Results 91 to 100 of about 14,435,426 (169)

SPATIAL IDENTIFICATION AND CLASSIFICATION OF SOIL EROSION PRONE ZONES USING REMOTE SENSING & GIS INTEGRATED ‘RUSLE’ MODEL AND ‘SATEEC GIS SYSTEM’

open access: yes, 2016
Soil erosion by water is pronounced critical problem in Himalayan regions due to anthropogenic pressure on its mountainous landscape. Its assessment and mapping of erosion prone areas are very essential for soil conservation and watershed management. The
Narasayya Kamuju*
core   +1 more source

A comparative study of soil erosion modelling by MMF, USLE and RUSLE

open access: yes, 2018
The quantitative assessment of spatial soil erosion is valuable information to control the erosion. The study area in a part of Narmada river in central India is selected.
Sananda Kundu, Arun Mondal, Deepak Khare
core   +1 more source

Exploring soil erosion and reservoir sedimentation through the RUSLE model and bathymetric survey

open access: yesInternational Soil and Water Conservation Research
The aim of the paper was to compare the soil erosion in a river catchment with the sediment volume accumulated at the river mouth. Firstly, the sediment yield was estimated in GIS based on the soil loss according to the RUSLE model, and then further ...
Constantin Nistor   +3 more
doaj   +1 more source

Soil Erosion Prediction Using RUSLE with GIS

open access: yes, 2006
This research integrated the Rivised Universal Soil Loss Equation (RUSLE) model with RS and GIS techniques to quantify soil erosion risk, took upper Chaobai River basin, China as an example to map soil erosion within ArcGIS environment by using the RUSLE
Lin Q. H., Wang X. Y., Ieee
core  

Optimization of soil and water conservation practice factor and its influence on simulation accuracy of RUSLE model

open access: yes中国水土保持科学
ObjectiveSoil erosion poses a global threat to ecological and agricultural sustainability. In 2024, soil erosion affected 15.70% of Hubei province's total land area. While the RUSLE model is widely used as an empirical statistical model, the value of its
Pei TIAN, Jie ZHOU, Yi HE
doaj   +1 more source

Temporal and Spatial Dynamics of Soil Erosion and Its Influencing Factors in Yunlong County, Northwest Yunnan Province from 2000 to 2020

open access: yesShuitu Baochi Xuebao
[Objective] The investigation of temporal and spatial variations in soil erosion and its influencing factors in Yunlong County is of great significance for the advancement of featured agriculture, management and restoration of ecological environment, and
ZHU Wanjing   +6 more
doaj   +1 more source

Scaling effect for estimating soil loss in the RUSLE model using remotely sensed geospatial data in Korea

open access: yes, 2006
International audienceAccurate estimation of soil loss/deposition forced by rainfall events plays a major role in water resources management and it directly affects the quality of agricultural land and water storage capacity in reservoirs. In this paper,
Lee, K.-H., Lee, G.-S.
core  

Distribution Characteristics and Coupling Relationship Between Soil Erosion and Hydrologic and Sediment Connectivity in Changchong River Basin

open access: yesShuitu Baochi Xuebao
[Objective] To clarify the distribution characteristics and coupling relationship between soil erosion and hydrologic and sediment connectivity in Changchong River Basin, and to provide basis for soil erosion control and soil erosion prevention in this ...
LI Jianing   +4 more
doaj   +1 more source

Applying RUSLE 2.0 to burned forest lands: An appraisal [PDF]

open access: yes, 2004
Forestlands disturbed by wildfire commonly constitute major and long-lasting sources of sediment that degrade water quality and cause siltation. Postfire restoration of the resistance to erosion of the forest soil is largely controlled by the rate of ...
Osterkamp, W. R.   +1 more
core  

Development of Operational RUSLE Soil Erosion Model in the JRC IMPACT Toolbox: Assessment and Consolidation in Kenya [PDF]

open access: yes
The report presents the development of an operational Revised Universal Soil Loss Equation (RUSLE) model into the JRC IMPACT Toolbox to support soil erosion modelling activities in Africa.
DESCLÉE Baudouin   +2 more
core   +1 more source

Home - About - Disclaimer - Privacy