| Autor: |
Villacrés J; Department of Electronic Engineering, Universidad Técnica Federico Santa María, Av. España 1680, Valparaiso 2390123, Chile., Fuentes A; Department of Industrial Engineering, Universidad Técnica Federico Santa María, Av. España 1680, Valparaiso 2390123, Chile., Reszka P; Faculty of Engineering and Sciences, Universidad Adolfo Ibáñez, Santiago 7941169, Chile., Cheein FA; Department of Electronic Engineering, Universidad Técnica Federico Santa María, Av. España 1680, Valparaiso 2390123, Chile. |
| Abstrakt: |
The vegetation indices derived from spectral reflectance have served as an indicator of vegetation's biophysical and biochemical parameters. Some of these indices are capable of characterizing more than one parameter at a time. This study examines the feasibility of retrieving several spectral vegetation indices from a single index under the assumption that all these indices are correlated with water content. The models used are based on a linear regression adjusted with least squares. The spectral signatures of Eucalyptus globulus and Pinus radiata , which constitute 97.5% of the forest plantation in Valparaiso region in Chile, have been used to test and validate the proposed approach. The linear models were fitted with an independent data set from which their performance was assessed. The results suggest that from the Leaf Water Index, other spectral indices can be recovered with a root mean square error up to 0.02, a bias of 1.12%, and a coefficient of determination of 0.77. The latter encourages using a sensor with discrete wavelengths instead of a continuum spectrum to estimate the forestry's essential parameters. |
