<s>
DART	O
(	O
Discrete	O
anisotropic	O
radiative	O
transfer	O
)	O
is	O
a	O
3D	O
radiative	O
transfer	O
model	O
,	O
designed	O
for	O
scientific	O
research	O
,	O
in	O
particular	O
remote	B-Application
sensing	I-Application
.	O
</s>
<s>
Its	O
approach	O
combines	O
the	O
ray	B-Algorithm
tracing	I-Algorithm
and	O
the	O
discrete	O
ordinate	O
methods	O
.	O
</s>
<s>
In	O
this	O
context	O
,	O
Earth	O
observation	O
from	O
space	O
(	O
i.e.	O
,	O
space	O
remote	B-Application
sensing	I-Application
)	O
is	O
an	O
indispensable	O
tool	O
,	O
due	O
to	O
its	O
unique	O
potential	O
to	O
provide	O
synoptic	O
and	O
continuous	O
surveys	O
of	O
the	O
Earth	O
,	O
at	O
different	O
time	O
and	O
space	O
scales	O
.	O
</s>
<s>
It	O
comes	O
also	O
from	O
the	O
complexity	O
of	O
satellite	O
remote	B-Application
sensing	I-Application
space	O
and	O
from	O
its	O
links	O
to	O
quantities	O
that	O
characterize	O
Earth	O
functioning	O
.	O
</s>
<s>
Modelling	O
radiative	O
transfer	O
in	O
heterogeneous	O
3-D	O
vegetation	O
canopies	O
,	O
1996	O
,	O
Gastellu-Etchegorry	O
JP	O
,	O
Demarez	O
V	O
,	O
Pinel	O
V	O
,	O
Zagolski	O
F	O
,	O
Remote	B-Application
sensing	I-Application
of	O
Environment	O
,	O
58:131	O
–	O
156	O
.	O
</s>
<s>
Retrieval	O
of	O
spruce	O
leaf	O
chlorophyll	O
content	O
from	O
airborne	O
image	O
data	O
using	O
continuum	O
removal	O
and	O
radiative	O
transfer	O
,	O
2013	O
,	O
Malenovský	O
Z.	O
,	O
Homolová	O
L.	O
,	O
Zurita-Milla	O
R.	O
,	O
Lukeš	O
P.	O
,	O
Kapland	O
V.	O
,	O
Hanuš	O
J.	O
,	O
Gastellu-Etchegorry	O
J.P.	O
,	O
Schaepman	O
M.	O
,	O
Remote	B-Application
sensing	I-Application
of	O
Environment	O
.	O
</s>
<s>
A	O
new	O
approach	O
of	O
direction	O
discretization	O
and	O
oversampling	O
for	O
3D	O
anisotropic	O
radiative	O
transfer	O
modeling	O
,	O
2013	O
,	O
Yin	O
T.	O
,	O
Gastellu-Etchegorry	O
J.P.	O
,	O
Lauret	O
N.	O
,	O
Grau	O
E.	O
,	O
Rubio	O
J.	O
,	O
Remote	B-Application
Sensing	I-Application
of	O
Environment	O
.	O
</s>
<s>
Directional	O
viewing	O
effects	O
on	O
satellite	O
Land	O
Surface	O
Temperature	O
products	O
over	O
sparse	O
vegetation	O
canopies	O
–	O
A	O
multi-sensor	O
analysis	O
,	O
2013	O
,	O
Guillevic	O
P.C.	O
,	O
Bork-Unkelbach	O
A.	O
,	O
Göttsche	O
F.M.	O
,	O
Hulley	O
G.	O
,	O
Gastellu-Etchegorry	O
J.P.	O
,	O
Olesen	O
F.S	O
and	O
Privette	O
J.L.	O
,	O
IEEE	O
Geoscience	O
and	O
Remote	B-Application
sensing	I-Application
,	O
10	O
,	O
1464	O
–	O
1468	O
.	O
</s>
<s>
Leiterer	O
R.	O
,	O
Morsdorf	O
F.	O
,	O
Gastellu-Etchegorry	O
J.P.	O
,	O
Lauret	O
N.	O
,	O
Pfeifer	O
N.	O
,	O
Schaepman	O
M.E.	O
,	O
Remote	B-Application
Sensing	I-Application
of	O
Environment	O
,	O
152	O
:	O
235	O
–	O
250	O
.	O
</s>
<s>
Discrete	O
anisotropic	O
radiative	O
transfer	O
(	O
DART	O
5	O
)	O
for	O
modeling	O
airborne	O
and	O
satellite	O
spectroradiometer	O
and	O
LIDAR	O
acquisitions	O
of	O
natural	O
and	O
urban	O
landscapes	O
,	O
2015	O
,	O
Gastellu-Etchegorry	O
J.P.	O
,	O
Yin	O
T.	O
,	O
Lauret	O
N.	O
,	O
2015	O
,	O
Remote	B-Application
Sensing	I-Application
,	O
7	O
,	O
1667	O
–	O
1701	O
:	O
doi	O
:	O
10.3390/rs70201667	O
.	O
</s>
<s>
A	O
LUT-Based	O
Inversion	O
of	O
DART	O
Model	O
to	O
Estimate	O
Forest	O
LAI	O
from	O
Hyperspectral	O
Data	O
,	O
2015	O
,	O
Banskota	O
A.	O
,	O
Serbin	O
S	O
.	O
P.	O
,	O
Wynne	O
R	O
.	O
H.	O
,	O
Thomas	O
V.A.	O
,	O
Falkowski	O
M.J.	O
,	O
Kayastha	O
N.	O
,	O
Gastellu-Etchegorry	O
J.P.	O
,	O
Townsend	O
P.A.	O
,	O
IEEE	O
Geoscience	O
and	O
Remote	B-Application
sensing	I-Application
,	O
JSTARS-2014-00702.R1	O
,	O
in	O
press	O
.	O
</s>
<s>
Simulating	O
images	O
of	O
passive	O
sensors	O
with	O
finite	O
field	O
of	O
view	O
by	O
coupling	O
3-D	O
radiative	O
transfer	O
model	O
and	O
sensor	O
perspective	O
projection	O
,	O
2015	O
,	O
Yin	O
T.	O
,	O
Lauret	O
N	O
.	O
and	O
Gastellu-Etchegorry	O
J.P.	O
,	O
Remote	B-Application
Sensing	I-Application
of	O
Environment	O
,	O
accepted	O
.	O
</s>
