Uncertainties in fPAR estimation of grass canopies under different stress situations and differences in architecture

被引:31
作者
Cristiano, P. M. [1 ]
Posse, G. [1 ]
Di Bella, C. M. [1 ]
Jaimes, F. R. [1 ]
机构
[1] INTA, Inst Clima & Agua, Buenos Aires, DF, Argentina
关键词
LEAF-AREA INDEX; USE EFFICIENCY; VEGETATION INDEXES; SOLAR-RADIATION; WATER; PHOTOSYNTHESIS; REFLECTANCE; WHEAT; NDVI; PRODUCTIVITY;
D O I
10.1080/01431160903229192
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
The fraction of intercepted photosynthetic active radiation (fPAR) is a key variable used by the Monteith model to estimate the net primary productivity (NPP). This variable can be assessed by vegetation indices (VIs) derived from spectral remote sensing data but several factors usually affect their relationship. The objectives of this work were to analyse the fPAR dynamics and to describe the relationships between fPAR and several indices (normalized difference vegetation index (NDVI), optimized soil adjusted vegetation index (OSAVI), Green NDVI (GNDVI), visible atmospherically resistant index (VARI) green, VIgreen and red edge position (REP)) under different water and nutrient treatments for two species with different canopy architectures. Two C3 grass species with differences in leaf orientation (planophile and erectophile) were cultivated from seeds in pots. Four treatments were applied combining water and nitrogen availability. Every week, canopy reflectance and fPAR were measured. Aerial biomass was clipped to estimate final above-ground production for each species and treatment. Starting from reflectance values, the indices were calculated. Planophile species have a steeper (but not significantly) slope in VIs-fPAR relationships than the erectophile species. Water and nutrient deficiencies treatment showed no relationship with fPAR in any spectral index in the erectophile species. In the other species, this treatment showed significant relationship according to the index used. Analysing each species individually, treatments did not modify slopes except in one case (planophile species between both treatments with high nitrogen but differing in water availability). Among indices, GNDVI was the best estimator of fPAR for both species, followed by NDVI and OSAVI. Inaccurate results may be obtained from commonly reported spectral relationships if plants' stress factors are not taken into account.
引用
收藏
页码:4095 / 4109
页数:15
相关论文
共 53 条
[1]  
[Anonymous], 1999, MODIS VEGETATION IND
[2]  
[Anonymous], QUANTITATIVE METHODS
[3]   ESTIMATION OF TOTAL ABOVE-GROUND PHYTOMASS PRODUCTION USING REMOTELY SENSED DATA [J].
ASRAR, G ;
KANEMASU, ET ;
JACKSON, RD ;
PINTER, PJ .
REMOTE SENSING OF ENVIRONMENT, 1985, 17 (03) :211-220
[4]   Estimation of the global net primary productivity using NOAA images and meteorological data: changes between 1988 and 1993 [J].
Awaya, Y ;
Kodani, E ;
Tanaka, K ;
Liu, JY ;
Zhuang, DF ;
Meng, YQ .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2004, 25 (09) :1597-1613
[5]   A new technique for extracting the red edge position from hyperspectral data: The linear extrapolation method [J].
Cho, MA ;
Skidmore, AK .
REMOTE SENSING OF ENVIRONMENT, 2006, 101 (02) :181-193
[6]   RELATIONSHIPS BETWEEN VEGETATION INDEXES, RADIATION ABSORPTION, AND NET PHOTOSYNTHESIS EVALUATED BY A SENSITIVITY ANALYSIS [J].
CHOUDHURY, BJ .
REMOTE SENSING OF ENVIRONMENT, 1987, 22 (02) :209-233
[7]   Physiological responses of argentine peanut varieties to water stress. Light interception, radiation use efficiency and partitioning of assimilates [J].
Collino, DJ ;
Dardanelli, JL ;
Sereno, R ;
Racca, RW .
FIELD CROPS RESEARCH, 2001, 70 (03) :177-184
[8]  
COLWELL J E, 1974, Remote Sensing of Environment, V3, P175, DOI 10.1016/0034-4257(74)90003-0
[9]  
DAUGHTRY CST, 1983, AGRON J, V75, P527, DOI 10.2134/agronj1983.00021962007500030026x
[10]   A new technique for interpolating the reflectance red edge position [J].
Dawson, TP ;
Curran, PJ .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 1998, 19 (11) :2133-2139