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Easy to use empirical model for green vegetation reflection spectrum in VIS-NIR range

author
Udal, Andres
Jürise, Martin
Kaugerand, Jaanus
Sell, Raivo
statement of authorship
Martin Jurise, Andres Udal, Jaanus Kaugerand, Raivo Sell
source
SPIE digital library
year of publication
2020
pages
art. 115240H-1–14
conference name, date
Eighth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2020), 16-18 March, 2020
conference location
Paphos, Cyprus
url
https://doi.org/10.1117/12.2570820
subject term
matemaatiline modelleerimine
süsteemide modelleerimine
Scopus
Conference proceeding
Article at Scopus
WOS
Article at WOS
quartile
Q4
category (general)
Mathematics
Engineering
Computer science
Physics and astronomy
Materials science
category (sub)
Mathematics. Applied mathematics
Engineering. Electrical and electronic engineering
Computer science. Computer science applications
Physics and astronomy. Condensed matter physics
Materials science. Electronic, optical and magnetic materials
keyword
vegetation
systems modeling
data modeling
mathematical modeling
infrared radiation
cameras
absorption
ISSN
0277-786X
ISBN
9781510638570
notes
Bibliogr.: 25 ref
scientific publication
teaduspublikatsioon
classifier
3.1
TalTech department
tarkvarateaduse instituut
language
inglise
Reserch Group
Autonomous vehicles
Cognitronic lab-on-a-chip research group
Laboratory of proactive technologies
Udal, A., Jürise, M., Kaugerand, J., Sell, R. Easy to use empirical model for green vegetation reflection spectrum in VIS-NIR range // SPIE digital library., 2020. art. 115240H-1–14. https://doi.org/10.1117/12.2570820