Land use impact on soil erosion at different scales in the Brazilian
            semi-arid

Santos, Júlio César Neves dos; Andrade, Eunice Maia de; Guerreiro, Maria João; Palácio, Helba Araújo de Queiroz

doi:10.5935/1806-6690.20170029

Cited by 24 publications

(23 citation statements)

References 21 publications

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“…The change in the land use will respond differently to the soil erosion due to monsoon rainfall (Santos et al, 2017;Zare et al, 2017). Radish, potato, and cabbage crop fields are more vulnerable to soil runoff during the heavy rainfall period than the rice paddy and gin- ) estimated for selected major crops with growing characteristics in the Haean basin.…”

Section: Precipitation Trend and Impact On The Water Turbiditymentioning

confidence: 99%

Land use and land cover changes in the Haean Basin of Korea: Impacts on soil erosion

Lee¹,

Raza²

2019

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This study examined the relationship between the land-use and land-cover changes in the mountainous Haean Basin of the Republic of Korea, a water source area, and the muddy water in the downgradient. The water flowing out from the basin is highly turbid having value of 650.1 Nephelometric Turbidity Unit (NTU), while that from the upper Inbuk Stream lacking major crop fields is very clean (less than 1 NTU), indicating agricultural activities as the origin of the turbid water. Among the six major crops in the cultivated area, rice prevails the maximum area (31.5-51.5%, mean = 38.7%), followed by radish (0.2-32.4%, mean = 20.1%) and potato (9.4-32.2%, mean = 19.4%). The mean annual soil erosion (t ha-1 yr-1) from major crops; radish (55.6), potato (53.0), cabbage (47.9), soybean (40.3), ginseng (23.6), orchard (18.7), and rice (1.3) contributed to water turbidity, differently. Avoiding the cultivation of radish crop can help to reduce overall rate of soil erosion from the basin. Proper maintenance of mitigation measures would result in minimal soil erosion and reduced water turbidity.

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Section: Precipitation Trend and Impact On The Water Turbiditymentioning

confidence: 99%

Land use and land cover changes in the Haean Basin of Korea: Impacts on soil erosion

Lee¹,

Raza²

2019

Episodes

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“…These water forms include open water or wetlands. Land use displays how people use landscape whether for conservation, development, or mixed uses [6,7]. Land cover can be identified by analysing aerial and satellite imagery.…”

Section: Empirical Literature Reviewmentioning

confidence: 99%

Analysis of Spatiotemporal Land Use and Land Cover Changes using Remote Sensing and GIS: A Review

Gidado¹,

Kamarudin²,

Firdausaq³

et al. 2018

IJET

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The land-use and land-cover (LULC) pattern of an area is an outcome of natural and socio-economic factors and their use spatially by man; this LULC varies from the forest, water body, agricultural land and so on. Remote Sensing (RS) and Geographical Information System (GIS) studies have predominantly focused on providing the technical knowledge of, where, and the type of LULC change that has occurred and its impacts on man and the environment. Knowledge about LULC changes is essential for understanding the relationships and interfaces between humans and the natural environment. The purpose of this article is to review the previous studies of the spatiotemporal LULC changes. However, thirty (30) articles were reviewed from 2011 to 2017. However, these articles studied the LULC, classification, changes and change detection analysis, using different methods and software of RS and G.I.S. The finding shows that these articles have overall accuracy assessment ranges from 75% to 95% validations. Also, supervised classification in Maximum Likelihood Algorithm method was mostly employed for the LULC classification. Moreover, these reviewed articles confirmed that LULC changes are imminent as a result of both natural and human factors which lead to increase and decrease of one LULC cover to another. Therefore proper monitoring of LULC changes when applied help the relevant government bodies, agencies and environmental managers utilise the environment to the fullest.

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“…The semivariogram was chosen as per [29], who proposed that when evaluating the cross-validation data of the models, the mean error of the semivariogram should be close to zero (0), the root mean square error, should be close to one (1), and the standard error of the mean and root mean square error should have similar values that are as small as possible.…”

Section: Methodsmentioning

confidence: 99%

“…Erosion is the natural process of wear and entrainment of soil particles, and is occasioned by various factors, with water erosion being the principal cause [1].…”

Section: Introductionmentioning

confidence: 99%

Determining the Soil Erodibility for an Experimental Basin in the Semi-Arid Region Using Geoprocessing

Pereira¹,

Lopes²,

Gomes³

et al. 2017

AJPS

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Land use impact on soil erosion at different scales in the Brazilian semi-arid

Cited by 24 publications

References 21 publications

Land use and land cover changes in the Haean Basin of Korea: Impacts on soil erosion

Land use and land cover changes in the Haean Basin of Korea: Impacts on soil erosion

Analysis of Spatiotemporal Land Use and Land Cover Changes using Remote Sensing and GIS: A Review

Determining the Soil Erodibility for an Experimental Basin in the Semi-Arid Region Using Geoprocessing

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