Forest Ecosystems,
Journal Year:
2023,
Volume and Issue:
10, P. 100122 - 100122
Published: Jan. 1, 2023
Tree
species
diversity
is
vital
for
maintaining
ecosystem
functions,
yet
our
ability
to
map
the
distribution
of
tree
limited
due
difficulties
in
traditional
field-based
approaches.
Recent
developments
spaceborne
remote
sensing
provide
unprecedented
opportunities
and
monitor
more
efficiently.
Here
we
built
partial
least
squares
regression
models
using
multispectral
surface
reflectance
acquired
by
Sentinel-2
satellites
inventory
data
from
74
subtropical
forest
plots
predict
canopy
a
national
natural
reserve
eastern
China.
In
particular,
evaluated
underappreciated
roles
practical
definition
phenological
variation
predicting
testing
three
different
definitions
trees
comparing
satellite
imagery
seasons.
Our
best
explained
42%–63%
variations
observed
diversities
cross-validation
tests,
with
higher
explanation
power
indices
that
are
sensitive
abundant
species.
The
imageries
early
spring
late
autumn
showed
consistently
better
fits
than
those
other
seasons,
highlighting
significant
role
transitional
phenology
remotely
plant
diversity.
results
suggested
cumulative
diameter
(60%–80%)
biggest
way
define
layer
subjective
fixed-diameter-threshold
(5–12
cm)
or
basal
area
(90%–95%)
trees.
Remarkably,
these
approaches
resulted
contrasting
maps
call
attention
structure
This
study
demonstrates
potential
mapping
monitoring
Sentinal-2
species-rich
forests.
Ecological Monographs,
Journal Year:
2024,
Volume and Issue:
94(3)
Published: May 6, 2024
Abstract
Imaging
spectroscopy
is
emerging
as
a
leading
remote
sensing
method
for
quantifying
plant
biodiversity.
The
spectral
variation
hypothesis
predicts
that
in
hyperspectral
reflectance
related
to
taxonomic
and
functional
identity.
While
most
studies
report
some
correlation
between
field‐based
(i.e.,
functional)
expressions
of
biodiversity,
the
observed
strength
association
highly
variable,
utility
applying
community
properties
examine
environmental
drivers
communities
remains
unknown.
We
linked
data
acquired
by
airborne
imaging
spectrometers
with
precisely
geolocated
field
plots
along
temperate‐to‐boreal
forest
gradient
southern
Québec,
Canada.
First,
we
degree
dimensions
canopy
tree
composition
diversity.
Second,
ask
whether
relationships
environment
are
reproduced
when
using
properties.
found
support
generally
greater
than
dimension,
but
was
variable
dependent
on
choice
or
metric
used
quantify
Using
multivariate
approach
(comparisons
separate
ordinations),
moderately
well
correlated
composition;
however,
increased
univariately
relating
main
axes
compositional
variation.
Spectral
diversity
tightly
associated
metrics
richness
divergence.
For
predicting
variables,
same
qualitative
conclusions
emerge
used.
Spatial
patterns
were
strongly
turnover
from
communities,
explained
elevation.
provide
straightforward
way
biodiversity
across
large
spatial
extents
without
need
priori
observations.
commonly
framed
potential
tool
monitoring,
show
can
be
applied
more
widely
assess
thereby
helping
advance
our
understanding
biogeographical
communities.
SN Social Sciences,
Journal Year:
2022,
Volume and Issue:
2(8)
Published: July 25, 2022
Abstract
A
large
body
of
research
across
science
and
humanities
has
come
to
deal
with
diversity,
which,
as
a
scientific
concept,
proved
immensely
relevant
in
helping
researchers
understand
anything
from
ecosystems
natural
habitats
cities
culture.
Here,
we
develop
first
method
quantify
map
urban
diversity.
Our
article
begins
concrete
example
through
which
demonstrate
how
apply
basic
version
our
create
diversity
for
given
area.
This
is
easy
interpret
can
be
used
accurately
locate
the
most
diverse
centers
activity.
We
then
go
on
show
expanded
many
different
types
it
regional
global
maps.
Such
maps
are
both
studying
modeling
dynamics
diversification
environments.
conclude
by
making
bridge
other
disciplines,
proposing
six
key
steps
that
may
serve
foundation
general
framework
evaluation
mapping
all
fields
science.
Methods in Ecology and Evolution,
Journal Year:
2022,
Volume and Issue:
13(9), P. 1866 - 1884
Published: July 28, 2022
Abstract
1.
Each
year,
the
National
Ecological
Observatory
Network's
(NEON)
Airborne
Observation
Platform
(AOP)
collects
high‐resolution
hyperspectral
imagery,
discrete
and
waveform
lidar,
digital
photography
at
a
subset
of
81
terrestrial
aquatic
research
sites
throughout
United
States.
These
open
remote
sensing
data,
together
with
NEON
in
situ
sensor
measurements
field
observations,
enable
researchers
to
characterize
ecological
processes
multiple
spatial
temporal
scales.
2.
Here
we
describe
sampling
design
for
AOP
that
aims
meet
diverse
needs
science
community
within
operational
constraints
affecting
airborne
data
collection.
Our
protocol
captures
instrumented
systems,
plots
environmental
gradients
around
each
site
while
considering
context
airspace
restrictions
instrument
capabilities.
We
use
time
series
moderate
resolution
imaging
spectroradiometer
(MODIS)
satellite
PhenoCam
near‐surface
observations
define
windows
based
on
vegetation
peak
foliar
greenness.
developed
probabilistic
model
MODIS
reflectance
imagery
Monte
Carlo
simulation
estimate
durations
cloud‐free
collection
site.
3.
Agreement
estimated
phenophase
transition
dates
between
Enhanced
Vegetation
Index
Green
Chromatic
Coordinate
varied
by
class.
Results
from
both
sensors
show
some
classes
have
relatively
consistent
interannual
greenness
start‐
end‐dates,
others
experience
high
year‐to‐year
variability
green‐up
senescence.
In
addition
phenological
among
sites,
certain
forms
demonstrate
distinct,
asynchronous
responses
climate,
resulting
non‐overlapping
periods
single
flight
campaigns
showed
cloud‐likelihood
underestimated
actual
cloud
conditions
13%–26%,
depending
probability
used.
4.
Where
or
intra‐site
phenology
is
highly
variable
clouds
are
persistent
problem,
it
becomes
challenging
schedule
domain
deployments
so
all
flown
their
communities
Despite
limitations,
application
models
results
significant
improvements
quality.
Although
most
applicable
lidar
instruments
piloted
aircraft,
these
methods
may
be
valuable
resource
deployment
Unmanned
Aerial
Vehicles
research.
Forest Ecosystems,
Journal Year:
2023,
Volume and Issue:
10, P. 100122 - 100122
Published: Jan. 1, 2023
Tree
species
diversity
is
vital
for
maintaining
ecosystem
functions,
yet
our
ability
to
map
the
distribution
of
tree
limited
due
difficulties
in
traditional
field-based
approaches.
Recent
developments
spaceborne
remote
sensing
provide
unprecedented
opportunities
and
monitor
more
efficiently.
Here
we
built
partial
least
squares
regression
models
using
multispectral
surface
reflectance
acquired
by
Sentinel-2
satellites
inventory
data
from
74
subtropical
forest
plots
predict
canopy
a
national
natural
reserve
eastern
China.
In
particular,
evaluated
underappreciated
roles
practical
definition
phenological
variation
predicting
testing
three
different
definitions
trees
comparing
satellite
imagery
seasons.
Our
best
explained
42%–63%
variations
observed
diversities
cross-validation
tests,
with
higher
explanation
power
indices
that
are
sensitive
abundant
species.
The
imageries
early
spring
late
autumn
showed
consistently
better
fits
than
those
other
seasons,
highlighting
significant
role
transitional
phenology
remotely
plant
diversity.
results
suggested
cumulative
diameter
(60%–80%)
biggest
way
define
layer
subjective
fixed-diameter-threshold
(5–12
cm)
or
basal
area
(90%–95%)
trees.
Remarkably,
these
approaches
resulted
contrasting
maps
call
attention
structure
This
study
demonstrates
potential
mapping
monitoring
Sentinal-2
species-rich
forests.