|
|
REMOTE SENSING-BASED ANALYSIS OF MULTISPECTRAL INDICES
Janoušek, Jiří ; Kačmařík,, Michal (referee) ; Nedělník,, Jan (referee) ; Marcoň, Petr (advisor)
The thesis discusses various perspectives on the analysis of multispectral images, emphasizing in particular the technique’s potential in remote sensing of the Earth. Within multispectral imaging, the author has explored diverse methods for scanning plants to examine the impact exerted by the invididual electromagnetic spectrum components on the reflectivity of the investigated vegetation. Regarding the relevant vegetation indices, one of the main activities lay in comparing the approaches employed to compute the indices from applicable multispectral images. To deliver general data on the state of the plants being grown, the research involved designing and structuring relevant indicators that enabled the author to correlate the multispectral indices. In this context, the final sections of the thesis present the spectral maps acquired from the multispectral camera images and expose the analyses centered on the resulting index values, the aim being to help determine reliably the optimum harvest time in agricultural crops. The output of the project outlined within the thesis is then embodied in novel linear regression models that facilitate defining the optimum such a time. Importantly, by extension, the author also proposes a compact methodology that covers the individual phases and steps between the vegetation imaging the crops and finding the optimum harvest time.
|
guest ::
