A comparison of hyperspectral chlorophyll indices for wheat crop chlorophyll content estimation using laboratory reflectance measurements

被引:74
作者
Bannari, Abderrazak [1 ]
Khurshid, K. Shahid
Staenz, Karl
Schwarz, John W.
机构
[1] Univ Ottawa, Dept Geog, Ottawa, ON K1N 6N5, Canada
[2] Agr & Agri Food Canada, Ottawa, ON K1A 0C6, Canada
[3] Univ Lethbridge, Alberta Terr Imagimg Ctr, Lethbridge, AB T1J 0P, Canada
[4] Nat Resources Canada, Canada Ctr Remote Sensing, Ottawa, ON K1A 0Y7, Canada
来源
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING | 2007年 / 45卷 / 10期
关键词
chlorophyll indices; hyperspectral remote sensing; laboratory measurements; precision agriculture; soil-plant analyses development (SPAD)-502; validation; wheat crop;
D O I
10.1109/TGRS.2007.897429
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
The objective of this paper is to investigate the relationship between a wide range of hyperspectral chlorophyll indices and wheat crop chlorophyll content using laboratory measurements. These measurements included the GER-3700 spectroradiometric data, leaf chlorophyll content using the Soil-Plant Analyses Development (SPAD)-502 meter and leaf chlorophyll content estimated from chemical laboratory analysis. The SPAD-502 readings were correlated with leaf chlorophyll content extracted in the laboratory to establish calibration equations for the computation of chlorophyll-ab (Chl-ab) and cblorophyll-a (Chl-a) content. This resulted in a coefficient of determination (R-2) of 0.72 for the Chl-ab content and 0.69 for the Chl-a content and a root mean square error (RMSE) of 3.53 and 1.94 mu g/cm(2), respectively. These estimates were used to establish relationships against hyperspectral chlorophyll indices calculated from the GER-3700 data. From the investigated indices, the NPCI showed the best results with R-2 of 0.84 and RMSE of 11.0. The other indices, such as GNDVI, OSAVI, PSSRa, PSNDa, CAI, HNDVI, and MTCI did not perform satisfactorily. The better ones, but still showing a relatively week relationship with leaf chlorophyll content, are the indices NDPI, SIPI, PRI and SRPI with R-2's of 0.56, 0.62, 0.54, and 0.57, respectively and RMSEs of 11.06, 10.27, 11.32, and 10.96 mu g/cm(2), respectively.
引用
收藏
页码:3063 / 3074
页数:12
相关论文
共 75 条
[71]  
Young AGB., 1990, STRESS RESPONSES PLA, P87
[72]   Scaling-up and model inversion methods with narrowband optical indices for chlorophyll content estimation in closed forest canopies with hyperspectral data [J].
Zarco-Tejada, PJ ;
Miller, JR ;
Noland, TL ;
Mohammed, GH ;
Sampson, PH .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2001, 39 (07) :1491-1507
[73]   Land cover mapping at BOREAS using red edge spectral parameters from CASI imagery [J].
Zarco-Tejada, PJ ;
Miller, JR .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 1999, 104 (D22) :27921-27933
[74]  
ZARCOTEJADA PJ, 2000, THESIS YORK U TORONT
[75]  
1994, STATISTICA WINDOWS U