Integration of RUSLE and geospatial modeling for evaluation of annual average soil erosion and implications for sustainable land management over Melka-Sedi catchment, Ethiopia
Journal of Sedimentary Environments,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 18, 2025
Language: Английский
Analyzing Land Use/Land Cover Changes Using Google Earth Engine and Random Forest Algorithm and Their Implications to the Management of Land Degradation in the Upper Tekeze Basin, Ethiopia
The Scientific World JOURNAL,
Journal Year:
2024,
Volume and Issue:
2024(1)
Published: Jan. 1, 2024
Land
use
and
land
cover
change
(LULCC)
without
appropriate
management
practices
has
been
identified
as
a
major
factor
contributing
to
degradation,
with
significant
impacts
on
ecosystem
services
climate
hence
human
livelihoods.
Therefore,
up‐to‐date
accurate
LULCC
data
maps
at
different
spatial
scales
are
for
regular
monitoring
of
existing
ecosystems,
proper
planning
natural
resource
management,
promotion
sustainable
regional
development.
This
study
investigates
the
temporal
dynamics
(LULC)
changes
over
31
years
(1990–2021)
in
upper
Tekeze
River
basin,
Ethiopia,
utilizing
advanced
remote
sensing
techniques
such
Google
Earth
Engine
(GEE)
Random
Forest
(RF)
algorithm.
Landsat
surface
reflectance
images
from
Thematic
Mapper
(TM)
(1990,
2000,
2010)
8
Operational
imager
(OLI)
sensors
(2021)
were
used.
Besides,
auxiliary
utilized
improve
classification
LULC
classes.
was
classified
using
algorithm
(GEE).
The
OpenLand
R
package
used
map
transition
intensity
across
period.
Despite
complexity
topographic
climatic
features
area,
RF
achieved
high
accuracy
0.83
0.75
overall
Kappa
values,
respectively.
results
1990
2021
showed
that
forest,
bushland,
shrubland,
bareland
decreased
by
12.2,
24.8,
1.2,
15.4%,
Bareland
changed
farmland,
settlement,
dry
riverbed
stream
channels.
Expansion
channels
sandy
surfaces
observed
2021.
Bushland
shown
an
increment
17.2%
1900
2010
but
19.5%
Throughout
period,
water,
riverbeds,
urban
settlements
positive
net
gains
484,
8.7,
82,
26778.5%,
However,
bush,
shrub,
experienced
12.17,
15.37%
losses.
degradation
future
vulnerability
basin
which
would
serve
evidence
mitigate
avoiding
conversion
shrubland
one
hand,
scaling
up
farmland
afforestation
degraded
vulnerable
areas,
other
hand.
Language: Английский
Integrating google earth engine and random forest for land use and land cover change detection and analysis in the upper Tekeze Basin
Alelgn Ewunetu,
No information about this author
Gebeyehu Abebe
No information about this author
Earth Science Informatics,
Journal Year:
2025,
Volume and Issue:
18(2)
Published: Feb. 1, 2025
Language: Английский
Soil loss estimation using RUSLE model and geospatial technologies in Gulufa Watershed, Dabus Sub-basin, West Ethiopia
Abdeta Tolassa Fayisa,
No information about this author
Wondafrash Genet Degu,
No information about this author
Ajay Babu Gangidi
No information about this author
et al.
Sustainable Environment,
Journal Year:
2025,
Volume and Issue:
11(1)
Published: Feb. 10, 2025
Language: Английский
Assessing soil erosion hotspots and land degradation extent in Beshilo Watershed, Northeastern Ethiopia: integrating geospatial and field survey techniques, for sustainable land management
Melak Desta Workie,
No information about this author
Degfie Teku
No information about this author
Frontiers in Environmental Science,
Journal Year:
2025,
Volume and Issue:
13
Published: March 24, 2025
Introduction
Soil
erosion
and
land
degradation
pose
significant
threats
to
sustainable
resource
management
in
the
Beshilo
Watershed,
Northeastern
Ethiopia.
These
challenges
are
driven
by
steep
slopes,
unsustainable
agricultural
practices,
deteriorating
soil
health,
necessitating
a
comprehensive
assessment
inform
effective
mitigation
strategies.
Methods
This
study
integrates
geospatial
analysis
field
surveys
evaluate
severity
identify
hotspots.
The
Revised
Universal
Loss
Equation
(RUSLE)
model,
use/land
cover
(LULC)
analysis,
normalized
difference
vegetation
index
(NDVI)
mapping
employed
alongside
FAO
data,
including
organic
matter
(SOM),
texture,
permeability
assessments.
GPS-documented
inventories
of
active
landslides
gullies
further
enhance
analysis.
Results
findings
reveal
alarming
rates,
with
RUSLE
values
ranging
from
0
1,288
t/ha/year,
an
average
annual
loss
68.3
total
664,333
tonnes‐far
exceeding
Ethiopia’s
tolerable
limits
12‐18
t/ha/year.
Approximately
38.5%
watershed
is
categorized
as
high
or
severe
risk.
GIS
reports
standard
deviation
100.06
for
loss,
highlighting
spatial
variability.
LULC
shows
that
73.4%
area
under
cultivation,
while
forest
has
declined
7%.
NDVI
range
‐0.24
0.58,
indicating
degradation.
assessments
report
low
SOM
levels
(1‐3%),
weak
structure
ratings
(1‐4),
predominance
sandy
loam
texture
(78%),
all
contributing
heightened
vulnerability.
Discussion
Conclusion
results
highlight
urgent
need
targeted
Sustainable
Land
Management
(SLM)
interventions
mitigate
rehabilitate
degraded
lands.
Recommended
measures
include
terracing,
agroforestry,
vegetative
buffer
strips,
integrated
water
conservation
provide
essential
data
support
evidence-based
policymaking
implementation
practices
erosion-prone
regions.
Language: Английский
"A Quantitative analysis on the Adoption of Soil, Water, and Forest Conservation Technologies in the Upper Gelana Watershed, Northeast Ethiopian Highlands"
Tsedey Tesfahun,
No information about this author
Assefa Abegaz,
No information about this author
Esubalew Abate
No information about this author
et al.
Heliyon,
Journal Year:
2024,
Volume and Issue:
10(17), P. e36794 - e36794
Published: Aug. 23, 2024
Globally,
the
degradation
of
soil,
water,
and
forests
has
had
a
significant
impact
on
both
livelihoods
environment.
This
issue
is
particularly
severe
in
developing
countries,
including
Ethiopia.
Despite
extensive
efforts
to
implement
conservation
measures
for
highlands
Ethiopia,
there
been
lack
thorough
evaluation
documentation
regarding
adoption
these
practices
by
rural
households.
It
crucial
have
scientific
up-to-date
information
at
various
spatial
scales
order
effectively
monitor
existing
practices,
scale
up
successful
initiatives,
promote
sustainable
regional
development.
Therefore,
this
paper
focuses
analyzing
forest
activities
households
upper
Gelana
watershed,
South
Wollo
zone,
Amhara
Regional
State
The
field
data
collection
study
took
place
from
January
March
2022,
150
household
heads.
Data
analysis
was
carried
out
using
SPSS
software
version
23.
Descriptive
statistics,
Pearson
bivariate
correlation,
multinomial
logistic
regression
were
used.
survey
findings
revealed
that
69
%
respondents
implemented
different
stages.
correlation
results
indicated
positive
relationship
between
water
practices.
age,
gender,
access
credit,
extension
services,
significantly
influenced
households'
decision
behaviour
adopt
soil
Age,
service,
resource
predictors
practices;
whereas
educational
status,
service
underscores
significance
institutional
factors
driving
technology
research
area.
further
recommends
policies
prioritize
dissemination
effective
strategies,
improvement
resources,
credit
facilities
watershed
management.
exceptional
its
innovative
approach,
which
explores
convergence
vital
domains
within
distinct
setting
watershed.
Studying
technologies
informing
policy-making
designing
interventions
In
case,
Ministry
Agriculture,
development
agents
should
take
remedial
actions
those
not
yet
adopted.
Language: Английский