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作 者:王家强[1] 于军[1,2] 彭杰[1] 柳维扬[1] 伍维模[1,2]
机构地区:[1]塔里木大学植物科学学院,新疆阿拉尔843300 [2]疆生产建设兵团塔里木盆地物资源保护与利用重点实验室,新疆阿拉尔843300
出 处:《西南农业学报》2014年第1期215-219,共5页Southwest China Journal of Agricultural Sciences
基 金:国家自然科学基金(40961028、41061031、41161048、31260140);973计划前期研究专项(2011CB411909);兵团青年科技创新资金专项(2012CB020);塔里木大学校长基金硕士资助项目(TDZKSS201101)
摘 要:土壤氮素是土壤肥力的重要指标之一,在粮食生产和质量上扮演着极其重要的角色。土壤氮素监测不仅是农业生产的研究热点,也是全球气候变化问题研究的热点之一,而遥感技术为土壤氮素监测提供了一种快速无损的、新的技术手段。本研究利用TM影像通过NDVI变换反演植被覆盖度,同时结合地面实测数据,分析影像植被覆盖度与实测植被覆盖度的关系,及二者在反演土壤氮素含量时的差异;并建立影像植被覆盖度与土壤全氮含量的估算模型;结果表明:影像植被覆盖度与实测植被覆盖度的相关性极显著,通过比较实测植被覆盖度与土壤全氮、碱解氮的关系,发现实测植被覆盖度与土壤全氮含量相关性极显著,而与土壤碱解氮含量相关性不显著。Soil nitrogen is one of the important indexes of soil fertiliity,which is an important role in food production and quality.Soil nitrogen monitoring is not only a hot point of the research of sgricultural production,but also one of the hot spot of research of the global climate change,but remote sensing technology provides a quick nondestructive,new technology for soil nitrogen monitoring.In the study,the TM image was used to inverse the vegetation coverage through the NDVI trandorm,and the surface measurement was used to analyze the relationship of the Image vegetation coverage and measured vegetation coverage,and the two difference on the inversion of soil nitrogen content.The inversion model of the image vegetation coverage and soil total nitrogen content were established.The result showed:the correlation of the Image vegetation coverage and measured vegetation coverage was very significant.The correlation of the vegetation coverage and soil total nitrogen content was very significant,but the conelation of soil alkali solution niuogen content and the measmed vegetation coverage was not significant.
分 类 号:TP751[自动化与计算机技术—检测技术与自动化装置]
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