草地学报

›› 2014, Vol. 22 ›› Issue (2): 266-270.DOI: 10.11733/j.issn.1007-0435.2014.02.009

• 研究论文 • 上一篇    下一篇

不同粒径土壤的反射光谱对荒漠土壤有机质含量的响应

武红旗, 范燕敏, 何晶, 靳瑰丽, 谢昀, 柴大攀, 何龙   

  1. 新疆农业大学草业与环境科学学院, 新疆 乌鲁木齐 830052
  • 收稿日期:2013-06-14 修回日期:2013-09-23 出版日期:2014-04-15 发布日期:2014-04-21
  • 通讯作者: 武红旗
  • 作者简介:武红旗（1974-），男，甘肃酒泉人，副教授，主要从事资源调查与遥感监测研究，E-mail：hqwu7475@126.com
  • 基金资助:
    新疆维吾尔自治区高校科研计划重点项目“退化伊犁绢蒿荒漠草地高光谱遥感评价技术的研究”（XJEDU2011I21）；国家自然科学基金项目“基于高光谱遥感的退化伊犁绢蒿荒漠草地围栏恢复特征的研究”（31360571）；新疆维吾尔自治区土壤学重点学科基金资助

Response of Soil Hyperspectral Characteristics of Different Particle Sizes to Soil Organic Matter

WU Hong-qi, FAN Yan-min, HE Jing, JIN Gui-li, XIE Yun, CHAI Da-pan, HE Long   

  1. College of Grassland and Environment Science, Xinjiang Agricultural University, Urumqi, Xinjiang 830052, China
  • Received:2013-06-14 Revised:2013-09-23 Online:2014-04-15 Published:2014-04-21

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摘要： 为研究荒漠土壤有机质的高光谱诊断技术，分析了不研磨土样与2 mm土样的高光谱反射特征及与有机质含量的相关性。结果表明：不研磨土样的原始反射光谱在365.0~449.2 nm和567.8~799.8 nm与土壤有机质成极显著负相关。反射光谱经数学变换后，扩展了与有机质极显著相关的波段范围，2 mm土样光谱反射率与有机质的最大相关系数（|r|=0.420）高于不研磨土样（|r|=0.351）。2 mm土样光谱经一阶微分变换后，在569.2 nm和1141.5 nm建立的土壤有机质含量预测模型精度较高，但是当有机质含量低于9 g·kg-1时，预测精度较差。

关键词: 高光谱反射特征, 土壤粒径, 土壤有机质, 预测

Abstract: In order to study the hyperspectral diagnostic method of desert soil organic matter, the hyperspectral reflectance characteristics of both no-grinded and 2 mm particle size samples as well as their correlation with organic matter content were analyzed. Results showed that the original spectral reflectance of no-grinded sample had very significantly negative correlation with soil organic matter in 365.0~449.2 nm and 449.2~567.8 nm. The reflectance of mathematical transformation expanded the scope of related band. The maximum correlation coefficient between the spectral reflectance of 2 mm sample and soil organic matter (|r|=0.420) was higher than that between the spectral reflectance of no-grinded sample and soil organic matter (|r|=0.351). By first-order differential transformation of 2 mm sample spectral reflectance, the hyperspectral prediction model of desert soil organic matter was developed in 569.2 nm and 1141.5 nm, the prediction precision of soil organic matter content was higher, but the prediction accuracy was poor when the organic matter content was less than 9 g·kg-1.

Key words: Hyperspectral reflectance characteristics, Soil particle size, Soil organic matter, Prediction

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