大豆和玉米冠层光合有效辐射各分量日变化

被引:18
作者
杨飞
张柏
李凤秀
国志兴
靳华安
机构
[1] 中国科学院东北地理与农业生态研究所
关键词
大豆; 玉米; 光合有效辐射; 反射率; 透射率; 偏离度;
D O I
10.13292/j.1000-4890.2007.0206
中图分类号
Q945 [植物生理学];
学科分类号
0903 ;
摘要
通过实测大豆和玉米冠层光合有效辐射各分量并计算其反射率、透射率,分析了各分量日变化规律及其影响因素。结果表明:光合有效辐射分量(FPAR)在一天中均接近于常数,特别是在8:00—11:00和14:00—16:00相对稳定;晴天大豆冠层入射光合有效辐射变化曲线较阴天平滑,反射率和透射率曲线没有阴天平滑;由于云层的吸收和散射作用,阴天中光合有效辐射(PAR)最大值的出现时间比晴天晚1h左右;植被冠层空间异质性对光合有效辐射各分量影响较大,不同作物类型的各分量之间有较大差异;大豆冠层空间异质性较玉米小,其光合有效辐射各个分量曲线较平滑;线性光量子传感器与太阳入射方向垂直投影线成30°时,冠层入射光合有效辐射平均偏离度值最小,为0.657%。
引用
收藏
页码:1153 / 1158
页数:6
相关论文
共 21 条
  • [11] An approach to spatially distributed modeling of net primary production (NPP) at the landscape scale and its application in validation of EOS NPP products
    Reich, PB
    Turner, DP
    Bolstad, P
    [J]. REMOTE SENSING OF ENVIRONMENT, 1999, 70 (01) : 69 - 81
  • [12] Vegetation canopy PAR absorptance and NDVI: An assessment for ten tree species with the SAIL model[J] . K.F. Huemmrich,S.N. Goward. &nbspRemote Sensing of Environment . 1997 (2)
  • [13] An approach to spatially distributed modeling of net primary production(NPP)at the landscape scale and its application in validation of EOS NPP products. Reich P B,Turner D P,and Bolstad P. Remote Sensing of Environment . 1999
  • [14] Esti-mating Fapar from Nine Vegetation Indices for Irrigat -edand Nonirrigated Faba Bean and Semileafless Pea Canopies. EDUARDO R,Jose R C,Ines M M. Remote Sensing of Environment . 1998
  • [15] Estimating PAR absorbed by vegetation from bidirectional reflectance measurements. Roujean,J. L. and Breon,F. M. Remote Sensing of Environment . 1995
  • [16] Effect of foliage spatial heterogeneity in the MODIS LAI and FPAR algorithm over broadleaf forests. N. V. Shabanov Y. Wang,W. Buermann,J. Dong,S. Hoffman,G. R. Smith,Y. Tian,Y. Knyazikhin and R. B. Myneni. Remote Sensing of Environment . 2003
  • [17] Vegetation canopy PAR ab-sorptance and the normalized difference vegetation index:An assessment using the SAIL model. Goward SN,,Huemmrich KF. Remote Sensing ofEnvironment . 1992
  • [18] Evaluation ofMODIS LAI,fAPAR and the relation between fAPAR andNDVI in a semi-arid environment using in situ measure-ments. Fensholt R,,Sandholt I,Rasmussen MS. Remote Sensing ofEnvironment . 2004
  • [19] Compa-ring global models of terrestrial net primary productivity[NPP]:Overview and key results. Cramer W,,Kicklighter DW,Bondeau A,et al. Global Change Biology . 1999
  • [20] Synergistic algorithm for estimating vegetation canopy leaf area index and fraction of absorbed photosynthetically active radiation from MODIS and MISR data. Y. Knyazikhin,J.V. Martonchik,R.B. Myneni,et al. Chinese Journal of Geophysics . 1998