Integration of RUSLE model with remotely sensed data over Google Earth Engine to evaluate soil erosion in Central Indus Basin
Earth Surface Processes and Landforms,
Journal Year:
2025,
Volume and Issue:
50(3)
Published: March 6, 2025
Abstract
Soil
erosion
presents
a
substantial
environmental
obstacle
for
farmers,
especially
in
the
plains
of
Indus
Basin,
which
are
characterised
by
rainfall
scarcity.
This
study
utilised
remotely
sensed
data
on
Google
Earth
Engine
(GEE)
to
estimate
yearly
soil
implementing
Revised
Universal
Loss
Equation
(RUSLE)
model
Central
Basin.
The
study's
primary
objective
was
determine
order
importance
and
execute
conservation
strategies.
input
datasets
were
processed
GEE
produce
essential
factors,
including
erosivity
(
R
),
erodibility
K
slope
length
steepness
LS
land
cover
C
)
management
techniques
P
required
model.
area
varied
from
1
26.2
t
ha
−1
year
.
combined
regions
with
low,
moderate,
high,
extremely
high
rates
amounted
445
397
ha.
More
precisely,
8670
(0.6%),
263
062
(18.2%)
468
310
(32.4%)
allocated
as
first,
second
third‐class
priority
areas,
respectively.
These
areas
geographically
dispersed
across
northwest
eastern
basin,
sandy
dunes
infrequent
agricultural
cultivation.
highlighted
usability
reliable
estimation
large
scale.
methodology
amplifies
effectiveness
planning
endeavours.
Language: Английский
Integrated Image Segmentation Techniques for High-Resolution Coastal Habitat Mapping: Advancing Remote Sensing for Coastal Ecosystem Assessment
C Senthilkumar,
No information about this author
Hadeel Alsolai,
No information about this author
Randa Allafi
No information about this author
et al.
Journal of South American Earth Sciences,
Journal Year:
2025,
Volume and Issue:
unknown, P. 105526 - 105526
Published: April 1, 2025
Language: Английский
Spatial distribution, potential health risks, and sources of groundwater contamination in the semi-arid region
Owais Rabbani,
No information about this author
Wajid Ali,
No information about this author
Ghazanfar A. Khattak
No information about this author
et al.
Physics and Chemistry of the Earth Parts A/B/C,
Journal Year:
2025,
Volume and Issue:
unknown, P. 103952 - 103952
Published: April 1, 2025
Language: Английский
Spatio-Temporal Analysis of Tidal Wetlands Using Multi-Spectral Imaging, Machine Learning, and Neural Networks: A Comprehensive Approach to Ecosystem Monitoring and Change Detection
Sudhakar Thiruvengadasamy,
No information about this author
Setu Garg,
No information about this author
A. Ambikapathy
No information about this author
et al.
Journal of South American Earth Sciences,
Journal Year:
2025,
Volume and Issue:
unknown, P. 105560 - 105560
Published: April 1, 2025
Language: Английский
Monitoring of Fire-Affected Buildings and Air-Quality Assessment: A Remote-Sensing Study Using Ground-Based interferometric Radar and Google-Earth-Engine
Rangeland Ecology & Management,
Journal Year:
2025,
Volume and Issue:
101, P. 28 - 42
Published: May 2, 2025
Language: Английский
Recycling and utilization of electronic waste plastic into adsorbent with secondary adsorption
Longfei Peng,
No information about this author
Jian Han,
No information about this author
Huixin Zhang
No information about this author
et al.
Journal of Cleaner Production,
Journal Year:
2025,
Volume and Issue:
509, P. 145623 - 145623
Published: May 4, 2025
Language: Английский
Remote sensing and GIS techniques for investigating air pollution’s impact on major crop yields
Environment Development and Sustainability,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 24, 2025
Language: Английский
Innovative materials that behave like robots to combat plastic pollution
Materials Horizons,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 1, 2025
The
growing
plastic
pollution
crisis
demands
novel
approaches,
with
innovative
materials
that
mimic
robotic
behaviors
emerging
as
a
promising
solution.
Language: Английский