Soil erosion hazard evaluation—An integrated use of remote sensing, GIS and statistical approaches with biophysical parameters towards management strategies

Rahman, Md. Rejaur; Shi, Zhihua; Cai, Chang

doi:10.1016/j.ecolmodel.2009.04.004

Cited by 213 publications

(105 citation statements)

References 24 publications

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“…The geo-spatial technology is cost-effective and timeefficient in this regard. Fewer studies have been carried out using different methods of GIS techniques and remotely sensed data are effective in identifying and mapping land degradation risks and modeling of soil loss (Pandey et al 2007(Pandey et al , 2009Rahman et al 2009;Nagaraju et al 2011;Sinha and Joshi 2012;Nasre et al 2013;Baroudy and Moghanm 2014;Jiang et al 2015). The present study focused on the prognostic modeling capabilities of geospatial technology based soil erosion potential model to delineate the probable soil erosion potential areas in subtropical region.…”

Section: Introductionmentioning

confidence: 99%

Soil erosion risk mapping using RUSLE model on jhargram sub-division at West Bengal in India

Shit¹,

Nandi

Bhunia³

2015

Model. Earth Syst. Environ.

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An appraisal of spatial and quantitative information on soil erosion is a major challenge for human sustainability. The present study demonstrates the prognostic modeling capabilities of geo-spatial technology based on soil erosion potential model to assess the effects of implementing land use changes within sub-tropical region in India. The Revised Universal Soil Loss Equation (RUSLE) integrated with geo-spatial technology was used to produce predictive soil erosion map. Rainfall pattern, soil type, topography, crop system and management practices and geo-spatial data were used to predict the soil erosion model. Results shows 74.77 % of the study area is marked as low potential zone for soil erosion, whereas 5.58 % ([10 t h -1 year -1 ) is very high erosion risk zone. The present information may help recognizing areas that are vulnerable to soil loss and the proposed method will be used for generalized planning and assessment purposes for supervision and preserve the soil erosion.

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Section: Introductionmentioning

confidence: 99%

Soil erosion risk mapping using RUSLE model on jhargram sub-division at West Bengal in India

Shit¹,

Nandi

Bhunia³

2015

Model. Earth Syst. Environ.

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“…Soil erosion is regarded as a major environmental problem for sustainable development of human society because it seriously threatens natural resources, agriculture, and the environment [1]. It is also one of the most significant forms of land degradation, causing 80% of the world's land degradation [2].…”

Section: Introductionmentioning

confidence: 99%

Integrated Use of GCM, RS, and GIS for the Assessment of Hillslope and Gully Erosion in the Mushi River Sub-Catchment, Northeast China

et al. 2016

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Abstract:The black soil region of Northeast China has suffered from severe soil erosion by water. Hillslope and gully erosion are the main erosion types. The objective of this research was to integrate the assessment of hillslope and gully erosion and explore spatial coupling relations between them in the Mushi River sub-catchment using geographical conditions monitoring (GCM) including remote sensing (RS) and geographic information system (GIS) techniques. The revised universal soil loss equation (RUSLE) model and visual satellite image interpretation were used to evaluate hillslope and gully erosion, respectively. The results showed that (1) the study area as a whole had slight erosion due to rill and sheet erosion, but suffered more serious gully erosion, which mainly occurs in cultivated land; (2) GCM contributed to the overall improvement of soil erosion assessment, but the RUSLE model likely overestimates the erosion rate in dry land; (3) the hillslope and gully erosion were stronger on sunny slopes than on shady slopes, and mainly occurred at middle elevations. When the slope was greater than 15 degrees, the slope was not the main factor restricting the erosion, while at steeper slopes, the dominant forest land significantly reduced the soil loss; (4) trends of gully erosion intensity and density were not consistent with the change in soil erosion intensity. To our knowledge, this study was one of the first that attempted to integrate gully erosion and hillslope erosion on a watershed scale. The findings of this study promote a better understanding of the spatial coupling relationships between hillslope and gully erosion and similarly indicate that GCM, RS, and GIS can be used efficiently in the hilly black soil region of Northeast China to assess hillslope and gully erosion.

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“…No mapeamento de risco ambiental voltado ao planejamento, têm sido empregados métodos multicritério aditivos, com resultados satisfatórios (Dias et al, 2003(Dias et al, , 2006Valladares & Faria, 2004;Rahman et al, 2009;Yesilnacar et al, 2012).…”

Section: Introductionunclassified

Modelo multicritério aditivo na geração de mapas de suscetibilidade à erosão em área rural

Valladares

Gomes

Torresan³

et al. 2012

Pesq. agropec. bras.

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Resumo -O objetivo deste trabalho foi avaliar a geração de um mapa de suscetibilidade à erosão, em área rural, no Município de Guararapes, SP, por meio de modelo multicritério aditivo. Foram utilizados mapas digitais dos temas: relevo (declividade e comprimento das rampas); pedologia (obtida em campo); uso e cobertura das terras da região; e interpretação do modelo digital de elevação. Os mapas digitais foram tratados em ambiente de sistema de informação geográfica, por meio do método multicritério aditivo, e validados pelo modelo da equação universal de perda de solo (USLE). Foram geradas cinco classes de suscetibilidade à erosão: baixa, moderada, alta, muito alta e altíssima. O mapa de risco obtido por multicritério aditivo teve boa correspondência com o modelo USLE. O mapa de suscetibilidade à erosão pode ser aplicado ao planejamento agrícola e ambiental da área rural do Município de Guararapes.Termos para indexação: geoprocessamento, EUPS, risco ambiental. Multicriteria additive model in generating maps of susceptibility to erosion in rural areaAbstract -The objective of this work was to evaluate the construction of an erosion susceptibility map for a rural area of the municipality of Guararapes, SP, Brazil, using a multicriteria additive model. Digital maps on the themes relief (declivity and length of the slopes), pedology (obtained at the field), land use and land cover of the region, and interpretation of the digital elevation model were used. The digital maps were treated in a geographic information system environment using the additive multicriteria method and were validated by the universal soil loss equation (USLE) model. Five erosion susceptibility classes were generated: low, moderate, high, very high, and extremely high. The risk map obtained by additive multicriteria had good correspondence with the USLE model. The erosion susceptibility map can be used for the agricultural and environmental planning of the rural area of the municipality of Guararapes.

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Soil erosion hazard evaluation—An integrated use of remote sensing, GIS and statistical approaches with biophysical parameters towards management strategies

Cited by 213 publications

References 24 publications

Soil erosion risk mapping using RUSLE model on jhargram sub-division at West Bengal in India

Soil erosion risk mapping using RUSLE model on jhargram sub-division at West Bengal in India

Integrated Use of GCM, RS, and GIS for the Assessment of Hillslope and Gully Erosion in the Mushi River Sub-Catchment, Northeast China

Modelo multicritério aditivo na geração de mapas de suscetibilidade à erosão em área rural

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