<abstract xmlns="http://www.w3.org/1999/xhtml"><p>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).</p></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).

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

Institute of Aviation, Center of Space Technologies, al. Krakowska 110/114, 02-256 Warszawa, Poland

Forest Research Institute, Department of Forest Protection, Sękocin Stary, Braci Leśnej 3, 05-090 Raszyn, Poland, phone: 48 227150823

Folia Forestalia Polonica

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

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...

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

Data publikacji: 22 gru 2015

Zakres stron: 138 - 144

Otrzymano: 30 mar 2015

Przyjęty: 10 lip 2015

DOI: https://doi.org/10.1515/ffp-2015-0014

Słowa kluczowe
remote sensing, UAV, UAS, satellite images, vegetation analysis, remote sensing indicators, multispectral images

© 2015 Paweł Czapski et al., published by De Gruyter Open

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

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

Data publikacji: 22 gru 2015

Zakres stron: 138 - 144

Otrzymano: 30 mar 2015

Przyjęty: 10 lip 2015

DOI: https://doi.org/10.1515/ffp-2015-0014

Słowa kluczoweremote sensing, UAV, UAS, satellite images, vegetation analysis, remote sensing indicators, multispectral images

© 2015 Paweł Czapski et al., published by De Gruyter Open

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

Słowa kluczowe
remote sensing, UAV, UAS, satellite images, vegetation analysis, remote sensing indicators, multispectral images