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Assessment of chlorophyll content using a new vegetation index based on multi-angular hyperspectral image data
Ist Teil von
Guang pu xue yu guang pu fen xi, 2014-06, Vol.34 (6), p.1599
Ort / Verlag
China
Erscheinungsjahr
2014
Link zum Volltext
Quelle
MEDLINE
Beschreibungen/Notizen
The fast estimation of chlorophyll content is significant for understanding the crops growth, monitoring the disease and insect, and assessing the yield of crops. This study gets the hyperspectral imagery data by using a self-developed multi-angular acquisition system during the different maize growth period, the reflectance of maize canopy was extracted accurately from the hyperspectral images under different view angles in the principal plane. The hot-dark-spot index (HDS) of red waveband was calculated through the analysis of simulated values by ACRM model and measured values, then this index was used to modify the vegetation index (TCARI), thus a new vegetation index (HD-TCARI) based on the multi-angular observation was proposed. Finally, the multi-angular hyperspectral imagery data was used to validate the vegetation indexes. The result showed that HD-TCARI could effectively reduce the LAI effects on the assessment of chlorophyll content. When the chlorophyll content was greater than 30 μg x cm(-2), the