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We are developing a robust and economic electro-optical remote sensing methodology to monitor the state of health and hydration of trees, endemic to subtropical regions. We measured reflectance spectra with Fourier transform infrared (FTIR) of three samples of two different oak trees. We find that spectral bands suitable for monitoring the state of the health and senescence of the oak include intervals around 0.9 µm and 1.8 µm. The easiest and the most cost-effective strategy would be to implement an electro-optical remote sensing radiometric system featuring a commercial camera incorporating a traditional charge-coupled device (CCD) or complementary metal-oxide-semiconductor (CMOS) detectors and a wideband transmission filter, from about 0.8 to 1 µm.

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Fuel Moisture Content (FMC) and leaf biochemical compounds are parameters used to determine forest ignition and can be obtained by the use of different methods, included optical and chemical techniques. Chemical techniques require approximately 20 hours to determine forest fuel chemical compounds and FMC. In contrast, optical techniques need a few minutes to know the FMC. However, with this is not possible to determine the chemical compounds without a previous treatment. PROSPECT is a radiative transfer model technique to describe reflectance and transmittance of leaves. Using visual and near infrared (Vis-NIR) spectroscopy, the specific absorption coefficient of leaf extract is obtained. This is used as a parameter for invert PROSPECT model and quantify resins, oils and waxes which constitute forest fuel. This research will give the basis for remote Vis-NIR spectroscopy using unmanned aerial vehicles (UAVs) for a dynamical ignition parameters acquisition.