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@ARTICLE{Cogliati:276579,
author = {Cogliati, S. and Rossini, M. and Julitta, T. and Meroni, M.
and Schickling, A. and Burkart, A. and Pinto, F. and
Rascher, U. and Colombo, R.},
title = {{C}ontinuous and long-term measurements of reflectance and
sun-induced chlorophyll fluorescence by using novel
automated field spectroscopy systems},
journal = {Remote sensing of environment},
volume = {164},
issn = {0034-4257},
address = {Amsterdam [u.a.]},
publisher = {Elsevier Science},
reportid = {FZJ-2015-06944},
pages = {270 - 281},
year = {2015},
abstract = {In this paper we present novel automated field spectroscopy
systems for collecting unattended, continuous and long-term
measurements of plant canopies and, more in general, of
Earth's ecosystems. These systems simultaneously collect
high and ultra-high resolution spectra in the visible to
near-infrared (VNIR) domain employing two spectrometers: i)
the first covers the spectral range 400–1000 nm with a 1.0
nm spectral resolution; ii) the second provides a
sub-nanometer spectral resolution within the 700–800 nm
spectral range. The data collected by the first spectrometer
allow retrieval of VNIR reflectance, while the higher
spectral resolution data from the second device permit
estimation of vegetation Sun-Induced Fluorescence (SIF) in
the O2–A band. The instruments are constructed by
assembling commercial and on-the-shelf optoelectronic
devices to facilitate reproduction of the instrument for
promoting measurements over different ecosystems. The
instrument's optical design, data collection and processing,
laboratory and in-field calibration methods are reported and
discussed. The high spectral resolution and the rigorous
calibration methods enable accurate estimation of SIF in
physical units by exploiting almost the same retrieval
concept as that of the European Space Agency FLuorescence
EXplorer mission. The instruments have been operated in
several field campaigns with the aim to show: i) the
possibility of continuous and seasonal monitoring of plant
growth and activity of an agricultural crop; and ii) the
diverse and specific daily course patterns of different
types of canopy. The datasets of canopy reflectance,
vegetation indices and SIF collected are shown and
discussed.},
cin = {IBG-2},
ddc = {050},
cid = {I:(DE-Juel1)IBG-2-20101118},
pnm = {582 - Plant Science (POF3-582)},
pid = {G:(DE-HGF)POF3-582},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000356554600022},
doi = {10.1016/j.rse.2015.03.027},
url = {https://juser.fz-juelich.de/record/276579},
}