UAV Spectral Image Mapping of Shoreline Vegetation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F18%3A39913432" target="_blank" >RIV/00216275:25410/18:39913432 - isvavai.cz</a>
Result on the web
<a href="https://www.gim-international.com/content/article/uav-spectral-image-mapping-of-shoreline-vegetation" target="_blank" >https://www.gim-international.com/content/article/uav-spectral-image-mapping-of-shoreline-vegetation</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
UAV Spectral Image Mapping of Shoreline Vegetation
Original language description
Rapid identification of a clear water surface, shoreline and vegetation can serve as a means of monitoring of the water level and as an important indicator of changes. In cases when a high level of detail or on-demand data collection is required, unmanned aerial vehicles (UAVs or ‘drones’) can provide a good service. It is important to think about the costs of the UAV and the connected sensors as well. Multispectral and thermal cameras are still very expensive in comparison to visible cameras. This article shows how a commercially available middle-class drone (DJI Phantom 3 with built-in camera), which collects data only in the visible spectral bands and is affordable even for individuals, can be easily used to calculate colour spectral indices to identify shoreline, vegetation and water.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
GIM International
ISSN
1566-9076
e-ISSN
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Volume of the periodical
32
Issue of the periodical within the volume
6
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
2
Pages from-to
26-27
UT code for WoS article
000456315300021
EID of the result in the Scopus database
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