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5期 张甘霖等:土壤时空变化研究的进展与未来 29] Minasny B, Mc Bratney A B, Bellon-Maurel V, et al Soil Taxonomy[J]. Acta Pedologica Sinica. 2013. 50(4 ) Removing the effect of soil moisture from nir diffuse 826-834.[张甘霖,王秋兵,张凤荣,等.中国土壤系 reflectance spectra for the prediction of soil organic 统分类土族和土系划分标准[.土壤学报,2013,50 carbon J]. Geoderma, 2011. 167/168: 118-124 (4):826-834 of 43 Lv Y. Chinese Soil Series Guangdong[M water and the environment on proximally sensed vis-NIR Science press,2017.[卢瑛.中国土系志·广东卷[M tra and their calibrations]. European Journal of 北京:科学出版社,2017.] Soil science,2015,66(3):55-56 [ 44]Li D C. Zhang G L, Wang H. Chinese Soil 31 ]Wang C K. Pan X Z. Improving the prediction of soil Series. Anhui[M]. Beijing: Science Press, 2017.[it organic matter using visible and near infrared 成,张甘霖,王华.中国土系志·安徽卷[M]北京 spectroscopy on moist samples]. Journal of Near 科学出版社,2017. nfrared Spectroscopy. 2016, 24(3 ): 231 [45 Sui YY. Jiao X G. Li J W Chinese Soil SeriesJilin(M) 32] ViscarraRossel R A. Cattle SR, Ortega A, et al. In situ Beijing: Science press,2019.[隋跃宇,焦晓光,李建 measurements of soil colour, mineral composition a 维,中国土系志·吉林卷[M]北京:科学出版社,2019 clay content by vis-NIR spectroscopy[]. Geoderma 46] Wang T W. Chinese Soil Series Hubei[M]. Beijing 2009,150(314):253-266 Science press.2017.[王天巍.中国土系志·湖北卷[M 33 Guerrero C, Zornoza R, Gomez l. et al. Spiking of NIR 北京:科学出版社,2017 regional models using samples from target sites: Effect of 47] Shi Z Wang Q L, Peng J,et al. Development of a national model size on prediction accuracy]. Geoderma. 2010 VNIR soil-spectral library for soil classification and 158(1n2):66-77 prediction of organic matter concentrations J]. Science [34]Wu Y, Chen J. Wu X. et al. Possibilities of reflectance China: Earth Sciences. 2014. 44: 978-988 spectroscopy for the assessment of contaminant elements 48] Zeng R. Rossiter D G, Yang F, et al. How accurately can in suburban soils]. Applied Geochemistry, 2005, 20 (6):1051-1059 physio-chemical properties? J]. 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Soil Science Society of America Journal (1):66-78.] 1979,43(4):810-812 52]Minasny B, McBratney A B Latin hypercube sampling as 38] Brown D J, Shepherd K D, Walsh M G. et al. Global soil a tool for digital soil mapping[J]. Developments in Soil characterization with VNIr diffuse reflectance Science,2006.31:153-606. spectroscopy[J]. Geoderma, 2006, 132( 3/4 ): 273--290. 53] Brus D J, Heuvelink G B M. Optimization of sample [39] ViscarraRossel R A, Behrens T, Ben-Dor E. A global patterns for universal kriging of environmental spectral library to characterize the world's soil]. Earth ariables J). Geoderma. 2007. 138: 86-9 Science reviews. 2016. 155: 198-230 [54] Zhu AX, Yang L, Li B L, et al. Purposive sampling for 40] Song X D. Wu H Y, Hallett P D, et al. Paleotopography digital soil mapping under fuzzy logic//Hartemink A E continues to drive surface to deep-layer interactions in a McBratney A, Mendonca-Santos M de L. Digital Soil subtropical Critical Zone Observatory]. Journal of Mapping with Limited Data[M]. Switzerland: Springer, Applied Geophysics, 2020. 175: 103987 2008:233-245 41] CSTC( Chinese Soil Taxonomic Classification Research 55 Zhu A,, Band L E. A knowledge-based approach to data Group ) Chinese Soil Taxonomy[M]. Beijing. New York integration for soil mapping]. Canadian Journal of Science press. 2001 Remote Sensing, 1994. 20(4):408-418 [42] Zhang G L, Wang Q B, Zhang F R, et al. Criteria for [56] Hengl T, de Jesus J M, Heuvelink G B M. et al establishment of soil family and soil series in Chinese SoilGrids 250m: Global gridded soil information based or http://pedologica.issas.ac.cn5 期 张甘霖等:土壤时空变化研究的进展与未来 1069 http://pedologica.issas.ac.cn [ 29 ] Minasny B,McBratney A B,Bellon-Maurel V,et al. Removing the effect of soil moisture from NIR diffuse reflectance spectra for the prediction of soil organic carbon[J]. Geoderma,2011,167/168:118—124. [ 30 ] Ji W,Rossel R A V,Shi Z. Accounting for the effects of water and the environment on proximally sensed vis-NIR soil spectra and their calibrations[J]. European Journal of Soil Science,2015,66(3):555—565. [ 31 ] Wang C K,Pan X Z. Improving the prediction of soil organic matter using visible and near infrared spectroscopy on moist samples[J]. Journal of Near Infrared Spectroscopy,2016,24(3):231. [ 32 ] ViscarraRossel R A,Cattle S R,Ortega A,et al. In situ measurements of soil colour,mineral composition and clay content by vis-NIR spectroscopy[J]. Geoderma, 2009,150(3/4):253—266. [ 33 ] Guerrero C,Zornoza R,Gomez I,et al. Spiking of NIR regional models using samples from target sites:Effect of model size on prediction accuracy[J]. Geoderma,2010, 158(1/2):66—77. [ 34 ] Wu Y,Chen J,Wu X,et al. Possibilities of reflectance spectroscopy for the assessment of contaminant elements in suburban soils[J]. Applied Geochemistry,2005,20 (6):1051—1059. [ 35 ] Shi Z,Guo Y,Jin X,et al. 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Development of a national VNIR soil-spectral library for soil classification and prediction of organic matter concentrations[J]. Science China:Earth Sciences,2014,44:978—988. [ 48 ] Zeng R,Rossiter D G,Yang F,et al. How accurately can soil classes be allocated based on spectrally predicted physio-chemical properties? [J]. Geoderma,2017,303: 78—84. [ 49 ] Zhang G L,Brus D,Liu F,et al. Digital Soil Mapping Across Paradigms , Scales and Boundaries[M]. Singapore:Springer,2016. [ 50 ] Zhang G L,Liu F,Song X D. Recent progress and future prospect of digital soil mapping:A review[J]. Journal of Integrative Agriculture,2017,16(12):2871—2885. [ 51 ] Zhu A X,Yang L,Fan N Q,et al. The review and outlook of digital soil mapping[J]. Progress in Geography,2018, 37(1):66—78. [朱阿兴,杨琳,樊乃卿,等. 数字土 壤制图研究综述与展望[J]. 地理科学进展,2018,37 (1):66—78.] [ 52 ] Minasny B,McBratney A B. Latin hypercube sampling as a tool for digital soil mapping[J]. Developments in Soil Science,2006,31:153—606. [ 53 ] Brus D J,Heuvelink G B M. Optimization of sample patterns for universal kriging of environmental variables[J]. Geoderma,2007,138:86—95. [ 54 ] Zhu A X,Yang L,Li B L,et al. Purposive sampling for digital soil mapping under fuzzy logic//Hartemink A E, McBratney A,Mendonça-Santos M de L. Digital Soil Mapping with Limited Data[M]. Switzerland:Springer, 2008:233—245. [ 55 ] Zhu A X,Band L E. A knowledge-based approach to data integration for soil mapping[J]. Canadian Journal of Remote Sensing,1994,20(4):408—418. [ 56 ] Hengl T,de Jesus J M,Heuvelink G B M,et al. SoilGrids250m:Global gridded soil information based on
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