Calculation of Visible Spectral Indices from UAV-Based Data: Small Water Bodies Monitoring
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F19%3A39914629" target="_blank" >RIV/00216275:25410/19:39914629 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.23919/CISTI.2019.8760609" target="_blank" >http://dx.doi.org/10.23919/CISTI.2019.8760609</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.23919/CISTI.2019.8760609" target="_blank" >10.23919/CISTI.2019.8760609</a>
Alternative languages
Result language
angličtina
Original language name
Calculation of Visible Spectral Indices from UAV-Based Data: Small Water Bodies Monitoring
Original language description
The paper describes utilization of an unmanned aerial vehicle (UAV) for detection of changes of small water areas and surrounding land cover. UAV is used as a cheap and on-demand available solution for remote data sensing. Its utilization is highly limited by legal regulations and weather conditions. The paper is focused on a monitoring of a small water body by means of vegetation spectral indices, which are calculated only from the visible part of the electromagnetic spectrum. The Normalized Excess Green Index (NExG), Normalized Green-Red Difference Index (NGRDI), Red-Green-Blue Vegetation Index (RGBVI), Green Leaf Index (GLI), Visible Atmospherically Resistant Index (VARI), and Vegetation Index of Excess Green (ExG) are used to classify the collected imagery and identify particular land cover types.
Czech name
—
Czech description
—
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<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2019
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
ISBN
978-989-98434-9-3
ISSN
2166-0727
e-ISSN
2166-0727
Number of pages
5
Pages from-to
1-5
Publisher name
IEEE (Institute of Electrical and Electronics Engineers)
Place of publication
New York
Event location
Coimbra
Event date
Jun 19, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000492038200020