Remote Sensing,
Год журнала:
2024,
Номер
16(2), С. 389 - 389
Опубликована: Янв. 18, 2024
We
studied
the
correspondence
between
historical
series
of
tree-ring
width
(TRW)
and
normalized
difference
vegetation
index
(NDVI,
i.e.,
greenness
index)
values
acquired
monthly
over
an
entire
year
by
unmanned
aerial
vehicles.
Dendrochronological
techniques
revealed
differentiated
responses
species
seasonality.
Pinus
engelmannii
Carrière
Juniperus
deppeana
Steudel
were
affected
warm
temperatures
(TMAX)
during
winter
prior
to
growth
benefited
from
precipitation
(PP)
seasons
spring
period.
The
standardized
precipitation–evapotranspiration
(SPEI)
confirmed
high
sensitivity
P.
drought
(r
=
0.7
SPEI).
Quercus
grisea
Liebm.
presented
a
positive
association
with
PP
at
beginning
end
its
season.
Monthly
NDVI
data
individual
tree
level
in
three
(NDVI
~0.37–0.48)
statistically
temporal
differences.
Q.
showed
drastic
decrease
dry
season
0.1)
that
had
no
impact
on
same
period,
according
climate-TRW
relationship.
conclude
relationship
is
plausible
crown
radial
growth,
although
more
extended
windows
should
be
explored.
Differences
susceptibility
found
among
would
presumably
have
implications
for
composition
these
forests
under
scenarios.
Climate smart agriculture.,
Год журнала:
2024,
Номер
1(1), С. 100008 - 100008
Опубликована: Июль 8, 2024
Continuous
and
accurate
monitoring
of
agricultural
landscapes
is
crucial
for
understanding
crop
phenology
responding
to
climatic
anthropogenic
changes.
However,
the
widely
used
optical
satellite
remote
sensing
limited
by
revisit
cycles
weather
conditions,
leading
gaps
in
monitoring.
To
address
these
limitations,
we
designed
deployed
a
Near
Surface
Camera
(NSCam)
Network
across
China,
explored
its
application
land
achieving
climate-smart
agriculture
(CSA).
By
analyzing
image
data
captured
NSCam
Network,
can
accurately
assess
long-term
or
abrupt
According
preliminary
results,
integrating
with
imagery
greatly
enhances
temporal
details
accuracy
monitoring,
aiding
managers
making
informed
decisions.
The
impacts
abnormal
conditions
human
activities
on
land,
which
are
not
imagery,
be
complemented
incorporating
our
Network.
successful
implementation
this
method
underscores
potential
broader
CSA,
promoting
resilient
sustainable
practices.
Applied Sciences,
Год журнала:
2024,
Номер
14(24), С. 12020 - 12020
Опубликована: Дек. 22, 2024
Monitoring
and
predicting
land
surface
phenology
(LSP)
are
essential
for
understanding
ecosystem
dynamics,
climate
change
impacts,
forest
agricultural
productivity.
Satellite
Earth
observation
(EO)
missions
have
played
a
crucial
role
in
the
advancement
of
LSP
research,
enabling
global
continuous
monitoring
vegetation
cycles.
This
review
provides
brief
overview
key
EO
satellite
missions,
including
advanced
very-high
resolution
radiometer
(AVHRR),
moderate
imaging
spectroradiometer
(MODIS),
Landsat
program,
which
an
important
capturing
dynamics
at
various
spatial
temporal
scales.
Recent
advancements
machine
learning
techniques
further
enhanced
prediction
capabilities,
offering
promising
approaches
short-term
cropland
suitability
assessment.
Data
cubes,
organize
multidimensional
data,
provide
innovative
framework
enhancing
analyses
by
integrating
diverse
data
sources
simplifying
access
processing.
highlights
potential
satellite-based
monitoring,
models,
cube
infrastructure
advancing
research
insights
into
current
trends,
challenges,
future
directions.
Remote Sensing,
Год журнала:
2024,
Номер
16(2), С. 389 - 389
Опубликована: Янв. 18, 2024
We
studied
the
correspondence
between
historical
series
of
tree-ring
width
(TRW)
and
normalized
difference
vegetation
index
(NDVI,
i.e.,
greenness
index)
values
acquired
monthly
over
an
entire
year
by
unmanned
aerial
vehicles.
Dendrochronological
techniques
revealed
differentiated
responses
species
seasonality.
Pinus
engelmannii
Carrière
Juniperus
deppeana
Steudel
were
affected
warm
temperatures
(TMAX)
during
winter
prior
to
growth
benefited
from
precipitation
(PP)
seasons
spring
period.
The
standardized
precipitation–evapotranspiration
(SPEI)
confirmed
high
sensitivity
P.
drought
(r
=
0.7
SPEI).
Quercus
grisea
Liebm.
presented
a
positive
association
with
PP
at
beginning
end
its
season.
Monthly
NDVI
data
individual
tree
level
in
three
(NDVI
~0.37–0.48)
statistically
temporal
differences.
Q.
showed
drastic
decrease
dry
season
0.1)
that
had
no
impact
on
same
period,
according
climate-TRW
relationship.
conclude
relationship
is
plausible
crown
radial
growth,
although
more
extended
windows
should
be
explored.
Differences
susceptibility
found
among
would
presumably
have
implications
for
composition
these
forests
under
scenarios.
