Comparison of Vegetation Spectral Indices Based on UAV Data : Land Cover Identification Near Small Water Bodies
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F20%3A39916156" target="_blank" >RIV/00216275:25410/20:39916156 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.23919/CISTI49556.2020.9140899" target="_blank" >http://dx.doi.org/10.23919/CISTI49556.2020.9140899</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.23919/CISTI49556.2020.9140899" target="_blank" >10.23919/CISTI49556.2020.9140899</a>
Alternative languages
Result language
angličtina
Original language name
Comparison of Vegetation Spectral Indices Based on UAV Data : Land Cover Identification Near Small Water Bodies
Original language description
Middle- and low-class unmanned aerial vehicles (UAV) can be used for land cover/land use identification on demand even when equipped only with an RGB camera. UAV is used as a cheap and on-demand available solution for remote data sensing for smaller areas, with respect to legal regulations and weather conditions. The paper is focused on land cover identification near a small water body, which is based on RGB data collected by UAV and on vegetation spectral indices. Various vegetation indices based on calculating with RGB bands are used to process the collected imagery and identify particular land cover types. NGRDI, GLI2 and VARI provided the most accurate results.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
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
Iberian Conference on Information Systems and Technologies, CISTI , volume 2020-June
ISBN
978-989-54-6590-3
ISSN
2166-0727
e-ISSN
2166-0727
Number of pages
5
Pages from-to
9140899
Publisher name
IEEE (Institute of Electrical and Electronics Engineers)
Place of publication
New York
Event location
Sevilla
Event date
Jun 24, 2020
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
000612720600098