IEEE Access,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 1
Published: Jan. 1, 2024
In
coastal
regions,
the
increasing
human
activities
have
made
it
increasingly
important
to
gain
an
understanding
of
water
depths
in
these
areas.
Although
conducting
field
measurements
for
nearshore
on
a
global
scale
is
quite
challenging,
fusion
active
and
passive
remote
sensing
data,
utilizing
laser
altimetry
data
multispectral
imagery,
allows
us
obtain
valuable
bathymetric
information
without
need
on-site
measurements.
this
study,
we
developed
interactive
soft-ware
named
PhotonBathymetry
(PBathy)
with
aim
supporting
bathymetry
retrieval
efforts.
The
construction
platform
encompasses
four
key
levels:
storage,
software
workflows,
functional
plugins,
user
services.
These
levels
are
designed
ensure
efficiency
loading,
browsing,
processing.
To
cater
diverse
needs
developers,
PBathy
built
using
C++
provides
standardized
interfaces
different
programming
languages.
Furthermore,
has
undergone
meticulous
integration
optimization
its
interface
feature
pages
offer
exceptional
experience.
validate
PBathy’s
capability
retrieval,
conducted
case
study
Culebra
Island
Puerto
Rico.
results
demonstrate
that
not
only
successfully
performs
but
also
offers
additional
features
such
as
visual
querying
imagery.
introduction
addresses
limitations
current
photon
processing
software,
providing
viable
solution
solid
foundation
Coasts,
Journal Year:
2024,
Volume and Issue:
4(1), P. 127 - 149
Published: Feb. 26, 2024
Mapping
coastal
regions
is
important
for
environmental
assessment
and
monitoring
spatio-temporal
changes.
Although
traditional
cartographic
methods
using
a
geographic
information
system
(GIS)
are
applicable
in
image
classification,
machine
learning
(ML)
present
more
advantageous
solutions
pattern-finding
tasks
such
as
the
automated
detection
of
landscape
patches
heterogeneous
landscapes.
This
study
aimed
to
discriminate
patterns
along
eastern
coasts
Mozambique
ML
modules
Geographic
Resources
Analysis
Support
System
(GRASS)
GIS.
The
random
forest
(RF)
algorithm
module
‘r.learn.train’
was
used
map
landscapes
shoreline
Bight
Sofala,
remote
sensing
(RS)
data
at
multiple
temporal
scales.
dataset
included
Landsat
8-9
OLI/TIRS
imagery
collected
dry
period
during
2015,
2018,
2023,
which
enabled
evaluation
dynamics.
supervised
classification
RS
rasters
supported
by
Scikit-Learn
package
Python
embedded
GRASS
Sofala
characterized
diverse
marine
ecosystems
dominated
swamp
wetlands
mangrove
forests
located
mixed
saline–fresh
waters
coast
Mozambique.
paper
demonstrates
advantages
areas.
integration
Earth
Observation
data,
processed
decision
tree
classifier
land
cover
characteristics
recent
changes
ecosystem
Mozambique,
East
Africa.
Remote Sensing,
Journal Year:
2025,
Volume and Issue:
17(3), P. 400 - 400
Published: Jan. 24, 2025
Grassland
ecosystems
provide
a
range
of
services
in
semi-arid
and
arid
regions.
However,
they
have
significantly
declined
due
to
overgrazing
desertification.
In
the
current
study,
we
employed
Landsat
time
series
data
(TM,
OLI,
OLI-2)
spanning
from
1990
2024,
combined
with
vegetation
indices
such
as
NDVI
SAVI,
along
NDWI
digital
elevation
models
(DEMs),
analyze
land
cover
dynamics
Ugii
Lake
watershed
area,
Mongolia.
By
integrating
multisource
remote
sensing
into
advanced
XGBoost
(extreme
gradient
boosting)
machine
learning
algorithm,
achieved
high
classification
accuracy,
overall
accuracies
exceeding
94%
Kappa
coefficients
greater
than
0.92.
The
results
revealed
decline
montane
grasslands
(−6.2%)
an
increase
other
grassland
types,
suggesting
ecosystem
redistribution
influenced
by
climatic
anthropogenic
factors.
Cropland
exhibited
resilience,
recovering
significant
1990s
moderate
growth
2024.
Our
findings
highlight
stability
barren
underscore
pressures
ecological
degradation
human
activities.
This
study
provides
up-to-date
statistical
support
decision-making
conservation
sustainable
management
Mongolia
under
changing
conditions.
Systems Research and Behavioral Science,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 27, 2025
ABSTRACT
This
study
examines
how
recursive
feedback,
and
shifts
toward
regenerative
semantics
co‐evolve
with
systemic
autopoiesis,
transitioning
businesses
to
models.
Methods:
Grounded
in
Luhmann's
Social
Systems
Theory,
the
research
develops
applies
a
conceptual
transition
model
based
on
understanding
of
evolution.
Four
illustrative
cases
demonstrate
practices
various
positions
emerging
ecoservice
market.
Results:
The
findings
reveal
that
recalibrated
market
mechanisms,
such
as
payments
for
ecosystem
services,
digitally
supported
transparency,
new
supply
chains
are
critical
adoption
Meta‐reflection,
reflection,
reflexivity
embed
principles
into
organizational
polycentric
networks.
Conclusions:
While
early
progress
is
evident,
achieving
phase
requires
broader
regulatory
support,
strengthened
shared
semantics,
accelerated
adoption.
Regenerative
enable
society,
including
businesses,
move
beyond
harm
mitigation,
extensionally
engage
regenerating
nature
enhancing
human
well‐being,
offering
hopeful
but
non‐deterministic
path
future.
Forum Geografi,
Journal Year:
2023,
Volume and Issue:
37(2)
Published: Dec. 29, 2023
The
land-conversion
of
rice
fields
can
reduce
production
and
negatively
impact
food
security.
Consequently,
monitoring
is
essential
to
prevent
the
loss
productive
agricultural
land.
This
study
uses
a
combination
Sentinel-2
MSI,
Sentinel-1
SAR,
along
with
SRTM
(elevation
slope
data)
monitor
land-conversion.
NDVI,
NDBI
NDWI
indices
are
transformed
from
annual
median
composite
MSI
images
used
identify
different
another
object.
A
monthly
SAR
data
cropping
patterns
in
inundation
phase.
classification
performed
by
using
Random
Forest
machine
learning
algorithm
Google
Earth
Engine
(GEE)
platform.
run
1000
trees,
70:30
ratio
training
testing
sample
features
extracted
visual
interpretation
high
resolution
imagery.
In
this
study,
effective
computing
amount
multi-temporal
multi-sensory
map
rice-field
land
conversion
an
accuracy
rate
96.16%
(2021)
95.95%
(2017)
for
mapping
paddy
fields.
From
multitemporal
field
maps
2017—2021,
826.66
hectares
rice-fields
non-rice
was
identified.
Based
on
spatial
distribution,
higher
at
area
near
roads,
built
Yogyakarta
International
Airport.
Therefore,
it
important
assess
ensure
that
National
Strategic
Projects
managed
due
regard
environmental
impacts
Frontiers in Marine Science,
Journal Year:
2024,
Volume and Issue:
11
Published: Aug. 30, 2024
Blue
carbon
refers
to
the
fixed
in
marine
ecosystems
such
as
mangroves,
salt
marshes,
and
seagrass
beds.
Considered
a
treasure
house
for
capturing
storing
dioxide,
it
can
alleviate
environmental
issues
linked
climate
change
positively
influence
environments
where
people
live.
Thus,
clarify
hotspots
development
trends
of
blue
research,
bibliometric
analysis
incorporating
ScientoPy
VOSviewer
software
were
used
quantitatively
analyze
4,604
publications
from
Web
Science
Scopus
databases
between
1993
2023.
The
results
indicate
rapidly
growing
number
published
studies
on
carbon,
with
research
being
multifaceted
gradually
becoming
an
interdisciplinary
international
topic.
This
study
which
is
based
keyword
clustering
analysis,
comprises
three
stages.
strength
cooperative
connections
scholars
various
countries
who
have
work
carbon.
found
that
cooperation
networks
developed
are
strong
those
developing
relatively
weak.
Quantitative
trend
reveals
focus
restoration
conservation
ecosystems,
remote
sensing
predominant
technology
field
recent
years.
In
increasing
sequestration
capacity,
mitigation,
macroalgae
remain
potential
development.
Open Journal of Ecology,
Journal Year:
2025,
Volume and Issue:
15(01), P. 1 - 10
Published: Jan. 1, 2025
Remote
sensing
and
web-based
platforms
have
emerged
as
vital
tools
in
the
effective
monitoring
of
mangrove
ecosystems,
which
are
crucial
for
coastal
protection,
biodiversity,
carbon
sequestration.
Utilizing
satellite
imagery
aerial
data,
remote
allows
researchers
to
assess
health
extent
forests
over
large
areas
time
periods,
providing
insights
into
changes
due
environmental
stressors
like
climate
change,
urbanization,
deforestation.
Coupled
with
platforms,
this
technology
facilitates
real-time
data
sharing
collaborative
research
efforts
among
scientists,
policymakers,
conservationists.
Thus,
there
is
a
need
grow
interest
experts
working
kind
ecosystem.
The
aim
paper
provide
comprehensive
literature
review
on
role
platform
utilized
thematic
approach
extract
specific
information
use
discussion
helped
realize
efficiency
digital
environment.
Web-based
represent
powerful
tool
monitoring,
particularly
context
forest
ecosystems.
They
facilitate
accessibility
promote
collaboration
stakeholders,
support
evidence-based
policymaking,
engage
communities
conservation
efforts.
As
confront
urgent
challenges
posed
by
change
degradation,
leveraging
through
essential
fostering
sustainable
future
world.
