Abstract
The paper provides a capability analysis of optical sensors for remote monitoring of vegetation condition in visible (VIS) and near infrared (NIR) bands. Mathematical modelling based on the spectral libraries of vegetation reflection coefficients shows that a hyper-spectral sensor with narrow spectral channels (or a laser sensor) allows us to detect the vegetation under adverse conditions with correct detection probability close to one and false alarm probability ~ second decimal places both in VIS and NIR bands below 1 μm and in the near infrared band above 1.4 μm. Data sharing in various spectral bands enables enhancing measurement reliability.
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