In this study,using Moderate Resolution Imaging Spectroradiometer(MODIS)satellite images and environmental satellite CCD images,the spatio-temporal distribution of Ulva prolifera in the southern Yellow Sea during the ...In this study,using Moderate Resolution Imaging Spectroradiometer(MODIS)satellite images and environmental satellite CCD images,the spatio-temporal distribution of Ulva prolifera in the southern Yellow Sea during the period of 2011–2018 was extracted and combined with MODIS Level3 Photosynthetically Active Radiation(PAR)product data and Earth System Research Laboratory(ESRL)Sea Surface Temperature(SST)data to analyze their influences on the growth and outbreak of Ulva prolifera.The following conclusions were drawn:1)comprehensive analysis of Ulva prolifera distribution during the eight-year period revealed that the coverage area of Ulva prolifera typically exhibited a gradually increasing trend.The coverage area of Ulva prolifera reached a maximum of approximately 1714.21 km^2 during the eight-year period in late June 2015.The area affected by Ulva prolifera fluctuated.In mid-July 2014,the area affected by Ulva prolifera reached a maximum of approximately 39020.63 km^2.2)The average growth rate of Ulva prolifera was positive in May and June but negative in July.During the outbreak of Ulva prolifera,the SST in the southern Yellow Sea tended to increase each month.The SST anomaly and average growth rate of Ulva prolifera were positively correlated in May(R^2=0.62),but not significantly correlated in June or July.3)The variation trends of PAR and SST were approximately the same,and the PAR during this time period maintained a range of 40–50 mol/(m^2·d),providing sufficient illumination for the growth and outbreak of Ulva prolifera.In addition,the abundant nutrients and suitable temperature in the sea area near northern Jiangsu shoal resulted in a high growth rate of Ulva prolifera in May.In summary,the outbreak of Ulva prolifera was closely related to the environmental factors including SST,nutrients,and PAR.Sufficient nutrients and suitable temperatures resulted in a fast growth rate of Ulva prolifera.However,under poor nutrient conditions,even more suitable temperatures were not sufficient to trigger an outbreak of Ulva prolifera.展开更多
获取冠层光合有效辐射PAR(Photosynthetically active radiation)信息对于作物估产、长势监测以及优化种植有重要意义。运用地统计学空间网格法原理测定了鲁棉研28号的棉花冠层PAR值,综合应用等值线图、残差和交叉验证比较分析了12种插...获取冠层光合有效辐射PAR(Photosynthetically active radiation)信息对于作物估产、长势监测以及优化种植有重要意义。运用地统计学空间网格法原理测定了鲁棉研28号的棉花冠层PAR值,综合应用等值线图、残差和交叉验证比较分析了12种插值方法,发现克里金插值法最优;进一步利用克里金插值法分析了冀958、中棉所60、零式果枝品系L0三个品种PAR透射光的空间分布特征,等值线图显示PAR透射光空间分布与株型对光的影响一致,即验证了克里金插值法为模拟研究棉花冠层PAR值的最佳方法。展开更多
为了模拟夏玉米冠层内各层叶面积指数垂直分布,光合有效辐射(photosynthetically active radiation,PAR)是研究作物群体光合作用和长势的重要特征参数,阐明冠层内PAR的垂直分布规律与冠层结构等参数之间的相关关系,可为遥感定量反演冠...为了模拟夏玉米冠层内各层叶面积指数垂直分布,光合有效辐射(photosynthetically active radiation,PAR)是研究作物群体光合作用和长势的重要特征参数,阐明冠层内PAR的垂直分布规律与冠层结构等参数之间的相关关系,可为遥感定量反演冠层结构参数提供模型基础。该文基于PAR在冠层内的辐射传输规律结合冠层结构模拟不同太阳高度角的PAR透过率垂直分布模型,并用地面冠层分析仪测量值进行验证,结果表明模型对封垄前玉米抽雄期冠层内PAR透过率垂直分布模拟精度较高。通过不同太阳高度角PAR透过率的垂直分布模型结合消光系数运用不同算法分别反演层叶面积指数(leaf area index,LAI),并与不同高度层LAI实测值进行比较。结果显示:Bonhomme&Chartier算法反演不同高度层LAI精度较高,上层均方根误差(root mean square error,RMSE)为0.18,中层RMSE为0.55,下层RMSE为0.09。不同太阳高度角反演结果存在差异,30°和45°高度角均能较好地反演下层LAI,RMSE分别为0.11与0.09;30°高度角反演中层LAI精度较高,RMSE为0.30;45°高度角反演上层LAI精度较高,RMSE为0.18。结果表明基于不同太阳高度角构建的层LAI反演模型更适于实现夏玉米不同高度层LAI的遥感估算。该研究可为模拟垄行结构冠层内LAI垂直分布提供参考。展开更多
基金Under the auspices of Natural Science Foundation of Shandong(No.ZR2019MD041)National Natural Science Foundation of China(No.41676171)+2 种基金Qingdao National Laboratory for Marine Science and Technology of China(No.2016ASKJ02)Natural Science Foundation of Shandong(No.ZR2015DM015)Development and Construction Funds Project of National Independent Innovation Demonstration Zone in Shandong Peninsula(No.ZCQ17117)。
文摘In this study,using Moderate Resolution Imaging Spectroradiometer(MODIS)satellite images and environmental satellite CCD images,the spatio-temporal distribution of Ulva prolifera in the southern Yellow Sea during the period of 2011–2018 was extracted and combined with MODIS Level3 Photosynthetically Active Radiation(PAR)product data and Earth System Research Laboratory(ESRL)Sea Surface Temperature(SST)data to analyze their influences on the growth and outbreak of Ulva prolifera.The following conclusions were drawn:1)comprehensive analysis of Ulva prolifera distribution during the eight-year period revealed that the coverage area of Ulva prolifera typically exhibited a gradually increasing trend.The coverage area of Ulva prolifera reached a maximum of approximately 1714.21 km^2 during the eight-year period in late June 2015.The area affected by Ulva prolifera fluctuated.In mid-July 2014,the area affected by Ulva prolifera reached a maximum of approximately 39020.63 km^2.2)The average growth rate of Ulva prolifera was positive in May and June but negative in July.During the outbreak of Ulva prolifera,the SST in the southern Yellow Sea tended to increase each month.The SST anomaly and average growth rate of Ulva prolifera were positively correlated in May(R^2=0.62),but not significantly correlated in June or July.3)The variation trends of PAR and SST were approximately the same,and the PAR during this time period maintained a range of 40–50 mol/(m^2·d),providing sufficient illumination for the growth and outbreak of Ulva prolifera.In addition,the abundant nutrients and suitable temperature in the sea area near northern Jiangsu shoal resulted in a high growth rate of Ulva prolifera in May.In summary,the outbreak of Ulva prolifera was closely related to the environmental factors including SST,nutrients,and PAR.Sufficient nutrients and suitable temperatures resulted in a fast growth rate of Ulva prolifera.However,under poor nutrient conditions,even more suitable temperatures were not sufficient to trigger an outbreak of Ulva prolifera.
文摘获取冠层光合有效辐射PAR(Photosynthetically active radiation)信息对于作物估产、长势监测以及优化种植有重要意义。运用地统计学空间网格法原理测定了鲁棉研28号的棉花冠层PAR值,综合应用等值线图、残差和交叉验证比较分析了12种插值方法,发现克里金插值法最优;进一步利用克里金插值法分析了冀958、中棉所60、零式果枝品系L0三个品种PAR透射光的空间分布特征,等值线图显示PAR透射光空间分布与株型对光的影响一致,即验证了克里金插值法为模拟研究棉花冠层PAR值的最佳方法。
文摘为了模拟夏玉米冠层内各层叶面积指数垂直分布,光合有效辐射(photosynthetically active radiation,PAR)是研究作物群体光合作用和长势的重要特征参数,阐明冠层内PAR的垂直分布规律与冠层结构等参数之间的相关关系,可为遥感定量反演冠层结构参数提供模型基础。该文基于PAR在冠层内的辐射传输规律结合冠层结构模拟不同太阳高度角的PAR透过率垂直分布模型,并用地面冠层分析仪测量值进行验证,结果表明模型对封垄前玉米抽雄期冠层内PAR透过率垂直分布模拟精度较高。通过不同太阳高度角PAR透过率的垂直分布模型结合消光系数运用不同算法分别反演层叶面积指数(leaf area index,LAI),并与不同高度层LAI实测值进行比较。结果显示:Bonhomme&Chartier算法反演不同高度层LAI精度较高,上层均方根误差(root mean square error,RMSE)为0.18,中层RMSE为0.55,下层RMSE为0.09。不同太阳高度角反演结果存在差异,30°和45°高度角均能较好地反演下层LAI,RMSE分别为0.11与0.09;30°高度角反演中层LAI精度较高,RMSE为0.30;45°高度角反演上层LAI精度较高,RMSE为0.18。结果表明基于不同太阳高度角构建的层LAI反演模型更适于实现夏玉米不同高度层LAI的遥感估算。该研究可为模拟垄行结构冠层内LAI垂直分布提供参考。