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As an important indicator of vegetation moisture status, Fuel Moisture Content (FMC) is commonly used for predicting vulnerability to wild fire. Currently, the FMC estimation using spectral data is mainly based on spectral indices derived from several bands and these methods do not make full use of the entire spectrum. Partial Least Square (PLS) is a new multivariate statistical method which can effectively...
Vegetation water content is an important parameter to evaluate vegetation vigor. Therefore, it is very important to timely understand the vegetation moisture status, especially in the fields of agriculture and forestry. The hyperspectral data can provide continuous spectral information and shows to be a promising tool for precisely describing vegetation water content. Commonly, vegetation water content...
In this study, an ASD spectrometer made in USA is used to derive the hyperspectral data of cotton leaves in canopy in north Xinjiang. The integral area variables of red edge are used to estimate the total nitrogen (TN) content in cotton leaves in canopy. The first order differential of reflective spectra is carried out. The analysis methods based on the spectral position variables are derived from...
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