GIS and remote sensing integration for sediment performance assessment based on a RUSLE and sediment delivery ratio model in northwest Algeria

Ouadja, A.; Benfetta, Hassen; Porto, Paolo; Mihoubi, Mustapha Kamel; Flanagan, D. C.; Abdellatif, Dehni; Talchabhadel, Rocky

doi:10.1007/s12517-022-09502-8

Cited by 10 publications

(1 citation statement)

References 64 publications

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“…The K factor value in this study is 0.30. This value does not fluctuate much due to the uniformity of the various soil types and properties [16,17].…”

Section: K Factormentioning

confidence: 95%

Gis and Remote Sensing Integration for Soil Erosion Assessment Based on a Rusle Model in Upnm Catchment

Suif

2024

GEOMATE

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Soil erosion is the main threat that causes land deterioration and is one of the ultimate problems of the twenty-first century. Our study aims to determine soil erosion at the Universiti Pertahanan Nasional Malaysia (UPNM) catchment using an integrated Geographic Information System (GIS) and remote sensing (RS) utilizing the Revised Universal Soil Loss Equation (RUSLE) model. The parameters for the model are soil erosivity (R), soil erodibility (K), slope length and steepness (LS), land cover (C), and practice of land management (P), which are prepared using the varied input datasets in the ArcGIS software. The final maps model was the nearest sampled, and the soil erosion rate was calculated using an algebra map in ArcGIS. The results show that the soil erosion at the catchment is spatially varied between 0 and 99.1 t ha -1 yr -1 . The rate of soil erosion was lower than 2.3 t ha -1 yr -1 , estimated to be about 43% of the UPNM area, i.e., the highest percent of soil erosion. Moreover, the highest soil erosion is 43.5 to 99.1 t ha -1 yr -1 . Overall, the findings described the spatial pattern of soil eroded within the catchment. Thus, the proposed integrated model is useful for explaining the erosion process within the river and land system of a small area.

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“…The K factor value in this study is 0.30. This value does not fluctuate much due to the uniformity of the various soil types and properties [16,17].…”

Section: K Factormentioning

confidence: 95%

Gis and Remote Sensing Integration for Soil Erosion Assessment Based on a Rusle Model in Upnm Catchment

Suif

2024

GEOMATE

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Estimation of soil erosion and sediment yield in Wadi El Hachem watershed (Algeria) using the RUSLE-SDR approach

Saoud

Meddi

2023

J. Mt. Sci.

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Assessing soil erosion and sedimentation in the Chehelgazi mountainous watershed, Iran, using GIS and RS

Davari,

Aghdam,

Khaleghpanah

et al. 2024

Arab J Geosci

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GIS and remote sensing integration for sediment performance assessment based on a RUSLE and sediment delivery ratio model in northwest Algeria

Cited by 10 publications

References 64 publications

Gis and Remote Sensing Integration for Soil Erosion Assessment Based on a Rusle Model in Upnm Catchment

Gis and Remote Sensing Integration for Soil Erosion Assessment Based on a Rusle Model in Upnm Catchment

Estimation of soil erosion and sediment yield in Wadi El Hachem watershed (Algeria) using the RUSLE-SDR approach

Assessing soil erosion and sedimentation in the Chehelgazi mountainous watershed, Iran, using GIS and RS

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