Title :
Research on PAR and FPAR of crop canopies based on RGM
Author :
Xie, DongHui ; Wang, Peijuan ; Liu, Rongyuan ; Zhu, Qijiang
Author_Institution :
State Key Lab. of Remote Sensing Sci., Beijing Normal Univ., Beijing, China
Abstract :
PAR and FPAR are two important variables in agricultural field. Some researches show that many factors, such as LAI (leaf area index), LAD (leaf ange distribution) and the heterogeneity of vegetation will affect the distribution of PAR and FPAR. In order to understanding the exchange process of material and energy, Radiosity-Graphics combined Model (RGM) (Qin et al., 2000) is used to simulate the distribution of PAR and FPAR in canopy and some effect factors, such as the structure of canopy and sun zenith angle, can be analyze carefully. PAR and FPAR of a typical winter wheat canopy is simulated and the results are validated with the measured data. They agreed well. Next work is to simulate and analyze several factors of the distribution of PAR and FPAR, including sun incident angle, LAD, LAI, special for the heterogeneous canopies such as that crop with width and narrow ridges which can direct cropping patterns and remote sensing inversion.
Keywords :
geophysical techniques; remote sensing; vegetation; Fraction of Absorbed Photosynthetically Active Radiation; Photosynthetically Active Radiation; agricultural field; canopy structure; leaf angle distribution; leaf area index; radiosity-graphics combined model; remote sensing; sun zenith angle; winter wheat canopy; Agriculture; Analytical models; Computational modeling; Data models; Mathematical model; Reflectivity; Remote sensing; FPAR; LAD; LAI; PAR; Radiosity;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
Conference_Location :
Honolulu, HI
Print_ISBN :
978-1-4244-9565-8
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2010.5652908