<abstract xmlns="http://www.w3.org/1999/xhtml"><p>Monitoring of trees in urban areas can be conducted using remote sensing, but should be supported by field measurements. The article aims to present the research method used to evaluate discolouration and defoliation of trees and tree damage in the city of Białystok in Poland. The analyses were done using AISA hyperspectral images. Field measurements encompassed determining the locations, species and levels of discolouration and defoliation of trees. Remote sensing indices of vegetation were calculated and correlated with the field-measured values of discolouration and defoliation. Based on that, values of discolouration and defoliation were calculated and evaluated against the field studies. The RMSE of the acquired data was around 16%. Using parameter values, a map of tree damage was drawn up. Based on the analysis, it can be stated that a significant number of trees is undamaged, although a large portion of the trees falls into the warning class.</p></abstract>

Monitoring of trees in urban areas can be conducted using remote sensing, but should be supported by field measurements. The article aims to present the research method used to evaluate discolouration and defoliation of trees and tree damage in the city of Białystok in Poland. The analyses were done using AISA hyperspectral images. Field measurements encompassed determining the locations, species and levels of discolouration and defoliation of trees. Remote sensing indices of vegetation were calculated and correlated with the field-measured values of discolouration and defoliation. Based on that, values of discolouration and defoliation were calculated and evaluated against the field studies. The RMSE of the acquired data was around 16%. Using parameter values, a map of tree damage was drawn up. Based on the analysis, it can be stated that a significant number of trees is undamaged, although a large portion of the trees falls into the warning class.

Application of aerial hyperspectral images in monitoring tree biophysical parameters in urban areas

Miscellanea Geographica

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Monitoring of trees in urban areas can be conducted using remote sensing, but should be supported by field measurements. The article aims to present the...

Variable		mNDVI705	SIPI	PSRI
Discolouration	Pearson’s correlation coefficient	-0.64	0.64	0.66
	regression equation	y = -75 ln(x) - 33.101	y = 413.95 ln(x) + 0.7012	y = 422.32x + 1.9608
	coefficients of determination R²	0.5088	0.4020	0.4365
Defoliation	Pearson’s correlation coefficient	-0.56	0.76	0.71
	regression equation	y = -66.17 ln(x) - 29.177	y = 511.95 ln(x) - 2.7063	y = 475.26x - 0.2346
	coefficients of determination R²	0.3651	0.5666	0.5095

Class and values		Discolouration
Class and values		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

Application of aerial hyperspectral images in monitoring tree biophysical parameters in urban areas

Published Online: Mar 30, 2018

Page range: 56 - 62

Received: Oct 23, 2017

Accepted: Jan 31, 2018

DOI: https://doi.org/10.1515/mgrsd-2017-0034

Keywords
AISA, Białystok, discolouration, defoliation, vegetation indices

© 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)

Tree damage classes based on discolouration and defoliation values

Application of aerial hyperspectral images in monitoring tree biophysical parameters in urban areas

Published Online: Mar 30, 2018

Page range: 56 - 62

Received: Oct 23, 2017

Accepted: Jan 31, 2018

DOI: https://doi.org/10.1515/mgrsd-2017-0034

KeywordsAISA, Białystok, discolouration, defoliation, vegetation indices

© 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)

Tree damage classes based on discolouration and defoliation values

Keywords
AISA, Białystok, discolouration, defoliation, vegetation indices