Application of aerial hyperspectral images in monitoring tree biophysical parameters in urban areas
, y
30 mar 2018
Acerca de este artículo
Publicado en línea: 30 mar 2018
Páginas: 56 - 62
Recibido: 23 oct 2017
Aceptado: 31 ene 2018
DOI: https://doi.org/10.1515/mgrsd-2017-0034
Palabras clave
© 2018 University of Warsaw – Faculty of Geography and Regional Studies, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.
Figure 1
Figure 2
Figure 3
Figure 4
Results of the statistical analysis: Pearson’s correlation coefficient, regression equation and coefficients of determination R2 calculated for values of selected vegetation indices and biophysical parameters acquired during field measurements (N=30, p<0_05)
| Variable | mNDVI705 | SIPI | PSRI | |
|---|---|---|---|---|
| Discolouration | Pearson’s correlation coefficient | -0.64 | 0.64 | 0.66 |
| regression equation | ||||
| coefficients of determination R2 | 0.5088 | 0.4020 | 0.4365 | |
| Defoliation | Pearson’s correlation coefficient | -0.56 | 0.76 | 0.71 |
| regression equation | ||||
| coefficients of determination R2 | 0.3651 | 0.5666 | 0.5095 | |
Tree damage classes based on discolouration and defoliation values
| Class and values | Discolouration | ||||
|---|---|---|---|---|---|
| 0-10% | 11-25% | 26-60% | >60% | ||
| Defoliation | 0-10% | 0 | 0 | 1 | 2 |
| 11-25% | 1 | 1 | 2 | 2 | |
| 26-60% | 2 | 2 | 3 | 3 | |
| >60% | 3 | 3 | 3 | 3 | |