Remote Sensing,
Journal Year:
2025,
Volume and Issue:
17(9), P. 1491 - 1491
Published: April 23, 2025
Seasonally
dry
tropical
forests
(SDTFs)
represent
about
41.5%
of
the
planet’s
forests.
The
objective
this
study
was
to
characterize
annual
mortality
and
recruitment
patterns
stems
trees
between
years
2012–2021
in
a
Caatinga
remnant
state
Pernambuco,
Brazil,
through
geostatistical
modeling,
associate
drought
events
recorded
region
with
vegetation
dynamics.
Mortality
were
monitored
80
permanent
plots
located
an
SDTF
remnant,
counted
year
by
2012
2021.
standardized
precipitation
index
(SPI)
calculated
quantify
deficit
or
excess
rainfall
evaluated
period.
data
then
subjected
analysis
based
on
calculation
classical
semivariances.
As
result,
there
loss
68.33%
61.93%
forest
community
during
2012–2021,
which
associated
water
caused
SPI
for
region.
Gaussian
semivariogram
model
better
represented
spatial
variability
trees.
An
accumulative
effect
droughts
increasing
rates
reducing
period
observed.
relationship
tree
stem
highlights
impact
vegetation,
emphasizing
importance
considering
extreme
climatic
proper
management
natural
resources.
Remote Sensing,
Journal Year:
2023,
Volume and Issue:
15(7), P. 1857 - 1857
Published: March 30, 2023
Satellite-derived
Land
Surface
Temperature
(LST)
dynamics
have
been
increasingly
used
to
study
various
geophysical
processes.
This
review
provides
an
extensive
overview
of
the
applications
LST
in
context
global
change.
By
filtering
a
selection
relevant
keywords,
total
164
articles
from
14
international
journals
published
during
last
two
decades
were
analyzed
based
on
location,
research
topic,
applied
sensor,
spatio-temporal
resolution
and
scale
employed
analysis
methods.
It
was
revealed
that
China
USA
most
studied
countries
those
had
first
author
affiliations.
The
prominent
topic
Urban
Heat
Island
(SUHI),
while
topics
related
climate
change
underrepresented.
MODIS
by
far
sensor
system,
followed
Landsat.
A
relatively
small
number
studies
or
continental
scale.
use
highly
determined
periods:
majority
started
around
year
2000
thus
period
shorter
than
25
years.
following
suggestions
made
increase
utilization
time
series
research:
prolongation
by,
e.g.,
using
AVHRR
LST,
better
representation
under
clouds,
comparison
traditional
measures,
such
as
air
temperature
reanalysis
variables,
extension
validation
heterogenous
sites.
Foods,
Journal Year:
2023,
Volume and Issue:
12(13), P. 2494 - 2494
Published: June 27, 2023
The
growing
interest
in
a
healthy
lifestyle
has
contributed
to
disseminating
perspectives
on
more
sustainable
natural
resource
management.
This
review
describes
promising
aspects
of
using
cacti
the
food
industry,
addressing
sustainable,
nutritional,
and
functional
plant’s
production.
Our
study
provides
an
overview
potential
for
industry
encourage
cultivation
underutilized
cactus
species
their
commercial
exploitation.
production
advantages
over
other
agricultural
practices
by
mitigating
damage
ecosystems
encouraging
migration
agriculture.
application
ingredients
development
been
broad,
whether
producing
breads,
jellies,
gums,
dyes,
probiotics,
postbiotic
paraprobiotic
foods.
However,
field
probiotic
foods,
future
research
should
focus
technologies
applied
processing
researching
interactions
between
probiotics
raw
materials
determine
functionality
bioactivity
products.
Sustainability,
Journal Year:
2022,
Volume and Issue:
14(11), P. 6935 - 6935
Published: June 6, 2022
Forest
fires
destroy
productive
land
throughout
the
world.
In
Brazil,
mainly
Northeast
of
Brazil
(NEB)
is
strongly
affected
by
forest
and
bush
fires.
Similarly,
there
no
adequate
study
long-term
data
from
ground
satellite-based
estimation
fire
foci
in
NEB.
The
objectives
this
are:
(i)
to
evaluate
spatiotemporal
NEB
biomes
via
environmental
satellites
during
long
term
over
1998–2018,
(ii)
characterize
degradation
orbital
products
obtained
Burn
Database
(BDQueimadas)
for
1794
municipalities.
variation
estimated
statistically
(descriptive,
exploratory
multivariate
statistics)
Normalized
Difference
Vegetation
Index
(NDVI),
Enhanced
(EVI)
Standardized
Precipitation
(SPI)
through
Climate
Hazards
Group
InfraRed
Station
(CHIRPS).
Moreover,
we
identify
10
homogeneous
groups
(G1–G10)
with
a
total
variance
76.5%.
G1
group
most
extended
group,
along
G2
exception
being
G3
group.
G4–G10
have
high
percentage
hotspots,
more
values
municipality
Grajaú,
which
belongs
agricultural
consortium.
gradient
coast
interior
directly
associated
use/land
cover
(LULC)
changes,
where
sparse
vegetation
category
areas
without
are
involved.
Caatinga
Cerrado
lose
vegetation,
unlike
Amazon
Atlantic
biomes.
detected
result
consortia.
Additionally,
two
periods
2003–2006
2013–2018
show
severe
prolonged
drought
due
action
El
Niño.
Land,
Journal Year:
2023,
Volume and Issue:
12(5), P. 954 - 954
Published: April 25, 2023
The
Brazilian
semiarid
region
(BSR)
has
faced
severe
drought
over
the
last
three
decades,
which
led
to
a
significant
decline
in
land
productivity,
posing
considerable
threat
food
security
and
local
economy
communities.
United
Nations
Convention
Combat
Desertification
(UNCCD)
proposed
use
of
Earth
observation-derived
vegetation
indices
for
monitoring
degradation
across
regions.
In
this
study,
we
aim
evaluate
comprehensive
UNCCD-recommended
productivity
dynamic
(LPD)
approaches
BSR
by
utilizing
standardized
precipitation–evapotranspiration
index
(SPEI)
at
12-month
time
scales
as
benchmark
obtained
from
ground-based
measurements.
Our
findings
indicate
that
LPD
methods
residual
trends
analysis
(RESTREND),
Trends.Earth
(TE),
Food
Agricultural
Organization’s
World
Overview
Conservation
Approaches
Technologies
(FAO-WOCAT)
are
best
suited
identifying
degraded
areas
compared
other
approaches.
However,
it
is
advisable
these
with
caution,
since
they
do
not
fully
capture
impact
on
may
result
underestimating
extent
areas.
RESTREND-based
LPD,
TE,
FAO-WOCAT
estimate
reached
213,248
km2,
248,075
246,783
km2
land,
respectively,
between
2001
2015.
These
be
valuable
decision-makers
involved
management
conservation
efforts
Sertão
Brazil.
