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Preliminary analysis of the forest health state based on multispectral images acquired by Unmanned Aerial Vehicle Cover

Preliminary analysis of the forest health state based on multispectral images acquired by Unmanned Aerial Vehicle

Open Access
|Dec 2015

Abstract

The main purpose of this publication is to present the current progress of the work associated with the use of a lightweight unmanned platforms for various environmental studies. Current development in information technology, electronics and sensors miniaturisation allows mounting multispectral cameras and scanners on unmanned aerial vehicle (UAV) that could only be used on board aircraft and satellites. Remote Sensing Division in the Institute of Aviation carries out innovative researches using multisensory platform and lightweight unmanned vehicle to evaluate the health state of forests in Wielkopolska province. In this paper, applicability of multispectral images analysis acquired several times during the growing season from low altitude (up to 800m) is presented. We present remote sensing indicators computed by our software and common methods for assessing state of trees health. The correctness of applied methods is verified using analysis of satellite scenes acquired by Landsat 8 OLI instrument (Operational Land Imager).

DOI: https://doi.org/10.1515/ffp-2015-0014 | Journal eISSN: 2199-5907 | Journal ISSN: 0071-6677
Language: English
Page range: 138 - 144
Submitted on: Mar 30, 2015
Accepted on: Jul 10, 2015
Published on: Dec 22, 2015
Published by: Forest Research Institute
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2015 Paweł Czapski, Mariusz Kacprzak, Jan Kotlarz, Karol Mrowiec, Katarzyna Kubiak, Miłosz Tkaczyk, published by Forest Research Institute
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.