Development of a national VNIR soil-spectral library for soil classification and prediction of organic matter concentrations
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Bartholomeus H M, Schaepman M E, Kooistra L, et al. 2008. Spectral reflectance based indices for soil organic carbon quantification. Geoderma, 145: 28–36
Bezdek J C. 1981. Pattern Recognition with Fuzzy Objective Function Algorithms. New York: Plenum Press
Brown D J, Shepherd K D, Walsh M G, et al. 2006. Global soil characterization with VNIR diffuse reflectance spectroscopy. Geoderma, 132: 273–290
Brown D J. 2007. Using a global VNIR soil-spectral library for local soil characterization and landscape modeling in a 2nd-order Uganda watershed. Geoderma, 140: 444–453
Condit H R. 1972. Application of characteristic vector analysis to the spectral energy distribution of daylight and the spectral reflectance of American soils. Appl Optics, 11: 74–86
Dai C D. 1981. Preliminary research on spectral classification of typical soils in China and its data processing (in Chinese). In: The National Remote Sensing Center of China, ed. Selected Works of Remote Sensing. Beijing: Science Press. 315–323
Goge F, Joffre R, Jolivet C, et al. 2012. Optimization criteria in sample selection step of local regression for quantitative analysis of large soil NIRS database. Chemometr Intell Lab, 110: 168–176
Guerrero C, Zornoza R, Gomez I, et al. 2010. Spiking of NIR regional models using samples from target sites: Effect of model size on prediction accuracy. Geoderma, 158: 66–77
Guo Y, Shi Z, Li H Y, et al. 2013. Application of digital soil mapping methods for identifying salinity management classes based on a study on coastal central China. Soil Use Manage, 29: 445–456
Han R Z, Song T, He Y. 2010. Prediction of soil organic matter content based on Vis/NIR spectroscopy (in Chinese). Sci Sin Informations, 40(Suppl): 111–116
Ji W J, Li X, Li C X, et al. 2012. Using different data mining algorithms to predict soil organic matter based on visible-near infrared spectroscopy. Spectrosc Spect Anal, 32: 2393–2398
Krishnan P, Alexander J D, Butler B J, et al. 1980. Reflectance technique for predicting soil organic matter. Soil Sci Soc Am J, 44: 1282–1285
Kuang B Y, Mahmood H S, Quraishi M Z, et al. 2012. Sensing soil properties in the laboratory, in situ, and on-line: A review. Adv Agron, 114: 155–223
Liu H J, Zhang B, Zhang Y Z, et al. 2008. Soil taxonomy on the basis of reflectance spectral characteristics. Spectrosc Spect Anal, 28: 624–628
Lu Y L, Bai Y L, Yang L P, et al. 2011. Homogeneity of retrieval models for soil organic matter of different soil types in Northeast Plain using hyperspectral data (in Chinese). Plant Nutrit Fertil Sci, 17: 456–463
National Soil Survey Office. 1996. Soil Species of China (in Chinese). Beijing: China Agriculture Press
Peng J, Zhou Q, Zhang Y Z, et al. 2013. Effect of soil organic matter on spectral characteristics of soil (in Chinese). Acta Pedolog Sin, 50: 76–83
Ramirez-Lopez L, Behrens T, Schmidt K, et al. 2013. Distance and similarity-search metrics for use with soil vis-NIR spectra. Geoderma, 199: 43–53
Reeves III J B. 2010. Near-versus mid-infrared diffuse reflectance spectroscopy for soil analysis emphasizing carbon and laboratory versus on-site analysis: Where are we and what needs to be done? Geoderma, 158: 3–14
Soil Science Society of China. 2000. Soil and Agricultural Chemistry Analysis (in Chinese). Beijing: China Agricultural Science and Technology Press
Song Y X, Li F L, Yang Z F, et al. 2012. Diffuse reflectance spectroscopy for monitoring potentially toxic elements in the agricultural soils of Changjiang River Delta, China. Appl Clay Sci, 64: 75–83
Stenberg B, Viscarra Rossel R A, Mouazen A M, et al. 2010. Visible and near infrared spectroscopy in soil science. Adv Agron, 107: 163–215
Stoner E R, Baumgardner M F. 1981. Characteristic variations in reflectance of surface soils. Soil Sci Soc Am J, 45: 1161–1165
Viscarra Rossel R A, Behrens T. 2010. Using data mining to model and interpret soil diffuse reflectance spectra. Geoderma, 158: 46–54
Viscarra Rossel R A, Webster R. 2011. Discrimination of Australian soil horizons and classes from their visible-near infrared spectra. Eur J Soil Sci, 62: 637–647
Wetterlind J, Stenberg B. 2010. Near-infrared spectroscopy for within-field soil characterization: Small local calibrations compared with national libraries spiked with local samples. Eur J Soil Sci, 61: 823–843
Wu H X, Wang R C. 1991. Soil spectral characteristics and its quantitative analysis in soil classification (in Chinese). Acta Pedolog Sin, 28: 177–185
Xu B B, Ji G S, Zhu Y H. 1991. A preliminary research of geographical regionalization of China land background and spectral reflectance characteristics (in Chinese). Remote Sensing of Environment, 6: 142–151