Belanović, Snežana

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THE ESA SENTINEL-2 MISSION VEGETATION VARIABLES FOR REMOTE SENSING OF PLANT MONITORING

Jaramaz, Darko; Perović, Veljko; Belanović, Snežana; Saljnikov, Elmira; Čakmak, Dragan; Mrvić, Vesna; Životić, Ljubomir

(Institute of Architecture and Urban & Spatial Planning of Serbia (IAUS), 2013)

TY  - CONF
AU  - Jaramaz, Darko
AU  - Perović, Veljko
AU  - Belanović, Snežana
AU  - Saljnikov, Elmira
AU  - Čakmak, Dragan
AU  - Mrvić, Vesna
AU  - Životić, Ljubomir
PY  - 2013
UR  - http://aspace.agrif.bg.ac.rs/handle/123456789/6766
AB  - Remote sensing is a convenient method for plant monitoring by employing vegetation
variables which is changed dynamically in time and space. Furthermore, in the last few
decades the number and quality of information that can be derived from remotely sensed
images is rapidly increased. The widespread usage of information from satellite-born
sensors provides a new tool for studying the biophysical properties of vegetation by
mapping vegetation resources and changes that arise over extended periods of time.
The European Space Agency (ESA) Sentinel-2 mission, as a part of the European Global
Monitoring for Environment (GMES) initiative, is a polar-orbiting, superspectral high
resolution imaging mission that envisaged flying a pair of satellites; the first planned to
launch in 2013. The Sentinel-2 mission combine a large swath, frequent revisit and
systematic acquisition of high-spatial resolution land surfaces imagery with a large
number of spectral bands; that will provide accurate and easily accessible data for the
environmental management. The most important impact of Sentinel-2 for plant
monitoring is expected to be the improved plant parameters: Fraction of Vegetation
Cover (FVC), Leaf Area Index (LAI), Leaf Chlorophyll Content (Cab), Fraction of
Absorbed Photosynthetically Active Radiation (FAPAR) and Leaf Water Content (Cw);
by incorporating three new spectral bands in the red-edge region, which are centered at
705, 740 and 783 nm. The goal is to improve site-specific plant management by the
retrieving different plant parameters as an input for management measures aimed to nondestructive monitoring of plant development and the detection of many environmental
stresses, which can limit plant productivity.
PB  - Institute of Architecture and Urban & Spatial Planning of Serbia (IAUS)
C3  - REGIONAL DEVELOPMENT, SPATIAL PLANNING AND STRATEGIC GOVERNANCE - RESPAG 2013 Conference Proceedings, Belgrade, Serbia
T1  - THE ESA SENTINEL-2 MISSION VEGETATION VARIABLES FOR REMOTE SENSING OF PLANT MONITORING
EP  - 961
SP  - 950
UR  - https://hdl.handle.net/21.15107/rcub_agrospace_6766
ER  - 
@conference{
author = "Jaramaz, Darko and Perović, Veljko and Belanović, Snežana and Saljnikov, Elmira and Čakmak, Dragan and Mrvić, Vesna and Životić, Ljubomir",
year = "2013",
abstract = "Remote sensing is a convenient method for plant monitoring by employing vegetation
variables which is changed dynamically in time and space. Furthermore, in the last few
decades the number and quality of information that can be derived from remotely sensed
images is rapidly increased. The widespread usage of information from satellite-born
sensors provides a new tool for studying the biophysical properties of vegetation by
mapping vegetation resources and changes that arise over extended periods of time.
The European Space Agency (ESA) Sentinel-2 mission, as a part of the European Global
Monitoring for Environment (GMES) initiative, is a polar-orbiting, superspectral high
resolution imaging mission that envisaged flying a pair of satellites; the first planned to
launch in 2013. The Sentinel-2 mission combine a large swath, frequent revisit and
systematic acquisition of high-spatial resolution land surfaces imagery with a large
number of spectral bands; that will provide accurate and easily accessible data for the
environmental management. The most important impact of Sentinel-2 for plant
monitoring is expected to be the improved plant parameters: Fraction of Vegetation
Cover (FVC), Leaf Area Index (LAI), Leaf Chlorophyll Content (Cab), Fraction of
Absorbed Photosynthetically Active Radiation (FAPAR) and Leaf Water Content (Cw);
by incorporating three new spectral bands in the red-edge region, which are centered at
705, 740 and 783 nm. The goal is to improve site-specific plant management by the
retrieving different plant parameters as an input for management measures aimed to nondestructive monitoring of plant development and the detection of many environmental
stresses, which can limit plant productivity.",
publisher = "Institute of Architecture and Urban & Spatial Planning of Serbia (IAUS)",
journal = "REGIONAL DEVELOPMENT, SPATIAL PLANNING AND STRATEGIC GOVERNANCE - RESPAG 2013 Conference Proceedings, Belgrade, Serbia",
title = "THE ESA SENTINEL-2 MISSION VEGETATION VARIABLES FOR REMOTE SENSING OF PLANT MONITORING",
pages = "961-950",
url = "https://hdl.handle.net/21.15107/rcub_agrospace_6766"
}
Jaramaz, D., Perović, V., Belanović, S., Saljnikov, E., Čakmak, D., Mrvić, V.,& Životić, L.. (2013). THE ESA SENTINEL-2 MISSION VEGETATION VARIABLES FOR REMOTE SENSING OF PLANT MONITORING. in REGIONAL DEVELOPMENT, SPATIAL PLANNING AND STRATEGIC GOVERNANCE - RESPAG 2013 Conference Proceedings, Belgrade, Serbia
Institute of Architecture and Urban & Spatial Planning of Serbia (IAUS)., 950-961.
https://hdl.handle.net/21.15107/rcub_agrospace_6766
Jaramaz D, Perović V, Belanović S, Saljnikov E, Čakmak D, Mrvić V, Životić L. THE ESA SENTINEL-2 MISSION VEGETATION VARIABLES FOR REMOTE SENSING OF PLANT MONITORING. in REGIONAL DEVELOPMENT, SPATIAL PLANNING AND STRATEGIC GOVERNANCE - RESPAG 2013 Conference Proceedings, Belgrade, Serbia. 2013;:950-961.
https://hdl.handle.net/21.15107/rcub_agrospace_6766 .
Jaramaz, Darko, Perović, Veljko, Belanović, Snežana, Saljnikov, Elmira, Čakmak, Dragan, Mrvić, Vesna, Životić, Ljubomir, "THE ESA SENTINEL-2 MISSION VEGETATION VARIABLES FOR REMOTE SENSING OF PLANT MONITORING" in REGIONAL DEVELOPMENT, SPATIAL PLANNING AND STRATEGIC GOVERNANCE - RESPAG 2013 Conference Proceedings, Belgrade, Serbia (2013):950-961,
https://hdl.handle.net/21.15107/rcub_agrospace_6766 .