Preliminary analysis of the forest health state based on multispectral images acquired by Unmanned Aerial Vehicle
Autorzy
- Paweł Czapski Institute of Aviation, Center of Space Technologies, al. Krakowska 110/114, 02-256 Warszawa, Poland
- Mariusz Kacprzak Institute of Aviation, Center of Space Technologies, al. Krakowska 110/114, 02-256 Warszawa, Poland
- Jan Kotlarz Institute of Aviation, Center of Space Technologies, al. Krakowska 110/114, 02-256 Warszawa, Poland
- Karol Mrowiec Institute of Aviation, Center of Space Technologies, al. Krakowska 110/114, 02-256 Warszawa, Poland
- Katarzyna Kubiak Forest Research Institute, Department of Forest Protection, Sękocin Stary, Braci Leśnej 3, 05-090 Raszyn, Poland
-
Miłosz Tkaczyk
Forest Research Institute, Department of Forest Protection,
Sękocin Stary, Braci Leśnej 3, 05-090 Raszyn, Poland
e-mail: M.Tkaczyk@ibles.waw.pl
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 800 m) 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).
Keywords
| DOI | 10.1515/ffp-2015-0014 |
|---|---|
| Source | Folia Forestalia Polonica, Series A – Forestry |
| Print ISSN | 0071-6677 |
| Online ISSN |
2199-5907 |
| Type of article |
original article |
| Original title |
Preliminary analysis of the forest health state based on multispectral images acquired by Unmanned Aerial Vehicle |
| Publisher | The Committee on Forestry Sciences and Wood Technology of the Polish Academy of Sciences and the Forest Research Institute in Sekocin Stary |
| Date | 15/09/2015 |
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