DocumentCode :
1127271
Title :
A Comparison of Hyperspectral Chlorophyll Indices for Wheat Crop Chlorophyll Content Estimation Using Laboratory Reflectance Measurements
Author :
Bannari, Abderrazak ; Khurshid, K. Shahid ; Staenz, Karl ; Schwarz, John W.
Author_Institution :
Ottawa Univ., Ottawa
Volume :
45
Issue :
10
fYear :
2007
Firstpage :
3063
Lastpage :
3074
Abstract :
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 chlorophyll-a (Chl-a) content. This resulted in a coefficient of determination (R2) 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 mug/cm2, 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 R2 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 Rs of 0.56, 0.62, 0.54, and 0.57, respectively and RMSEs of 11.06, 10.27, 11.32, and 10.96 mug/cm2, respectively.
Keywords :
atmospheric boundary layer; atmospheric spectra; crops; remote sensing; GER-3700 spectroradiometric data; NDPI; NPCI; PRI; RMSE; SIPI; SPAD-502; SRPI; Soil-Plant Analyses Development; calibration equations; chemical laboratory analysis; chlorophyll-a content; chlorophyll-ab content; hyperspectral chlorophyll indices; root mean square error; wheat crop chlorophyll content estimation; Calibration; Chemical analysis; Crops; Data mining; Equations; Hyperspectral imaging; Laboratories; Reflectivity; Soil measurements; Spectroradiometers; Chlorophyll indices; hyperspectral remote sensing; laboratory measurements; precision agriculture; soil-plant analyses development (SPAD)-502; validation; wheat crop;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/TGRS.2007.897429
Filename :
4305348
Link To Document :
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