SDI of average characteristic differences between the saliferous degrees and no salt is obvious,the discrepancies are between 0.12 ~ 0.34. So SDI index can be used as the indicator to extract salinization information fast,and the construction of SDI model is helpful for of quantitative supervision and evaluation work of soil salinization in the large arid areas.
This paper selects Weiku Oasis in Xinjiang Tarim River Basin as the object of the study area. We analyze the relation between the soil salinization,albedo and the modified type of soil adjusting the vegetation index( MSAVI) based on the Landsat 8 OLI and field investigation. Then it puts forward the feature space concept of Albedo-MSAVI and builds the SDI model of different indexes to monitor the soil salinization. The result indicates that Albedo-MSAVI feature spatial distribution shows obvious regularity: soil salinization and vegetation coverage hyperbolic distribution in the first quadrant,and the differentiations between saliferous soil and no salt soil are obvious. SDI model and soil salt content of the correlation coefficient is 0.96,which can show the oasis salinization well. SDI of average characteristic differences between the saliferous degrees and no salt is obvious,the discrepancies are between 0.12 ~ 0.34. So SDI index can be used as the indicator to extract salinization information fast,and the construction of SDI model is helpful for of quantitative supervision and evaluation work of soil salinization in the large arid areas.
引文
[1]丁建丽,姚远,王飞,等.干旱区土壤盐渍化特征空间建模[J].生态学报,2014,34(16):4 620-4 631.
[2]Muyen Z,Moore G A,Wrigley R J.Soil salinity and sodicity effects of wastewater irrigation in South East
[3]Australia[J].Agricultural Water Management,2011,99(1):33-41.
[4]Wang H,Jia G.Satellite-based monitoring of decadal soil salinization and climate effects inasemi-arid region of China[J].Advances in Atmospheric Sciences,2012,29(5):1 089-1 099.
[5]曹雷,丁建丽,于海洋,等.渭-库绿洲多尺度景观格局与盐度关系[J].农业工程学报,2016,32(3):101-110.
[6]Bouksila F,Bahri A,Berndtsson R,et al.Assessment of soil salinization risks under irrigation with brackish water in semiarid Tuni-sia[J].Environmental and Experimental Botany,2013,92:176-185.
[7]Gillies R,Kustas W P,Humes K S.A verification of the‘triangle’method for obtaining surface soil water content and energy fluxes from remote measurements of the normalized difference vegetation index(NDVI)and surface[J].International Journal of Remote Sensing,1997,18(15):3 145-3 166.
[8]曾永年,向南平,冯兆东,等.Albedo-NDVI特征空间及沙漠化遥感监测指数研究[J].地理科学,2006,26(1):75-81.
[9]丁建丽,瞿娟,孙永猛,等.基于MSAVI-WI特征空间的新疆渭干河-库车河流域绿洲土壤盐渍化研究[J].地理研究,2013,32(2):223-232.
[10]王飞,丁建丽,伍漫春,等.基于NDVI-SI特征空间的土壤盐渍化遥感模型[J].农业工程学报,2010,26(8):168-173.
[11]哈学萍,丁建丽,罗江燕,等.基于SI-Albedo特征空间的干旱区盐渍化土壤信息提取研究——以克里雅河流域绿洲为例[J].土壤学报,2009,62(3):381-390.
[12]丁建丽,塔西甫拉提·特依拜,张飞,等.塔里木盆地北缘绿洲土壤含盐量和电导率空间变异性研究[J].干旱区地理,2008,31(4):624-632.
[13]姚远,丁建丽,雷磊,等.干湿季节下基于遥感和电磁感应技术的塔里木盆地北缘绿洲土壤盐分的空间变异性[J].生态学报,2013,33(17):5 308-5 319.
[14]丁建丽,姚远,王飞,等.干旱区土壤盐渍化特征空间建模[J].生态学报,2014,34(16):4 620-4 631.
[15]丁建丽,姚远,王飞,等.基于三维光谱特征空间的干旱区土壤盐渍化遥感定量研究[J].土壤学报,2013,50(5):853-861.
[16]Allbed A,Kumar L,Aldakheel Y Y.Assessing soil salinity using soil salinity and vegetation indices derived from IKONOS high-spatial resolution imageries:applications in a date palm dominated region[J].Geoderma,2014,230:1-8.
[17]Qi J,Chehbouni A,Huete A R,et al.A modified soil adjusted vegetation index[J].Remote Sensing of Environment,1994,48(2):119-126.
[18]Liang S.Narrowband to broadband coaversions of land surface albedo:algorighms[J].Remote Sensing of Environment,2001,76(2):213-238.
[19]张添佑,王玲,曾攀丽,等.基于MSAVI-SI特征空间的玛纳斯河流流域灌区土壤盐渍化研究[J].干旱区研究,2016,33(3):499-505.
[20]Mcfeeters S K.The use of the Normalized Difference Water Index(NDWI)in the delineation of open water features[J].International Journal of Remote Sensing,1996,17(7):1 425-1 432.
[21]王娜娜,齐伟,王丹,等.基于样带的滨海盐碱地土壤养分和盐分的空间变异[J].应用生态学报,2012,23(6):1 527-1 532.
[22]江红南,丁建丽,塔西甫拉提·特依拜,等.基于ETM+数据的干旱区盐渍化土壤信息提取研究[J].土壤学报,2008,45(2):222-228.
[23]王宏,李晓兵,韩瑞波,等.利用NOAANDVI和MSAVI遥感监测中国北方不同纬度带植被生长季变化[J].应用生态学报,2006,17(12):2 236-2 240.
[24]刘亚男,白欣,侯君英.基于特征空间的土壤含盐量的遥感反演[J].安徽农业科学,2014,(1):110-111.
[25]关红,贾科利,张至楠.采用高光谱指数的龟裂碱土盐碱化信息提取与分析[J].红外与激光工程,2014,43(12):4 153-4 158.
[26]李艳华,丁建丽,孙永猛,等.基于三维特征空间的土壤盐渍化遥感模型[J].水土保持研究,2015,22(4):113-117.
[27]Huete A,Didan K,Shimabokuro K,et al.Regional amazon basin and global analyses of MODIS vegetation indices:Early results and comparisons with AVHRR[C]∥Geoscience and Remote Sensing Symposium:Proceedings IGARSS 2000,IEEE 2000 International.2000:88-103.
[28]Qi J,Chehbouni A,Huete A R,et al.A modified soil adjusted vegetation index[J].Remote Sensing of Environment,1994,48(2):119-126.
[2]Muyen Z,Moore G A,Wrigley R J.Soil salinity and sodicity effects of wastewater irrigation in South East
[3]Australia[J].Agricultural Water Management,2011,99(1):33-41.
[4]Wang H,Jia G.Satellite-based monitoring of decadal soil salinization and climate effects inasemi-arid region of China[J].Advances in Atmospheric Sciences,2012,29(5):1 089-1 099.
[5]曹雷,丁建丽,于海洋,等.渭-库绿洲多尺度景观格局与盐度关系[J].农业工程学报,2016,32(3):101-110.
[6]Bouksila F,Bahri A,Berndtsson R,et al.Assessment of soil salinization risks under irrigation with brackish water in semiarid Tuni-sia[J].Environmental and Experimental Botany,2013,92:176-185.
[7]Gillies R,Kustas W P,Humes K S.A verification of the‘triangle’method for obtaining surface soil water content and energy fluxes from remote measurements of the normalized difference vegetation index(NDVI)and surface[J].International Journal of Remote Sensing,1997,18(15):3 145-3 166.
[8]曾永年,向南平,冯兆东,等.Albedo-NDVI特征空间及沙漠化遥感监测指数研究[J].地理科学,2006,26(1):75-81.
[9]丁建丽,瞿娟,孙永猛,等.基于MSAVI-WI特征空间的新疆渭干河-库车河流域绿洲土壤盐渍化研究[J].地理研究,2013,32(2):223-232.
[10]王飞,丁建丽,伍漫春,等.基于NDVI-SI特征空间的土壤盐渍化遥感模型[J].农业工程学报,2010,26(8):168-173.
[11]哈学萍,丁建丽,罗江燕,等.基于SI-Albedo特征空间的干旱区盐渍化土壤信息提取研究——以克里雅河流域绿洲为例[J].土壤学报,2009,62(3):381-390.
[12]丁建丽,塔西甫拉提·特依拜,张飞,等.塔里木盆地北缘绿洲土壤含盐量和电导率空间变异性研究[J].干旱区地理,2008,31(4):624-632.
[13]姚远,丁建丽,雷磊,等.干湿季节下基于遥感和电磁感应技术的塔里木盆地北缘绿洲土壤盐分的空间变异性[J].生态学报,2013,33(17):5 308-5 319.
[14]丁建丽,姚远,王飞,等.干旱区土壤盐渍化特征空间建模[J].生态学报,2014,34(16):4 620-4 631.
[15]丁建丽,姚远,王飞,等.基于三维光谱特征空间的干旱区土壤盐渍化遥感定量研究[J].土壤学报,2013,50(5):853-861.
[16]Allbed A,Kumar L,Aldakheel Y Y.Assessing soil salinity using soil salinity and vegetation indices derived from IKONOS high-spatial resolution imageries:applications in a date palm dominated region[J].Geoderma,2014,230:1-8.
[17]Qi J,Chehbouni A,Huete A R,et al.A modified soil adjusted vegetation index[J].Remote Sensing of Environment,1994,48(2):119-126.
[18]Liang S.Narrowband to broadband coaversions of land surface albedo:algorighms[J].Remote Sensing of Environment,2001,76(2):213-238.
[19]张添佑,王玲,曾攀丽,等.基于MSAVI-SI特征空间的玛纳斯河流流域灌区土壤盐渍化研究[J].干旱区研究,2016,33(3):499-505.
[20]Mcfeeters S K.The use of the Normalized Difference Water Index(NDWI)in the delineation of open water features[J].International Journal of Remote Sensing,1996,17(7):1 425-1 432.
[21]王娜娜,齐伟,王丹,等.基于样带的滨海盐碱地土壤养分和盐分的空间变异[J].应用生态学报,2012,23(6):1 527-1 532.
[22]江红南,丁建丽,塔西甫拉提·特依拜,等.基于ETM+数据的干旱区盐渍化土壤信息提取研究[J].土壤学报,2008,45(2):222-228.
[23]王宏,李晓兵,韩瑞波,等.利用NOAANDVI和MSAVI遥感监测中国北方不同纬度带植被生长季变化[J].应用生态学报,2006,17(12):2 236-2 240.
[24]刘亚男,白欣,侯君英.基于特征空间的土壤含盐量的遥感反演[J].安徽农业科学,2014,(1):110-111.
[25]关红,贾科利,张至楠.采用高光谱指数的龟裂碱土盐碱化信息提取与分析[J].红外与激光工程,2014,43(12):4 153-4 158.
[26]李艳华,丁建丽,孙永猛,等.基于三维特征空间的土壤盐渍化遥感模型[J].水土保持研究,2015,22(4):113-117.
[27]Huete A,Didan K,Shimabokuro K,et al.Regional amazon basin and global analyses of MODIS vegetation indices:Early results and comparisons with AVHRR[C]∥Geoscience and Remote Sensing Symposium:Proceedings IGARSS 2000,IEEE 2000 International.2000:88-103.
[28]Qi J,Chehbouni A,Huete A R,et al.A modified soil adjusted vegetation index[J].Remote Sensing of Environment,1994,48(2):119-126.