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

Simple item record

Full item record

dc.contributor.authorCzapski, Paweł
dc.contributor.authorKacprzak, Mariusz
dc.contributor.authorKotlarz, Jan
dc.contributor.authorMrowiec, Karol
dc.contributor.authorKubiak, Katarzyna
dc.contributor.organizationInstitute of Aviation, Center of Space Technologies, Warszawa, Polandpl_PL
dc.contributor.organizationForest Research Institute, Department of Forest Protection, Sękocin Starypl_PL
dc.date.accessioned2015-12-11T14:47:31Z
dc.date.available2015-12-11T14:47:31Z
dc.date.issued2015-12-10
dc.description.abstractThe 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).pl_PL
dc.description.epersonPrzemysław Szmit
dc.identifier.doi10.1515/ffp-2015-0014
dc.identifier.urihttps://open.icm.edu.pl/handle/123456789/8242
dc.language.isoenpl_PL
dc.publisherForest Research Institute, Sekocin Stary, Polandpl_PL
dc.rightsUznanie autorstwa-Na tych samych warunkach 3.0 Polska
dc.rights.urihttp://creativecommons.org/licenses/by-sa/3.0/pl/
dc.subjectmultispectral imagespl_PL
dc.subjectremote sensing indicatorspl_PL
dc.subjectvegetation analysispl_PL
dc.subjectsatellite imagespl_PL
dc.subjectUASpl_PL
dc.subjectUAVpl_PL
dc.subjectremote sensingpl_PL
dc.titlePreliminary analysis of the forest health state based on multispectral images acquired by Unmanned Aerial Vehiclepl_PL
dc.typearticlepl_PL
Files for this record
Original bundle
Now showing 1 - 1 of 1
Name: DOI 10.1515-ffp-2015-0014.pdf
Size: 1.42 MB
Format: Adobe Portable Document Format
Description:
Download
License files
Name: license.txt
Size: 433 B
Format: Item-specific license agreed upon to submission
Description:
Download
Belongs to collection
Artykuły / Articles