As shown in Section IV.C, the estimation accuracies of
the chlorophyll indices based on the NIR and RE bands are
sufficiently high. However, the performance can be further
improved by using a hyperspectral sensor that covers the
reflectance plateau, i.e., the NIR range around 800 nm, because
the spectral ranges of and defined in equations
The safety and ease-of-use of the developed low altitude airborne
hyperspectral data acquisition system make it applicable
to a number of potential fields beyond agriculture, e.g., environmental
monitoring. Monitoring vegetation in a polluted region (e.g., pollutedwater, air or soil) could serve as a “canary in a coal
mine” test for the environment, and regular and frequent monitoring
of vegetation stress levels based on aerial hyperspectral
data could be one of the first measures to prevent serious environmental
consequences.
As shown in Section IV.C, the estimation accuracies of
the chlorophyll indices based on the NIR and RE bands are
sufficiently high. However, the performance can be further
improved by using a hyperspectral sensor that covers the
reflectance plateau, i.e., the NIR range around 800 nm, because
the spectral ranges of and defined in equations
The safety and ease-of-use of the developed low altitude airborne
hyperspectral data acquisition system make it applicable
to a number of potential fields beyond agriculture, e.g., environmental
monitoring. Monitoring vegetation in a polluted region (e.g., pollutedwater, air or soil) could serve as a “canary in a coal
mine” test for the environment, and regular and frequent monitoring
of vegetation stress levels based on aerial hyperspectral
data could be one of the first measures to prevent serious environmental
consequences.
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