OPTIMIZED POST-PROCESSING OF MULTIPLE UAV IMAGES FOR FORESTRY INSPECTIONS
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F20%3A00342135" target="_blank" >RIV/68407700:21110/20:00342135 - isvavai.cz</a>
Result on the web
<a href="https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B1-2020/15/2020/isprs-archives-XLIII-B1-2020-15-2020.pdf" target="_blank" >https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B1-2020/15/2020/isprs-archives-XLIII-B1-2020-15-2020.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.5194/isprs-archives-XLIII-B1-2020-15-2020" target="_blank" >10.5194/isprs-archives-XLIII-B1-2020-15-2020</a>
Alternative languages
Result language
angličtina
Original language name
OPTIMIZED POST-PROCESSING OF MULTIPLE UAV IMAGES FOR FORESTRY INSPECTIONS
Original language description
The following paper discusses possible optimized post-processing and data tracking of UAV imagery for forestry inspection. The survey took place in the National Natural Reserve Božídarské rašeliniště – The Wetland of Božídar from 2015 till now. The purpose of this study is to provide with a suitable post-processing method of UAV images in a protected area with no necessity of human interaction with the species. The authors used UAV imagery from RGB and multispectral sensors. The focus of the paper is the post-processing which relies solely on open-source tools. The results of the paper are a script for automatic computation of vegetation indices, a script for canopy height model in a certain part of the mapped area a possible GIS solution for storing and tracking the data.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
21100 - Other engineering and technologies
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
International archives of the photogrammetry, remote sensing and spatial information sciences.
ISBN
—
ISSN
2194-9034
e-ISSN
2194-9034
Number of pages
5
Pages from-to
15-19
Publisher name
International Society of Photogrammetry and Remote Sensing
Place of publication
Nice
Event location
Nice
Event date
Aug 31, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—