[1] Wang W H. The problem and countermeasure of grassland in Gannan Prefecture. Yangtze River, 2009, 40(7): 36-37. 王文浩. 甘南草原面临的问题及对策. 人民长江, 2009, 40(7): 36-37. [2] Li S L, Chen Y J, Guan S Y, et al . Relationships between soil degradation and rangeland degradation. Journal of Arid Land Resources and Environment, 2002, 16(1): 92-95. 李绍良, 陈有君, 关世英, 等. 土壤退化与草地退化关系的研究. 干旱区资源与环境, 2002, 16(1): 92-95. [3] Gao Y Z, Han X G, Wang S P. The effects of grazing on grassland soils. Acta Ecologica Sinica, 2004, 24(4): 790-797. 高英志, 韩兴国, 汪诗平. 放牧对草原土壤的影响. 生态学报, 2004, 24(4): 790-797. [4] Lu R K. Principles of Soil-Plant Nutrition and Fertilization[M]. Beijing: Chemical Industry Press, 1998. 鲁如坤. 土壤-植物营养学[M]. 北京: 化学工业出版社, 1998. [5] Zhou H K, Zhao X Q, Wen J, et al . The characteristics of soil and vegetation of degenerated alpine steppe in the Yellow River Source Region. Acta Prataculturae Sinica, 2012, 21(5): 1-11. 周华坤, 赵新全, 温军, 等. 黄河源区高寒草原的植被退化与土壤退化特征. 草业学报, 2012, 21(5): 1-11. [6] Yu L, Hong Y S, Geng L, et al . Hyperspectral estimation of soil organic matter content based on partial least squares regression. Transactions of the Chinese Society of Agricultural Engineering, 2015, 31(14): 103-109. 于雷, 洪永胜, 耿雷, 等. 基于偏最小二乘回归的土壤有机质含量高光谱估算. 农业工程学报, 2015, 31(14): 103-109. [7] Meng J H, Wu B F, Du X, et al . A review and outlook of applying remote sensing to precision agriculture. Remote Sensing for Land & Resources, 2011, (3): 1-7. 蒙继华, 吴炳方, 杜鑫, 等. 遥感在精准农业中的应用进展及展望. 国土资源遥感, 2011, (3): 1-7. [8] Al-Abbas A H, Swain P H, Baumgarder M F. Relating organic matter and clay content to the multispectral radiance of soils. Soil Science, 1972, 114(6): 447-485. [9] Galvão L S, Pizarro M A, Epiphanio J C N. Variations in reflectance of tropical soils: spectral-chemical composition relationships from AVIRIS data. Remote Sensing of Environment, 2001, 75(2): 245-255. [10] Cambou A, Cardinael R, Kouakoua E, et al . Prediction of soil organic carbon stock using visible and near infrared reflectance spectroscopy (VNIRS) in the field. Geoderma, 2016, 261: 151-159. [11] Ji W J, Li X, Li C X, et al . Using different data mining algorithms to predict soil organic matter based on visible-near infrared spectroscopy. Spectroscopy and Spectral Analysis, 2012, 32(9): 2393-2398. 纪文君, 李曦, 李成学, 等. 基于全谱数据挖掘技术的土壤有机质高光谱预测建模研究. 光谱学与光谱分析, 2012, 32(9): 2393-2398. [12] Wang X P, Zheng X P, Liu F J, et al . Analysis and extraction soil organic matter information based on hyperspectral remote sensing. Geospatial Information, 2012, 10(5): 75-78. 王小攀, 郑晓坡, 刘福江, 等. 高光谱遥感土壤有机质含量信息提取与分析. 地理空间信息, 2012, 10(5): 75-78. [13] Chen H Y, Zhao G X, Zhang X H, et al . Improving estimation precision of soil organic matter content by removing effect of soil moisture from hyperspectra. Transactions of the Chinese Society of Agricultural Engineering, 2014, 30(8): 91-100. 陈红艳, 赵庚星, 张晓辉, 等. 去除水分影响提高土壤有机质含量高光谱估测精度. 农业工程学报, 2014, 30(8): 91-100. [14] Zhou L, Xin X P, Li G, et al . Application progress on hyperspectral remote sensing in grassland monitoring. Pratacultural Science, 2009, 26(4): 20-27. 周磊, 辛晓平, 李刚, 等. 高光谱遥感在草原监测中的应用. 草业科学, 2009, 26(4): 20-27. [15] Qian Y R, Yu J, Jia Z H, et al . Extraction and analysis of hyper-spectral data from typical desert grassland in Xinjiang. Acta Prataculturae Sinica, 2013, 22(1): 157-166. 钱育蓉, 于炯, 贾振红, 等. 新疆典型荒漠草地的高光谱特征提取和分析研究. 草业学报, 2013, 22(1): 157-166. [16] Xu J, Wu H Q, Jiang P A, et al . Soil spectral property of Xinjiang Grassland. Acta Agrestia Sinica, 2014, 22(5): 980-985. 胥静, 武红旗, 蒋平安, 等. 新疆典型草地土壤光谱特征研究. 草地学报, 2014, 22(5): 980-985. [17] Cui X, Liang T G, Liu Y. Modeling of aboveground biomass of grassland using remotely sensed MOD09GA data. Journal of Lanzhou University: Natural Sciences, 2009, 45(5): 79-87. 崔霞, 梁天刚, 刘勇. 基于MOD09GA产品的草地生物量遥感估算模型. 兰州大学学报: 自然科学版, 2009, 45(5): 79-87. [18] Bao S D. Soil and Agriculture Chemistry Analysis[M]. Beijing: China Agriculture Press, 1999: 30-34. 鲍士旦. 土壤农化分析[M]. 北京: 中国农业出版社, 1999: 30-34. [19] Shi T, Cui L, Wang J, et al . Comparison of multivariate methods for estimating soil total nitrogen with visible/near-infrared spectroscopy. Plant and Soil, 2013, 366: 363-375. [20] Shi Z, Wang Q L, Peng J, et al . Development of a national VNIR soil-spectral library for soil classification and prediction of organic matter concentrations. Science China: Earth Sciences, 2014, 44(5): 978-988. 史舟, 王乾龙, 彭杰, 等. 中国主要土壤高光谱反射特性分类与有机质光谱预测模型. 中国科学: 地球科学, 2014, 44(5): 978-988. [21] Nocita M, Stevens A, Toth G, et al . Prediction of soil organic carbon content by diffuse reflectance spectroscopy using a local partial least square regression approach. Soil Biology & Biochemistry, 2014, 68: 337-347. [22] Sun J Y, Li M Z, Zheng L H, et al . Real time analysis of soil moisture, soil organic matter, and soil total nitrogen with NIR spectra. Spectroscopy and Spectral Analysis, 2006, 26(3): 426-429. 孙建英, 李民赞, 郑立华, 等. 基于近红外光谱的北方潮土土壤参数实时分析. 光谱学与光谱分析, 2006, 26(3): 426-429. [23] Hou Y J, Tashpolat T, Mamat S, et al . Estimation model of desert soil organic matter content using hyperspectral data. Transactions of the Chinese Society of Agricultural Engineering, 2014, 30(16): 113-120. 侯艳军, 买买提, 沙吾提, 等. 荒漠土壤有机质含量高光谱估算模型. 农业工程学报, 2014, 30(16): 113-120. [24] Morra M J, Hall M H, Freeborn L L. Carbon and nitrogen analysis of soil fractions using near-infrared reflectance spectroscopy. Soil Science Society of America Journal, 1991, 55(1): 288-291. [25] Guo Y, Cheng Y Z, Wang L G, et al . Predication and mapping of soil organic matter content using hyperspectra and GF-1 multi-spectral. Chinese Journal of Soil Science, 2016, 47(3): 537-542. 郭燕, 程永政, 王来刚, 等. 利用高光谱和 GF-1 模拟多光谱进行土壤有机质预测和制图研究. 土壤通报, 2016, 47(3): 537-542. [26] Zhou P, Wang R S, Yan B K, et al . Extraction of soil organic matter information by hyperspectral remote sensing. Progress in Geography, 2010, 27(5): 27-34. 周萍, 王润生, 阎柏琨, 等. 高光谱遥感土壤有机质信息提取研究. 地理科学进展, 2010, 27(5): 27-34. [27] Liu L, Shen R P, Ding G X. Studies on the estimation of soil organic matter content based on hyper-spectrum. Spectroscopy and Spectral Analysis, 2011, 31(3): 762-766. 刘磊, 沈润平, 丁国香. 基于高光谱的土壤有机质含量估算研究. 光谱学与光谱分析, 2011, 31(3): 762-766. |