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TitleWheat crop chlorophyll content estimation from ground-based reflectance using chlorophyll indices
 
AuthorBannari, A; Khurshid, K S; Staenz, K; Schwarz, J
SourceIEEE International Geoscience and Remote Sensing Symposium proceedings 4241181, 2006 p. 112-115, https://doi.org/10.1109/IGARSS.2006.34
Year2006
Alt SeriesNatural Resources Canada, Contribution Series 20181126
PublisherIEEE
Documentserial
Lang.English
Mediapaper; on-line; digital
File formatpdf
Subjectsgeophysics; remote sensing
ProgramCanada Centre for Remote Sensing Divsion
AbstractThe objective of this study is to investigate the relationship between a wide range of spectral chlorophyll indices and chlorophyll content of wheat crop using laboratory measurements. The measurements included the GER-3700 spectroradiometric data, leaf chlorophyll content using the SPAD-502 meter, and leaf chlorophyll content estimated from chemical laboratory analysis. The SPAD-502 readings were correlated with laboratory extracted leaf chlorophyll content to establish calibration equations for the computation of chlorophyll-ab (Chl-ab) and chlorophyll-a (Chl-a) contents. This resulted in coefficients of determination (R2) of 0.72 for the Chl-ab contents and 0.69 for the Chl-a contents and a root mean square error (RMSE) of 3.53 and 1.94 ?g /cm2, respectively. These estimates based on these equations were used to establish relationships against spectral chlorophyll indices calculated from the GER-3700 data. The spectral chlorophyll indices, NDPI, SIPI, PRI and SRPI show a relative weak relationship with leaf chlorophyll content with R 2S of 0.56, 0.62, 0.54 and 0.57 and RMSEs of 11.06, 10.27, 11.32 and 10.96, respectively. The NPCI shows the best results with R2 of 0.84 and RMSE of 11.0.
GEOSCAN ID311480

 
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