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碱化土壤的野外及实验室波谱响应特征及其转换
引用本文:张 芳,熊黑钢,丁建丽,夏倩柔. 碱化土壤的野外及实验室波谱响应特征及其转换[J]. 农业工程学报, 2012, 28(5): 101-107
作者姓名:张 芳  熊黑钢  丁建丽  夏倩柔
作者单位:1. 新疆大学资源与环境科学学院,乌鲁木齐830046;绿洲生态教育部重点实验室,乌鲁木齐830046
2. 北京联合大学应用文理学院,北京100083;绿洲生态教育部重点实验室,乌鲁木齐830046
基金项目:国家自然科学基金(41171165);北京市属高等学校人才强教计划资助项目(PHR200906125);新疆大学博士启动基金(BS110124)。
摘    要:为了探讨不同测量环境下碱化土壤波谱相互转换的条件和规律,对新疆天山北坡奇台绿洲碱化土壤进行定点野外、实验室波谱测量及特征分析,并结合土壤理化性质,利用多元线性回归方法进行野外-实验室测量波谱之间的双向转换。结果表明:野外测量波谱与土壤pH值呈极显著的正相关关系,可有效监测土壤碱化程度。但实验室测量波谱与pH值之间不具有相关性。pH值对实验室测量波谱向野外测量波谱的转换影响最大,其次是实验室波谱的b3(630~690nm)和b2(521~600nm)波段反射率,而b1(450~520nm)、b4(760~900nm)波段反射率与野外测量波谱的各波段反射率之间均无明显对应关系。实验室测量波谱与有机质含量呈负相关关系,且对于土壤有机质具有良好的定量反演潜力。实验室波谱向野外波谱转换的模型涉及的因子较少,稳定性高且具有良好验证精度,转换效果较野外波谱向实验室波谱转换的模型理想。

关 键 词:波谱分析  测量  土壤  野外测量波谱  实验室测量波谱  波谱转换
收稿时间:2011-05-20
修稿时间:2011-12-21

Characteristics of laboratory-field measured spectra responding to alkalinized soil and conversion
Zhang Fang,Xiong Heigang,Ding Jianli and Xia Qianrou. Characteristics of laboratory-field measured spectra responding to alkalinized soil and conversion[J]. Transactions of the Chinese Society of Agricultural Engineering, 2012, 28(5): 101-107
Authors:Zhang Fang  Xiong Heigang  Ding Jianli  Xia Qianrou
Affiliation:1,3(1.College of Resources and Environment Science,Xinjiang University,Urumqi 830046,China;2.College of Art and Science,Beijing Union University,Beijing 100083,China;3.Key Laboratory of Oasis Ecology(Xinjiang University) Ministry of Education Urumqi 830046.China)
Abstract:To explore the conditions and rules of conversions between spectra of alkalinized soil under different measure environments, the paper investigated the laboratory-measured and field-measured spectra of alkalinized soil within the Qitai oasis at the northern slope area of Tianshan Mountain in Xinjiang. Based on the analysis of the characteristics of the laboratory-measured and field-measured spectra and physicochemical properties of alkalinized soil at the study spots, the spectral transformation between the laboratory-measured and field-measured spectra were built by multiple linear regression method. The results showed that there was a significant positive correlation between the field-measured spectra and the soil pH value, therefore soil alkalinization could be effectively monitored by using the field-measured spectra. Although the correlation between the laboratory-measured spectra and the soil pH value was insignificant, pH value has the greatest impact on the conversion from the laboratory-measured spectra to the field-measured spectra, followed by the band3 (630-690 nm) and the band2 (520-600 nm) of the laboratory-measured spectra. The laboratory-measured spectra of band1 (450-520 nm) and band4 (760-900 nm) had no significant correlations with the field-measured spectra of the band1 (450-520 nm), band2 (520-600 nm), band3 (630-690 nm) and band4 (760-900 nm). The laboratory-measured spectra were significantly negatively correlated to the soil OM(organic matter), therefore the laboratory-measured spectra had the potential for estimating the quantitative retrieval of the soil OM. The model for laboratory-to-field spectral measurement transformation was less complex with fewer variables, more stability and higher verified accuracy, so it was better than the model for filed-to-laboratory spectral transformation.
Keywords:spectrum analysis   measurements   soils   field-measured spectrum   laboratory-measured spectrum   spectrum transformation
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