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

Application of aerial hyperspectral images in monitoring tree biophysical parameters in urban areas AbstractMonitoring 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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Miscellanea Geographica de Gruyter

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

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Publisher
de Gruyter
Copyright
© 2018 University of Warsaw – Faculty of Geography and Regional Studies, published by Sciendo
ISSN
2084-6118
eISSN
2084-6118
D.O.I.
10.1515/mgrsd-2017-0034
Publisher site
See Article on Publisher Site

Abstract

AbstractMonitoring 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.

Journal

Miscellanea Geographicade Gruyter

Published: Mar 30, 2018

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