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干旱条件下春玉米高光谱特征及土壤含水量反演 被引量:12

Hyperspectral characteristics of spring maize and the inversion of soil moisture under drought stress
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摘要 通过辽宁锦州地区春玉米不同生育时期的土壤水分控制试验,利用ASDFieldSpecProFR分光辐射计观测不同生长状况的玉米冠层高光谱反射率,分析光谱反射率变化特征,建立光谱参数对土壤水分的反演模型。结果表明:玉米在七叶-拔节期受到干旱胁迫后,750—1400nm波段冠层光谱反射率、红边幅值、红边面积均出现降低,350—750、1400—2300nm反射率出现升高趋势;750~1400nm、红边幅值、红边面积对土壤干旱胁迫的响应时间较短,且存在异于正常灌溉处理的光谱特征;反演方法中,逐步回归方法利用高光谱反射率反演土壤含水量的误差小于一阶导数光谱,反演10em土壤含水量的效果好于30cm。 Using the data observed with ASD FieldSpec Pro with various levels of drought stress during different growth FR speetroradiometer based on a trial periods of maize in Jinzhou, Liaoning Province, the variation characteristics of maize canopy hyperspectral reflectance were investigated and inversion models on soil water content considering spectral parameters were established. The results showed that, after drought stress during the period from seven leaves to jointing, the spec- tral reflectance within spectral bands of 750 to 1400 nm, the amplitude and the area of red edge decreased and the time of their response to drought stress was shorter, and differed from those un- der well-watered condition, while the reflectance within the spectral bands from 350 to 750 nm and from 1400 to 2300 nm demonstrated an increasing trend. As far as inversion methods, the in- version error of soil water content with regression method based on hyperspectral reflectance was smaller than that of first derivative spectra. Moreover, the inversion accuracy of soil water content at the 10 cm depth was higher than that at the depth of 30 cm.
出处 《生态学杂志》 CAS CSCD 北大核心 2016年第5期1323-1329,共7页 Chinese Journal of Ecology
基金 辽宁省科技厅农业公关及成果产业化项目(2014210003) 中央级公益性科研院所基本科研业务费(2013IAE-CMA06)资助
关键词 玉米 土壤水分 干旱胁迫 高光谱遥感 反演模型 maize soil moisture drought stress hyperspectral remote sensing inversionmodel.
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