E3S Web Conf.
Volume 99, 2019Central Asian DUst Conference (CADUC 2019)
|Number of page(s)||4|
|Section||Impacts of atmospheric dust|
|Published online||18 June 2019|
Analysis of Persian Oak (Quercus Brantii Lindl)’s Spectral- Temporal Behaviour Under the Stresses of Water Deficiency and Dust Particles
Department of RS&GIS, Faculty of Geography, University of Tehran, Iran
2 Department of Soil, Faculty of Agriculture, Tarbiat Modares University, Iran
3 Department of Electrical Engineering-Sadra Institute of Higher Education, Iran
4 Aerospace Research Institute, Ministry of Science, Research and Technology of Iran, Iran
* Corresponding author: firstname.lastname@example.org
Persian oak (Quercus Brantii Lindl) is the most abundant tree species in Zagros mountain range that is affected by western dust storms and harsh droughts in recent years. The lack of spectral-temporal information about these trees has caused limitations on the usage of remote sensing images to make a synoptic estimation of damages caused by dust storms and drought. The objective of this research is to analyse the spectral-temporal behaviour of Persian oak under the stress of water deficiency and dust storms. The aim is to improve the competitive abilities of experts on modelling the stress of water deficiency and dust storms on trees using remote sensing images. For the purpose of this experimental investigation, a greenhouse laboratory has been built. Analysis of the experiments was carried out using 54 two-year-old oak tree seedlings; Fieldspec-3-ADD; and wind tunnel at the greenhouse of the faculty of agriculture of the Tarbiat Modares University in 2016. Results show that the water stress could be modelled much better using geometrical indices extracted from continuum removed spectrum. Area and the depth were best indices. Water stress has been modelled better that dust stress.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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