Drones,
Journal Year:
2024,
Volume and Issue:
8(1), P. 30 - 30
Published: Jan. 22, 2024
Over
the
past
decade,
Unmanned
Aerial
Vehicles
(UAVs)
have
emerged
as
essential
tools
for
landslide
studies,
particularly
in
on-site
investigations.
This
paper
reviews
UAV
applications
with
a
focus
on
static
geological
characteristics,
monitoring
temporal
and
spatial
dynamics,
responses
post-events.
We
discuss
functions
limitations
of
various
types
UAVs
sensors
(RGB
cameras,
multi-spectral
thermal
IR
SAR,
LiDAR),
outlining
their
roles
data
processing
methods
applications.
review
focuses
UAVs’
geology
surveys,
emphasizing
mapping,
modeling
characterization.
For
change
monitoring,
it
provides
an
overview
evolution
through
UAV-based
shedding
light
dynamic
processes.
Moreover,
this
underscores
crucial
role
emergent
response
scenarios,
detailing
strategies
automated
detection
using
machine
learning
algorithms.
The
discussion
challenges
opportunities
highlights
need
ongoing
technology
advancements,
addressing
regulatory
hurdles,
hover
time
limitations,
3D
reconstruction
accuracy
potential
integration
technologies
like
swarms.
Remote Sensing,
Journal Year:
2023,
Volume and Issue:
15(5), P. 1331 - 1331
Published: Feb. 27, 2023
In
the
21st
Century,
disasters
have
severe
negative
impacts
on
cities
worldwide.
Given
significant
casualties
and
property
damage
caused
by
disasters,
it
is
necessary
for
disaster
management
organizations
public
to
enhance
urban
management.
As
an
effective
method,
BIM
(Building
Information
Modeling)–GIS
(Geographic
System)
integration
can
significantly
improve
Despite
significance
of
BIM–GIS
integration,
there
rarely
adoption
in
management,
which
hinders
development
quality
efficiency
To
reduce
impact
this
study
developed
perform
a
systematic
review
utilization
Through
review,
capabilities
prevention
mitigation,
response,
post-disaster
recovery
are
reviewed
analyzed.
Moreover,
data
acquisition
approaches,
interoperability,
analysis
methods,
future
directions
integrated
process
also
discussed
study,
managers
effectively
familiarize
themselves
with
utilize
thereby
improving
survival
rate
victims
For
GIS
software
developers,
support
them
methods
trends
thus
optimize
GIS.
Drones,
Journal Year:
2024,
Volume and Issue:
8(6), P. 231 - 231
Published: May 30, 2024
Nowadays,
the
public
service
practice
applicability
of
drones
and
remote
sensing
sensors
is
being
explored
in
almost
all
industrial
military
areas.
In
present
research,
collaboration
with
different
universities,
we
investigate
airport
procedures,
assessing
various
potential
applications.
By
exploiting
data
from
sensors,
aim
to
develop
methodologies
that
can
assist
operations,
including
managing
risk
wildlife
threats
runway
safety,
infrastructure
maintenance,
foreign
object
debris
(FOD)
detection.
Drones
equipped
provide
valuable
insight
into
surface
diagnostics,
helping
assess
aprons,
taxiways,
runways.
addition,
enhance
security
effective
surveillance
threat
detection
capabilities,
as
well
support
existing
air
traffic
control
models
systems.
this
paper,
our
experience
applications
UAV
high-resolution
RGB,
thermal,
LiDAR
sensors.
Through
interdisciplinary
innovative
methodologies,
research
aims
revolutionize
protocols,
outlining
a
path
toward
safer,
more
efficient
ecosystem.
Journal of Cleaner Production,
Journal Year:
2024,
Volume and Issue:
468, P. 143114 - 143114
Published: July 9, 2024
The
rising
demand
for
critical
metals
presents
a
major
economic
opportunity
mineral-rich
countries.
For
sustainable
transition
to
low-carbon
future,
it
is
essential
minimise
impacts
of
mineral
resource
development
the
environment,
ecosystems,
and
societies
these
nations.
Although
there
has
been
considerable
progress
in
social
aspects
mining
sector,
environmental
metrics
are
not
showing
comparable
improvement.
Philippines
exemplifies
this
challenge
as
country
that
aims
conserve
its
exceptional
biodiversity
maximise
ecosystem
services
while
expanding
activities
growth,
geographical
setting
with
high
potential
vulnerability
natural
hazards
climate
change.
Similar
many
areas,
baselines
mostly
non-existent,
compounded
by
legacy
despite
an
established
policy
framework.
We
review
issues
associated
large-
small-scale
identify
underlying
research
challenges
opportunities
Philippines.
Potential
pathways
include
(i)
innovative
approaches
catchment
scale
characterisation
identification
contaminant
sources;
(ii)
quantifying
predicting
transport;
(iii)
deployment
flexible
monitoring
devices
larger-scale
water
quality
programmes;
(iv)
tailings
dam
management;
(v)
assessment
metal
recovery
ores
tailings.
By
integrating
geomorphological
tools
geochemical
data,
well
2D/3D
numerical
modelling
techniques,
becomes
possible
predict
understand
behaviour
fate
contaminants
across
different
spatial
temporal
scales.
cost-effective
protocols
can
help
overcome
logistical
wider
range
hydrological
conditions.
Advanced
applications
remote
sensing,
combined
machine
learning,
geophysical
systems
provide
new
detect
footprints
observe
change
dams
more
effectively.
mine
wastes
be
further
minimised
exploring
technologies
such
use
metal-accumulating
native
plant
species
environmentally
safe
solvents
reprocess
modern
Insights
from
will
enable
realisation
through
incorporation
findings
into
existing
future
governmental
small-
large-scale
practice.
This
lead
society,
particularly
nations
positioned
benefit
development.
Irrigation Science,
Journal Year:
2024,
Volume and Issue:
unknown
Published: March 18, 2024
Abstract
The
characterization
by
means
of
geophysical
techniques
agricultural
soils
subjected
to
continuous
irrigation
cycles
makes
it
possible
study
the
heterogeneity
a
soil
and
preferential
pathways
water
flows
without
disturbing
plants.
A
better
knowledge
enables
optimal
resource
management
in
terms
crop,
yield,
sustainability.
In
this
study,
time-lapse
monitoring
using
electrical
resistivity
tomographies
(ERT)
is
proposed
as
reliable
non-invasive
technique
quantify
movement
thus
variation
content
during
process.
ERT
surveys
have
been
conducted
melon-growing
southern
Tuscany
(Italy).
Five
survey
campaigns
carried
out
between
June
August
2022,
which
data
collected
taking
measurements
before
(
T
0
),
1
after
2
)
phase.
interpretation
results
provided
information
on
spatial
temporal
distribution
fluxes
root
zone
melons
phases.
investigation
made
identify
infiltration
water,
points
where
absorbed
roots,
follows
pathway
instead
distributing
itself
entirely
below
growth
zone.
Thus,
research
suggests
that
can
be
used
evaluate
efficiency
system
order
achieve
resource,
avoiding
flow
paths
lead
less
availability
for
plant.
Remote Sensing,
Journal Year:
2024,
Volume and Issue:
16(15), P. 2781 - 2781
Published: July 30, 2024
Landslides
are
a
widely
recognized
phenomenon,
causing
huge
economic
and
human
losses
worldwide.
The
detection
of
spatial
temporal
landslide
deformation,
together
with
the
acquisition
precursor
information,
is
crucial
for
hazard
prediction
risk
management.
Advanced
monitoring
systems
based
on
remote
sensing
techniques
(RSTs)
play
role
in
management
provide
important
support
early
warning
(EWSs)
at
local
regional
scales.
purpose
this
article
to
present
review
current
state
knowledge
development
RSTs
used
identifying
precursors,
as
well
detecting,
monitoring,
predicting
landslides.
Almost
200
articles
from
2010
2024
were
analyzed,
which
authors
utilized
detect
potential
precursors
hazards.
applications,
challenges,
trends
RSTs,
largely
dependent
type
landslide,
deformation
pattern,
hazards
posed
by
size
area
interest,
also
discussed.
Although
indicates
some
limitations
so
far,
integrating
different
technological
developments
offers
opportunity
create
reliable
EWSs
improve
existing
ones.
Open Geosciences,
Journal Year:
2024,
Volume and Issue:
16(1)
Published: Jan. 1, 2024
Abstract
Freeze–thaw
cycles
significantly
impact
resource
development
and
construction
projects
in
alpine
regions.
This
study
presents
a
bibliometric
analysis
based
on
the
Web
of
Science
database,
spanning
period
from
2000
to
2023.
evaluates
status
hotspots
research
trends
freeze–thaw
rock.
Our
findings
reveal
that
rock
is
typical
multiauthor,
multicounty,
multi-institution
cooperative
field
involved
many
fields.
China
had
highest
number
(420)
peer-review
publications.
According
publications,
28
top
30
institutions
are
China.
The
authors,
ranked
by
their
contributed
55.4%
total
cumulative
publications
has
presented
an
exponential
increase
over
past
23
years,
with
maximum
annual
growth
rate
36.9%.
keyword
suggests
emergence
modern
technological
techniques,
including
numerical
simulation,
microscopic
structure
analysis,
machine
learning,
recent
years
augment
traditional
methods.
article
also
identifies
three
potential
areas
for
future
research,
thereby
aiding
understanding
developments,
current
status,
research.
Additionally,
it
provides
theoretical
basis
engineering
slope
disaster
management
Scientific African,
Journal Year:
2023,
Volume and Issue:
22, P. e01901 - e01901
Published: Sept. 15, 2023
Landslide
susceptibility
assessment
is
crucial
for
land
use
planning,
infrastructure
development,
and
hazard
mitigation,
particularly
in
tectonically
active
regions
where
lithology
soil
characteristics
significantly
influence
slope
stability.
This
study
aims
to
evaluate
landslide
the
Agadir
Ida-Ou-Tanane
province,
a
area,
using
hierarchical
multicriteria
analysis
approach.
Eight
factors
influencing
occurrence
were
considered:
lithology,
slope,
LULC,
distance
main
faults,
hypsometry,
drainage
density,
road
aspect.
Pairwise
comparison
matrices
expert
opinion
employed
determine
relative
importance
of
these
factors.
The
consistency
ratio
(CR)
was
calculated
ensure
reliability
judgments.
resulting
map
reveals
spatial
distribution
ranging
from
very
low
high
zones.
Lithology,
mainly
clay,
limestone
formations,
emerged
as
most
influential
factor
due
tectonic
context
area.
model
validated
observed
locations
Area
Under
Curve
(AUC)
method,
yielding
reasonable
validation
accuracy.
findings
indicate
that
integrating
factors,
with
particular
emphasis
on
characteristics,
effectively
identifies
areas
prone
landslides,
making
valuable
tool
planning
risk
management
region.
contributes
understanding
provides
practical
foundation
future
research
decision-making.
Regularly
monitoring
updating
necessary
its
continued
relevance
utility
stakeholders.
Remote Sensing,
Journal Year:
2023,
Volume and Issue:
15(8), P. 2159 - 2159
Published: April 19, 2023
Performing
a
reliable
stability
analysis
of
landslide
slope
requires
good
understanding
the
internal
geometries
and
an
accurate
characterisation
geotechnical
parameters
identified
strata.
Geotechnical
models
are
commonly
based
on
geomorphological
data
combined
with
direct
intrusive
investigations.
However,
existence
numerous
empirical
correlations
between
seismic
(e.g.,
S-wave
velocity)
in
literature
has
made
it
possible
to
investigate
areas
that
difficult
reach
instrumentation.
These
often
overlooked
even
though
they
enable
reduction
investigation
costs
time.
By
means
geophysical
tests,
is
fact
estimate
N-SPT
value
derive
friction
angle
from
results
obtained
environmental
noise
measurements.
Despite
character
certain
level
uncertainty
derived
estimation
parameters,
these
particularly
useful
preliminary
stages
emergency,
when
straight
not
available
all
those
soils
where
other
situ
tests
reliable.
were
successfully
applied
Theilly
(Western
Alps,
Italy),
model
was
by
integrating
multi-parameter
survey
(H/V
ground-penetrating
radar)
stratigraphic
observations,
digital
terrain
field
data.
The
triggering
conditions
conducted
hydrological–geotechnical
modelling,
evaluating
behaviour
under
different
rainfall
scenarios
considering
(or
not)
stabilisation
interventions
present
slope.
filtration
analyses
for
events
showed
top-down
saturation
mechanism,
which
led
formation
saturated
face
maximum
thickness
5
m.
Stability
same
development
shallow
first
few
metres
soil.
modelling
compatible
actual
evolution
phenomenon
allow
us
understand
providing
support
future
interventions.
Scientific Reports,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: Feb. 8, 2025
In
the
last
decades,
availability
of
multi-source,
multi-scale,
and
multi-resolution
remote
sensing
data
consequent
progress
processing
techniques
brought
a
significant
positive
impact
for
landslide
detection.
As
result,
nowadays
also
public
institutions
dealing
with
geo-hazard
management
worldwide
regularly
use
satellite
products
in
investigations.
Due
to
complexity
phenomenon
which
might
involve
displacement
massive
rocks,
soil,
both
wet
dry
vegetation
from
hillslopes,
on
safety
population
road
infrastructure,
development
specific
procedures
rapid
detection
landslides
is
extremely
challenging.
This
particularly
important
first
phases
risk
evaluate
extension
area
involved
by
movement
proceed
an
initial
delimitation
so-called
alarm
zone,
where
preventive
evacuation
must
be
applied.
this
study,
wide-ranging
Tasseled
Cap
Transformation
(TCT)
proposed
as
not-sophisticated
method
able
detect
different
land-change
features
simultaneously
only
two
(pre-
post-event)
Sentinel-2
images.
The
RGB
color
composite
image
obtained
stacking
δTCTBrightness,
δTCTGreenness,
δTCTWetness,
intensity
red
(R),
green
(G)
blue
(B)
was
provide
information
landscape
changes
supported
physical
nature
TCT
indices,
associating
colors
characteristics
changes.
tested
over
Pomarico
site
Basilicata
region
(Southern
Italy),
define
footprint
occurred
2019
good
accuracy
(ACC
=
0.95).
Therefore,
procedure
effective
involving
land-surface
spectral
(the
majority),
without
need
additional
in-situ
information.
Furthermore,
free
database
its
frequent
revisit
times
guarantee
global
exportability.
