Artykuły w czasopismach: „Erosion mapping”

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Tarley Ferreira Nascimento, Diego, Patrícia De Araújo Romão i Maurício Martines Sales. "Erosividade e erodibilidade ao longo de dutovia cortando os estados de Minas Gerais e Goiás - Brasil". Ateliê Geográfico 12, nr 1 (3.08.2018): 97–117. http://dx.doi.org/10.5216/ag.v12i1.46152.

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Resumo Apresenta-se o mapeamento da erosividade e da erodibilidade ao longo da dutovia OSBRA, que corta vários municípios de Minas Gerais e Goiás. Para o mapeamento da erosividade, foram calculados os índices de erosividade de cada estação meteorológicas nas proximidades da área estudada. Para o mapeamento da erodibilidade, foram agrupadas categorias de solos com comportamentos semelhantes quanto à resistência a processos erosivos e posteriormente foi classificada sua suscetibilidade erosiva. Com base nos mapeamentos da erosividade e da erodibilidade foi possível identificar áreas com maior suscetibilidade a processos erosivos. Levantamento de 85 pontos de erosão, cadastrados em campo, foram confrontados com os mapas de erodibilidade e erosividade, resultando em uma grande coerência entre previsão e ocorrências em campo. O mapeamento apresentado poderá ser usado como critério de decisão sobre qual área deve ter maior monitoramento do que outras, visando a segurança da faixa do duto e de fazendas vizinhas. Palavras-Chave: Erosividade; Erodibilidade; Processos Erosivos Abstract This paper presents the erosivity and erodibility mapping along the pipeline OSBRA, which cut the states of Minas Gerais and Goiás. For mapping the erosivity, the erosivity indices were calculated to each weather station near the studied area. To map the erodibility, soils were grouped in classes considering similar resistance to erosion processes, and their erosive susceptibility were subsequently classified. Based on the erosivity and erodibility mappings, areas with greater susceptibility to erosion processes were identified. A collection of 85 points of erosions, registered on the field, were compared with the maps of erodibility and erosivity and resulted in a good agreement between predictions and events in the field. The presented mapping can be used as a decision criterion on which area should have a more intensive monitoring than others, seeking the safety of the pipeline and neighboring farms. Keywords: Erosivity; Erodibility; Erosion processes Resumen Se presenta el mapeo de la erosividad y de la erodibilidad a lo largo de la tubería OSBRA, que corta varios municipios de Minas Gerais y de Goiás. Para mapear la erosividad se calcularon los índices de erosividad de cada estación meteorológica, en las proximidades del área observada. Para mapear la erodibilidad se agruparon categorías de suelos similares, en cuanto a su resistencia a los procesos erosivos. Posteriormente, se clasificó su susceptibilidad erosiva. Considerando los mapeos de erosividad y erodibilidad, se identificaron áreas más susceptibles que otras a los procesos erosivos. Observaciones levantadas a partir de 85 puntos de erosión registrados en campo, confrontadas con los mapas de erodibilidad y erosividad, mostraron coherencia entre la previsión y los datos de campo. El mapeo presentado puede utilizarse para definir cuáles son las áreas que requieren más control y vigilancia, teniendo en cuenta la seguridad de la zona a lo largo de las tuberías, así como la de las haciendas vecinas. Palabras Clave: Erosividad; Erodibilidad; Mecanismo de erosión

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Weikmann, Amanda M., Clayton Hodges i Randel Dymond. "Urban Erosion Potential Risk Mapping with GIS". Environment and Natural Resources Research 10, nr 1 (15.01.2020): 28. http://dx.doi.org/10.5539/enrr.v10n1p28.

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With increased regulatory focus on eroded sediment and its bound pollutants, methods are needed to predict areas with high erosive potential (EP) in urbanized areas. Using EP to prioritize urban areas for maintenance, implementation of Stormwater Control Measures (SCMs), stream restoration or monitoring is crucial. This study utilizes commonly available geospatial layers in conjunction with a computational procedure for prioritizing the contribution of site specific- and transport-erosion to compute relative EP risk throughout a target urban watershed.  Factors that contribute to erosion were evaluated: local cell slope, soil erodibility, land cover, runoff volume, distance and slope to nearest stormwater conveyance point along a surface flow travel path. A case study of the developed methodology was performed on a 1.6 square kilometer urban watershed in Blacksburg, VA, to generate EP risk maps. Results of the study indicate areas of erosive potential within the target watershed and provide a methodology for creating erosion potential risk maps for use by MS4 planners, engineers and other individuals that manage erosion control programs.

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Oliveira, José Guilherme de, Alexei Nowatzki i Leonardo José Cordeiro Santos. "UTILIZAÇÃO DE ATRIBUTOS TOPOGRÁFICOS NO MAPEAMENTO DE SUSCETIBILIDADE EROSIVA NA ÁREA RURAL DO MUNICÍPIO DE PARANAVAÍ – PR". Revista Cerrados 15, nr 02 (16.03.2020): 201–19. http://dx.doi.org/10.22238/rc24482692v15n22017p201a219.

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A região noroeste do estado do Paraná ao longo dos últimos 50 anos vem sofrendo diversos impactos decorrentes de processos erosivos lineares, ravinas e voçorocas principalmente. A ocorrência desses processos está associada a dois fatores: o histórico de ocupação da região, bem como as características pedológicas locais, principalmente a textura dos solos e sua distribuição nas vertentes. O método adotado para o mapeamento de suscetibilidade é uma adaptação do proposto por Crepani et al. (2001). Esse autor define que a suscetibilidade de uma área é definida pela soma das vulnerabilidades dos componentes do meio físico. Para a realização do trabalho foram selecionados os atributos topográficos declividade e perfil de curvatura; na pedologia, as tipologias de solo. Os resultados foram discretizados em 5 classes: Muito baixa, baixa, média, alta e muito alta suscetibilidade. As áreas de suscetibilidade a erosão Alta e Muito alta, representam 24% do município, sendo que nessas porções se concentram 26% das erosões, o tipo de solo em conjunto com as características topográficas fazem essa área mais propicia naturalmente a ocorrência dos processos erosivos. A classe de moderada suscetibilidade a erosão representam cerca de 40% do município e 54% das feições erosivas se concentra nessa unidade. Palavras-chave: Erosão; Modelo Digital de Terreno; Álgebra de Mapas. USE OF TOPOGRAPHIC ATTRIBUTES IN THE EROSIVE SUSCEPTIBILITY MAPPING IN THE RURAL AREA OF THE MUNICIPALITY OF PARANAVAÍ – PR Abstract The northwest region of the state of Paraná over the last 50 years has suffered several impacts and consequences of linear erosives, ravines and gullies mainly. The occurrence of these processes is mainly associated with two factors: the occupation history of the region, as well as local soil characteristics, mainly the soil texture and a distribution of soils along the slopes. The methodology adopted for the mapping of susceptibility to erosion follows a line of thought developed by Crepani et al. (2001). This proposal defines that the vulnerability of an area is defined by the sum of the vulnerabilities of the components of the physical environment. For the accomplishment of the methodology were selected, to represent the geomorphology, the topographic attributes: slope, curvature plane and profile; for pedology, soil typologies were selected. The results were discretized in 5 classes, from environments less susceptible to the most susceptible. The areas of susceptibility to erosion High and Very high, summed represent 24% of the municipality, being that in these portions it concentrates 26% of the area of the erosions, once in these areas the type of soil together with the topographic characteristics make it more propitious to the occurrence of linear erosive processes.The moderate susceptibility to erosion class represent about 40% of the municipality and 54% of the area of erosive features is concentrated in this unit. Keywords: Erosions; Digital Terrain Model; Map Algebra. UTILIZACIÓN DE ATRIBUTOS TOPOGRÁFICOS EN EL MAPEO DE SUSCEPTIBILIDAD EROSIVA EN EL ÁREA RURAL DEL MUNICIPIO DE PARANAVAÍ – PR Resumen La región noroeste del estado de Paraná en los últimos 50 años viene sufriendo impactos producto de procesos erosivos lineales, regueros y cárcavas principalmente. La ocurrencia de estos procesos está asociada a dos factores: el modo de ocupación de la región y las características pedológicas locales, principalmente la textura de los suelos y su distribución en las vertientes. El método adoptado para el mapeo de susceptibilidad es una adaptación del propuesto por Crepani et al. (2001). Este autor especifica que la susceptibilidad de un área está definida por la suma de las vulnerabilidades de los componentes del medio físico. Para realizar este trabajo fueron seleccionados los atributos topográficos declividad y perfil de curvatura; en la pedología, las tipologías de suelo. Los resultados fueron representados en 5 clases: muy baja, baja, media, alta y muy alta susceptibilidad. Las áreas de susceptibilidad a erosión alta y muy alta, representan el 24% del municipio, sumado a ello en esas porciones se concentran el 26% de las erosiones, por lo tanto el tipo de suelo en conjunto con las características topográficas hacen de esas áreas las más propicias naturalmente a la ocurrencia de procesos erosivos. La clase de moderada susceptibilidad a erosión representa cerca del 40% del municipio y el 54% de los rasgos erosivos se concentran en esa unidad. Palabras claves: Erosión; Modelo Digital del Terreno; Álgebra del Mapas.

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Yang, Xihua, i Bofu Yu. "Modelling and mapping rainfall erosivity in New South Wales, Australia". Soil Research 53, nr 2 (2015): 178. http://dx.doi.org/10.1071/sr14188.

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Considerable seasonal and inter-annual changes exist in rainfall amount and intensity in New South Wales (NSW), Australia. These changes are expected to have significant effect on rainfall erosivity and soil erosion by water, but the magnitude of the impact is not well quantified because of the non-linear and dynamic nature of the relationship between rainfall amount and rainfall erosivity. The primary aim of this study was to model spatial and temporal variations in rainfall erosivity and impacts on hillslope erosion across NSW. We developed a daily rainfall erosivity model for NSW to calculate monthly and annual rainfall erosivity values by using gridded daily rainfall data for a continuous 53-year period including a baseline period (1961–90) and a recent period (2000–12). Model parameters were improved based on their geographic locations and elevations to be truly geo-referenced and representative of the regional relationships. Monthly and annual hillslope erosion risk for the same periods was estimated with the Revised Universal Soil Loss Equation. We produced finer scale (100-m) maps of rainfall erosivity and hillslope erosion through spatial interpolation techniques, and implemented the calculation of rainfall erosivity and hillslope erosion in a geographic information system by using automated scripts so that it is fast, repeatable and portable. The modelled rainfall erosivity values were compared with pluviograph calculations and previous studies, and the Nash–Sutcliffe coefficient of efficiency is >0.90. Outcomes from this study provide not only baseline information but also continuous estimates of rainfall erosivity and hillslope erosions allowing better monitoring and mitigation of hillslope erosion risk in NSW.

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Karydas, Christos, Ouiza Bouarour i Pandi Zdruli. "Mapping Spatio-Temporal Soil Erosion Patterns in the Candelaro River Basin, Italy, Using the G2 Model with Sentinel2 Imagery". Geosciences 10, nr 3 (27.02.2020): 89. http://dx.doi.org/10.3390/geosciences10030089.

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This study aims at mapping soil erosion caused by water in the Candelaro river basin, Apulia region, Italy, using the G2 erosion model. The G2 model can provide erosion maps and statistical figures at month-time intervals, by applying non data-demanding alternatives for the estimation of all the erosion factors. In the current research, G2 is taking a step further with the introduction of Sentinel2 satellite images for mapping vegetation retention factor on a fine scale; Sentinel2 is a ready-to-use, image product of high quality, freely available by the European Space Agency. Although only three recent cloud-free Sentinel2 images covering Candelaro were found in the archive, new solutions were elaborated to overcome time-gaps. The study in Candelaro resulted in a mean annual erosion rate of 0.87 t ha−1 y−1, while the autumn months were indicated to be the most erosive ones, with average erosion rates reaching a maximum of 0.12 t ha−1 in September. The mixed agricultural-natural patterns revealed to be the riskiest surfaces for most months of the year, while arable land was the most extensive erosive land cover category. The erosion maps will allow competent authorities to support relevant mitigation measures. Furthermore, the study in Candelaro can play the role of a pilot study for the whole Apulia region, where erosion studies are rather limited.

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Savelieva, D. A., i V. K. Kalichkin. "Application of digital technologies in the study of water erosion of soils in Western Siberia". Siberian Herald of Agricultural Science 49, nr 4 (28.09.2019): 86–100. http://dx.doi.org/10.26898/0370-8799-2019-4-10.

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The analysis of the study of water erosion of soils on the territory of the West Siberian Plain using geo-information technologies (GIS) and Earth remote sensing was carried out. It is shown that GIS and Earth remote sensing are not widely used in erosion studies in Western Siberia and are used by a limited number of modern researchers. However, the use of digital technologies in this area is characterized by the coverage of almost the full range of their capabilities and functions: digital mapping, the formation of spatially-distributed thematic databases, monitoring, space-time analysis, modeling, automated mapping. The bulk of such research is concentrated mainly within the Novosibirsk and Omsk regions, in the Altai Territory, and to a lesser extent in the Tomsk and Kemerovo regions. Digital technologies for studying water erosion in Western Siberia are more often used to study the dependence of water erosion on its determining factors (mainly topography), the effect of water erosion on soils and soil cover, in morphometric analysis of the relief, land classiﬁ cation and mapping. The problem of remote monitoring of the temporal dynamics of water erosion and related changes in topography, soil cover, soil properties, etc. is practically not dealt with. The issues of geoinformational modeling of water erosion in terms of elaboration of detail and scale, and coverage of a larger number of areas require further development. When modeling water erosion, the nature of surface runoff is not always taken into account. The approach to the selection of criteria for the assessment of erosional land at different scales of their mapping is not entirely clear. It remains an open question to develop a methodology for the automated calculation of standards for permissible erosional losses of soil. In general, the use of Earth remote sensing and GIS facilities in the study of water erosion in the soils of Western Siberia is not systematic and comprehensive. This is conﬁ rmed by the presence of a number of problems in the study of water erosion in the given area, which requires a digital approach to their solution.

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Smetanová, Anna, Anne Müller, Morteza Zargar, Mohamed A. Suleiman, Faraz Rabei Gholami i Maryam Mousavi. "Mesoscale Mapping of Sediment Source Hotspots for Dam Sediment Management in Data-Sparse Semi-Arid Catchments". Water 12, nr 2 (1.02.2020): 396. http://dx.doi.org/10.3390/w12020396.

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Land degradation and water availability in semi-arid regions are interdependent challenges for management that are influenced by climatic and anthropogenic changes. Erosion and high sediment loads in rivers cause reservoir siltation and decrease storage capacity, which pose risk on water security for citizens, agriculture, and industry. In regions where resources for management are limited, identifying spatial-temporal variability of sediment sources is crucial to decrease siltation. Despite widespread availability of rigorous methods, approaches simplifying spatial and temporal variability of erosion are often inappropriately applied to very data sparse semi-arid regions. In this work, we review existing approaches for mapping erosional hotspots, and provide an example of spatial-temporal mapping approach in two case study regions. The barriers limiting data availability and their effects on erosion mapping methods, their validation, and resulting prioritization of leverage management areas are discussed.

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VOLD, T., M. W. SONDHEIM i N. K. NAGPAL. "COMPUTER ASSISTED MAPPING OF SOIL EROSION POTENTIAL". Canadian Journal of Soil Science 65, nr 3 (1.08.1985): 411–18. http://dx.doi.org/10.4141/cjss85-045.

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Soil erosion potential maps and summary statistics can be produced from existing information with relative ease with the aid of computers. Soil maps are digitized and survey information is stored as attributes for each soil. Algorithms are then prepared which evaluate the appropriate data base attributes (e.g. texture, slope) for each interpretation. Forty surface soil erosion potential maps were produced for the Lower Fraser Valley which identify the most erosion-prone areas and indicate average potential soil losses to be expected under assumed conditions. The algorithm developed follows the universal soil loss equation. Differences across the landscape in the R, K, and S factors are taken into account whereas the L factor is considered as a constant equal to 1.0. Worst conditions of bare soil (no crop cover, i.e. C = 1.0) and no erosion control practices (i.e. P = 1.0) are assumed. The five surface soil erosion potential classes are determined by a weighted average annual soil loss value based both on the upper 20 cm of mineral soil and on the proportion of the various soils in the polygon. A unique polygon number shown on the erosion potential map provides a link to computer tables which give additional information for each individual soil within that polygon. Key words: Erosion, computer mapping, USLE

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Jakšík, O., R. Kodešová, A. Kapička, A. Klement, M. Fér i A. Nikodem. "Using magnetic susceptibility mapping for assessing soil degradation due to water erosion". Soil and Water Research 11, No. 2 (13.04.2016): 105–13. http://dx.doi.org/10.17221/233/2015-swr.

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CIHLAR, JOSEF. "A METHODOLOGY FOR MAPPING AND MONITORING CROPLAND SOIL EROSION". Canadian Journal of Soil Science 67, nr 3 (1.08.1987): 433–44. http://dx.doi.org/10.4141/cjss87-042.

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A methodology is described for mapping and monitoring the erosion of soil by water, using remote sensing techniques and the universal soil loss equation as the primary tools. Four aspects are covered: mapping baseline sheet and rill erosion, monitoring actual rill and gully erosion, estimating changes in potential sheet and rill erosion, and determining long-term trends. A successful field evaluation of the methodology was undertaken in a potato-growing area of New Brunswick. The implementation of the procedure using state-of-the-art microcomputer and satellite remote sensing technology is proposed. Key words: Soil erosion, remote sensing, geographic information systems

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Mustafic, Sanja, Stanimir Kostadinov i Predrag Manojlovic. "Risk of artificial lake 'Zavoj' to processes of erosion: Methodological, knowing and protecting aspect". Glasnik Srpskog geografskog drustva 88, nr 1 (2008): 29–42. http://dx.doi.org/10.2298/gsgd0801029m.

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In this paper land erosion has been investigated from its temporal and spatial variability point of view. The aim of the application of contemporary soft wares and satellite observations was to create an adequate data base which allows faster and more adequate possibility for monitoring the intensity of erosive processes, as well as meaningful decision for application of different ways of anti erosive techniques of the most dangerous areas. Geomorphologic mapping of erosive processes using plane and satellite images has allowed rational planning of field observations and, at the other side very detailed establishing of the intensity of previous erosion. A new approach applied in this paper during data processing of all relevant parameters influencing erosion is based on using of software Geomedia 5.2 (Intergraph).

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Frank, F., B. W. McArdell, C. Huggel i A. Vieli. "The importance of erosion for debris flow runout modelling from applications to the Swiss Alps". Natural Hazards and Earth System Sciences Discussions 3, nr 4 (10.04.2015): 2379–417. http://dx.doi.org/10.5194/nhessd-3-2379-2015.

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Abstract. This study describes an investigation of channel-bed erosion of sediment by debris flows. An erosion model, developed using field data from debris flows at the Illgraben catchment, Switzerland, was incorporated into the existing RAMMS debris-flow model, which solves the 2-D shallow-water equations for granular flows. In the erosion model, the relationship between maximum shear stress and measured erosion is used to determine the maximum potential erosion depth. Additionally, the maximum rate of erosion, measured at the same field site, is used to constrain the erosion rate. The model predicts plausible erosion values in comparison with field data from highly erosive debris flow events at the Spreitgraben torrent channel, Switzerland in 2010, without any adjustment to the coefficients in the erosion model. We find that by including channel erosion in runout models a more realistic flow pattern is produced than in simulations where entrainment is not included. In detail, simulations without channel bed erosion show more lateral outflow from the channel where it has not been observed in the field. Therefore the erosion model may be especially useful for practical applications such as hazard analysis and mapping, as well as scientific case studies of erosive debris flows.

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Ganai, I. H. "Soil Erosion Mapping of Khursi Micro-Watershed". International Journal of Pure & Applied Bioscience 5, nr 6 (30.12.2017): 1683–88. http://dx.doi.org/10.18782/2320-7051.6018.

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de Oliveira, Paulo Tarso Sanches, Teodorico Alves Sobrinho, Dulce Buchala Bicca Rodrigues i Elói Panachuki. "Erosion Risk Mapping Applied to Environmental Zoning". Water Resources Management 25, nr 3 (16.12.2010): 1021–36. http://dx.doi.org/10.1007/s11269-010-9739-0.

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Bou Kheir, Rania, Olivier Cerdan i Chadi Abdallah. "Regional soil erosion risk mapping in Lebanon". Geomorphology 82, nr 3-4 (grudzień 2006): 347–59. http://dx.doi.org/10.1016/j.geomorph.2006.05.012.

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Ali, Md Rayha, Zihad Ahmed, AHM Hedayutul Islam i Md Mizanoor Rahman. "River Bank Erosion, Induced Population Migration and Adaptation Strategies in the Sirajganj Sadar Upazila, Bangladesh". European Journal of Environment and Earth Sciences 2, nr 2 (30.04.2021): 39–47. http://dx.doi.org/10.24018/ejgeo.2021.2.2.131.

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Riverbank erosion, a regular natural phenomenon in the lower confluence deltaic country like Bangladesh. Among the natural disaster effecting Bangladesh each year, river bank erosion is the most vulnerable in term of effected people and loss of assets. As a riverine country there are huge number of rivers and their tributaries and distributaries criss-crossed over the country, but the mighty three rivers like the Padma, Jamuna and Meghna are mostly known for the erosional characteristics. River bank erosion possesses as a significant, endemic and recurrent natural disaster in Bangladesh by these rivers. This research is designed to explore the erosional pattern of the river Jamuna and its impact on population migration and the adaptation strategy of the migrants. For the study primary data were collected from the study area through questionnaire survey, FGD and mapping analysis while secondary data were collected from published and unpublished reports of different offices such as land office, union parisad office, census report, BBS, WDB etc. However, to analyze the trend of erosion mapping analysis was conducted through ArcGIS 10.3 and for statistical analysis SPSS software was used. The research findings indicate that the Jamuna is a highly dynamic river in term of erosion. Due to its severity and dynamic erosional pattern possess mass number of people to be displaced by losing settlements and agricultural land. River bank erosion of Jamuna River invites many obligatory problems at different stages of displacements like loss of residence, household assets, agricultural land etc. Though it pushes the victims to readjust all their activities associated to livelihood pattern as an adaptation strategy with a newer socio-environmental situation, but very often becomes unable to recover the damage even spending considerable time. From this point of view, river bank erosion needs to be considered as a unique disaster and give attention to take comprehensive riverbank erosion management policy, so that problem can be minimized to a tiny scale.

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Nazarok, P., O. Kruglov, O. Menshov, M. Kutsenko i A. Sukhorada. "Mapping soil erosion using magnetic susceptibility. A case study in Ukraine". Solid Earth Discussions 6, nr 1 (12.03.2014): 831–48. http://dx.doi.org/10.5194/sed-6-831-2014.

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Abstract. The intrinsic element grouping of the magnetic susceptibility (MS) values is conducted. The relation between MS values and erosion index is shown. The objective of the investigation is study of the information about magnetic susceptibility of soils as a diagnostic criterion to erodibility. The investigations were conducted in the limits of Tcherkascy Tishki territory, Kharkiv district. The soils of the territory are presented by catenary row of chernozems. The study area was used in the field crop rotation. The soil conservation technologies have not been applied. The data analyze confirmed high correlation of the MS, erosive index and humus content. The possibility of MS cartogram using at the soil erodibility map is presented. The magnetic methods can be extensively used at the soil erosion investigations thanks to the speed and low cost.

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Smirnova, M. A., A. P. Zhidkin, N. I. Lozbenev, E. A. Zazdravnykh i D. N. Kozlov. "Digital mapping of erosion degree of soils using the factor - property and factor - process - property models (the south of the Central Russian upland)". Dokuchaev Soil Bulletin, nr 104 (3.12.2020): 158–98. http://dx.doi.org/10.19047/0136-1694-2020-104-158-198.

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Soil degradation resulting from water erosion poses a serious threat to food and environmental security, therefore the research of soil erosion features and soil erosion mapping do not lose their relevance. The paper presents the results of large-scale digital mapping of the erosion degree of the arable soils in the Prokhorovsky district of the Belgorod region (85 thousand hectares), based on two approaches: (1) linking the factors of erosion-accumulative processes and the erosion degree of soil directly (factor -property model), and (2) due to imitation erosion model WaTEM/SEDEM (factor - process - property model). The inclusion of the process component into the digital soil mapping algorithm allows taking into account not only the spatial but also the temporal soil erosion features. It was revealed that the agricultural development of the Prokhorovsky district was primarily carried out on lands that are weakly prone to erosion, with the rate of erosion almost two times lower than on younger arable lands. As a result, the soil erosion maps, based on the factor - process - property model, with and without taking into account the duration of agricultural use, largely correspond to each other. Dominant soil categories (the map pixel corresponds to one soil taxa - noneroded and slightly eroded, medium, highly eroded), mapping by factor -property and factor - process - property models, have a high degree of correspondence to each other (prediction identity for 90% of pixels), while the soil combinations (the map pixel has information on the proportion of soils with different erosion degrees of soil) more significant (identity for less than 60% of pixels). The areas of zonal, erosion-zonal, and weakly eroded soil combinations differ 1.5-2 times, in the direction of a greater degree of soil erosion on the factor - process - property map.

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Cardoso, Cristina Braz, Luís Eduardo de Souza Robaina i Edgardo Ramos Medeiros. "Mapeamento de unidades geomorfológicas: bacias hidrográficas Arroio São João e Sanga da Divisa, Alegrete - RS". Ciência e Natura 25, nr 25 (9.12.2003): 129. http://dx.doi.org/10.5902/2179460x27242.

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This paper presents a contribution for study from the São João and Divisa Basin, Alegrete county (RS), where occur growing erosion. With of the mapping was possible separate five individual geomorphologic units using attributes included morphometric, geological, soil, erosion process, land use and vegetation. The mapping is an indispensable tool to aid and to manage in areas with growing erosion.

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Sinha, Rajiv, Sanjoy Das i Onkar Dikshit. "GIS-assisted mapping of catchment-scale erosion and sediment sources, Garhwal Himalaya, India". Zeitschrift für Geomorphologie 46, nr 2 (3.07.2002): 145–65. http://dx.doi.org/10.1127/zfg/46/2002/145.

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Lovric, Novica, i Radislav Tosic. "Assessment of soil erosion and sediment yield using erosion potential method: Case study - Vrbas river basin (B&H)". Glasnik Srpskog geografskog drustva 98, nr 1 (2018): 1–14. http://dx.doi.org/10.2298/gsgd180215002l.

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Soil erosion is one of the most significant forms of land degradation in the Bosnia and Herzegovina. The mapping of soil erosion in B&H, as in the study area, was realized 30 years ago (1979-1985). The past decades has been marked by the changes which retained visible tracks and caused numerous changes in the intensity of erosion processes. In this paper, the mapping of the recent state of erosion intensity was performed, and then an analysis of changes was made in relation to the state of 30 years ago. The erosion potential method (EPM) was used for mapping the soil erosion and calculation of gross annual erosion and sediment yield. Erosion Map of the Vrbas river basin was made in the scale of 1:25,000. This Erosion Map counts a total of 69 topographic sections and 4,524 erosion polygons (plots). According to the Erosion Map of the Vrbas river basin, 5,666.88 km2 of the study area is affected by erosion, while 621.71 km2 are accumulating sediments. Annual gross erosion in the Vrbas river basin is 1,223,989.60 m3/year, while sediment yield is 366,088.10 m3/year. These research results are important because this is the first soil erosion map for the Vrbas river basin with EPM methodology for the whole river basin on territory of Bosnia and Herzegovina. The results can be applied in the field of spatial and urban planning, water and soil management on the local and regional level.

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Wang, Li Hui, Jin Liang Huang, Yun Du, Yan Xia Hu, Peng Peng Han i Jiu Ling Wang. "Priority Areas Mapping for Controlling Soil Erosion in Danjiangkou Reservoir Area". Advanced Materials Research 610-613 (grudzień 2012): 2995–99. http://dx.doi.org/10.4028/www.scientific.net/amr.610-613.2995.

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Danjiangkou reservoir area is the main water source area and submerged area of the Middle Route South-to-North Water Transfer Project of China. Soil erosion is a significant influence factor in reservoir water quality and water transfer project success. The objective of this paper is to assess the soil erosion risk and mapping priority areas for controlling soil erosion of Danjiangkou reservoir area. The results indicated that the top three conservation priority levels cover almost all regions with severe erosion and prominent increase in erosion risk, with a total acreage of 3,531.543km2, accounting for 19.703% of the study area. These three levels to be managed as erosion control regions with appropriate conservation strategies in future projects. The study results will provide guidance in developing and implementing water conservation planning and to assist government agencies in decision-making for determining erosion control area, starting regulation project and making soil conservation measures.

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Mosavi, Amirhosein, Farzaneh Sajedi-Hosseini, Bahram Choubin, Fereshteh Taromideh, Gholamreza Rahi i Adrienn Dineva. "Susceptibility Mapping of Soil Water Erosion Using Machine Learning Models". Water 12, nr 7 (14.07.2020): 1995. http://dx.doi.org/10.3390/w12071995.

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Soil erosion is a serious threat to sustainable agriculture, food production, and environmental security. The advancement of accurate models for soil erosion susceptibility and hazard assessment is of utmost importance for enhancing mitigation policies and laws. This paper proposes novel machine learning (ML) models for the susceptibility mapping of the water erosion of soil. The weighted subspace random forest (WSRF), Gaussian process with a radial basis function kernel (Gaussprradial), and naive Bayes (NB) ML methods were used in the prediction of the soil erosion susceptibility. Data included 227 samples of erosion and non-erosion locations through field surveys to advance models of the spatial distribution using predictive factors. In this study, 19 effective factors of soil erosion were considered. The critical factors were selected using simulated annealing feature selection (SAFS). The critical factors included aspect, curvature, slope length, flow accumulation, rainfall erosivity factor, distance from the stream, drainage density, fault density, normalized difference vegetation index (NDVI), hydrologic soil group, soil texture, and lithology. The dataset cells of samples (70% for training and 30% for testing) were randomly prepared to assess the robustness of the different models. The functional relevance between soil erosion and effective factors was computed using the ML models. The ML models were evaluated using different metrics, including accuracy, the kappa coefficient, and the probability of detection (POD). The accuracies of the WSRF, Gaussprradial, and NB methods were 0.91, 0.88, and 0.85, respectively, for the testing data; 0.82, 0.76, and 0.71, respectively, for the kappa coefficient; and 0.94, 0.94, and 0.94, respectively, for POD. However, the ML models, especially the WSRF, had an acceptable performance regarding producing soil erosion susceptibility maps. Maps produced with the most robust models can be a useful tool for sustainable management, watershed conservation, and the reduction of soil and water loss.

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Buryak, Z. A., P. A. Ukrainsky, S. V. Lukin i E. A. Terekhin. "Digital mapping of soil erosion using ordinal regression". Geodesy and Cartography 967, nr 1 (20.02.2021): 23–33. http://dx.doi.org/10.22389/0016-7126-2021-967-1-23-33.

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The authors describe a methodology of automated making soil erosion class maps using ordinal logistic regression, where relief characteristics are predictors. For mapping, a probabilistic approach is used, in which it is proposed to evaluate the possibility of belonging to several arbitrary erosion classes for each point in space

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25

Đomlija, Bernat Gazibara, Arbanas i Mihalić Arbanas. "Identification and Mapping of Soil Erosion Processes Using the Visual Interpretation of LiDAR Imagery". ISPRS International Journal of Geo-Information 8, nr 10 (5.10.2019): 438. http://dx.doi.org/10.3390/ijgi8100438.

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Soil erosion processes are a type of geological hazard. They cause soil loss and sediment production, landscape dissection, and economic damage, which can, in the long term, result in land abandonment. Thus, identification of soil erosion processes is necessary for sustainable land management in an area. This study presents the potential of visual interpretation of high resolution LiDAR (light detection and ranging) imagery for direct and unambiguous identification and mapping of soil erosion processes, which was tested in the study area of the Vinodol Valley (64.57 km2), in Croatia. Eight LiDAR images were derived from the 1 m airborne LiDAR DTM (Digital Terrain Model) and were used to identify and map gully erosion, sheet erosion, and the combined effect of rill and sheet erosion, with the ultimate purpose to create a historical erosion inventory. The two-step procedure in a visual interpretation of LiDAR imagery was performed: preliminary and detailed. In the preliminary step, possibilities and limitations for unambiguous identification of the soil erosion processes were determined for representative portions of the study area, and the exclusive criteria for the accurate and precise manual delineation of different types of erosion phenomena were established. In the detailed step, the findings from the preliminary step were used to map the soil erosion phenomena in the entire studied area. Results determined the highest potential for direct identification and mapping of the gully erosion phenomena. A total of 236 gullies were identified and precisely delineated, although most of them were previously unknown, due to the lack of previous investigations on soil erosion processes in the study area. On the other hand, the used method was proven to be inapplicable for direct identification and accurate mapping of the sheet erosion. Sheet erosion, however, could have been indirectly identified on certain LiDAR imagery, based on recognition of colluvial deposits accumulated at the foot of the eroded slopes. Furthermore, the findings of this study present which of the used LiDAR imagery, and what features of the imagery used, are most effective for identification and mapping of different types of erosion processes.

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Mujiyo, Mujiyo, Sumani Sumani i Joko Winarno. "Aplikasi Sistem Informasi Geografi (Gis) untuk Pemetaan dan Simulasi Erosi Tanah". Caraka Tani: Journal of Sustainable Agriculture 22, nr 1 (21.04.2018): 60. http://dx.doi.org/10.20961/carakatani.v22i1.20544.

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The aims of the research are to use the technology of the geographic information system for mapping and simulation of the soil erosion, and to know the difference betweet actual and potential erosion on the spesific land use type. The area of the research is Jumapolo District, Karanganyar Regency. USLE equation method (R=R.K.L.S.C.P) was used to predict the soil erosion intensity. The steps of the research are (1) pre-survey, prepared equipments for suvey, (2) survey, was done by exploring predertemined land map unit, and (3) labs, analysis of the soil samples, the rainfall data and teh ArcView GIS. Analysis was done using rating based on Zachar (1982) in order to know the difference of the soil erosion intensity.The results of the research are first, geographic information system is useful to mapping and simulation of the soil erosion, especially to calculate data that numerous and difficult, to overlay, to layout the map (or the other spasial data) and the statistic of land area, second, Jumapolo District has variability of the soil erosion intensity i.e. very slight 25,77 ha (0,62% of the agriculture land area), slight 815,71 ha (20,39%), moderate 1.094,69 ha (25,49%), severe 1.150,58 ha (33,09%), very severe 827,25 ha (18,88%) and catastrophic 243,69 ha (1,53%) and third, the change of the land unit type and the conservation technic can change the soil erosio intensity. Simulation process result that land area which have soil erosion intensity severe, very severe and catastrophic changes become slight and moderate, therefore the new compotitions of the soil erosion intensity are very slight 25,77 ha (0,62%), slight 1.665,48 ha (40,06%), moderate 2.466,43 ha (59,32%), and each severe, very severe and catastrophic 0 ha (0%).

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Le, Trung Van, Hoang Thi Kim Nguyen i Anh Thi Ngoc Nguyen. "GIS and Remote Sensing solution for Dalat city’s soil erosion mapping". Science and Technology Development Journal 19, nr 2 (30.06.2016): 46–54. http://dx.doi.org/10.32508/stdj.v19i2.700.

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This paper introduces the solution for Dalat city’s soil erosion mapping using the integration of GIS, Remote Sensing and the Universal Soil Loss Equation (USLE). Each of the USLE factors with associated attribute data are dicussed and the soil erosion parameters were selected and encoded in a GIS database to produce thematic layers. The result demonstrates the soil erosion map that indicates the potential annual soil loss located in each area of land. This map is used to confirm the severe level of soil erosion risk need immediate attention from soil conservation point of view.

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Rulev, Aleksandr, i Valeriy Yuferev. "Theory of geoinformatic mapping of erosion geomorphological systems". Vestnik Volgogradskogo Gosudarstvennogo Universiteta. Serija 11. Estestvennye nauki, nr 4 (grudzień 2015): 62–67. http://dx.doi.org/10.15688/jvolsu11.2015.4.7.

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Torkashvan, Ali Mohammadi. "Investigation of Some Methodologies for Gully Erosion Mapping". Journal of Applied Sciences 8, nr 13 (15.06.2008): 2435–41. http://dx.doi.org/10.3923/jas.2008.2435.2441.

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Le Bissonnais, Yves, Cécile Montier, Marcel Jamagne, Joël Daroussin i Dominique King. "Mapping erosion risk for cultivated soil in France". CATENA 46, nr 2-3 (styczeń 2002): 207–20. http://dx.doi.org/10.1016/s0341-8162(01)00167-9.

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TENG, Hong-fen, Jie HU, Yue ZHOU, Lian-qing ZHOU i Zhou SHI. "Modelling and mapping soil erosion potential in China". Journal of Integrative Agriculture 18, nr 2 (luty 2019): 251–64. http://dx.doi.org/10.1016/s2095-3119(18)62045-3.

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Vaidyanathan, N. S., G. Sharma, R. Sinha i O. Dikshit. "Mapping of erosion intensity in the Garhwal Himalaya". International Journal of Remote Sensing 23, nr 20 (styczeń 2002): 4125–29. http://dx.doi.org/10.1080/01431160110114961.

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Chávez Hernandez, José Alexander, Jiři Šebesta, Lubomir Kopecky i Reynaldo López Landaverde. "Application of geomorphologic knowledge for erosion hazard mapping". Natural Hazards 71, nr 3 (12.11.2013): 1323–54. http://dx.doi.org/10.1007/s11069-013-0948-8.

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van Beurden, S. A. H. A., i H. Th Riezebos. "The application of geostatistics in erosion hazard mapping". Soil Technology 1, nr 4 (grudzień 1988): 349–64. http://dx.doi.org/10.1016/0933-3630(88)90014-1.

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Issa, Lamiae Khali, Ahmed Raissouni, Rachid Moussadek i Abdelkrim El Arrim. "Mapping and Assessment of Water Erosion in the Khmiss Watershed (North Western Rif, Morocco)". Current Advances in Environmental Science 2, nr 4 (30.11.2014): 119–30. http://dx.doi.org/10.14511/caes.2014.020401.

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Frank, F., B. W. McArdell, C. Huggel i A. Vieli. "The importance of entrainment and bulking on debris flow runout modeling: examples from the Swiss Alps". Natural Hazards and Earth System Sciences 15, nr 11 (30.11.2015): 2569–83. http://dx.doi.org/10.5194/nhess-15-2569-2015.

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Abstract. This study describes an investigation of channel-bed entrainment of sediment by debris flows. An entrainment model, developed using field data from debris flows at the Illgraben catchment, Switzerland, was incorporated into the existing RAMMS debris-flow model, which solves the 2-D shallow-water equations for granular flows. In the entrainment model, an empirical relationship between maximum shear stress and measured erosion is used to determine the maximum potential erosion depth. Additionally, the average rate of erosion, measured at the same field site, is used to constrain the erosion rate. The model predicts plausible erosion values in comparison with field data from highly erosive debris flow events at the Spreitgraben torrent channel, Switzerland in 2010, without any adjustment to the coefficients in the entrainment model. We find that by including bulking due to entrainment (e.g., by channel erosion) in runout models a more realistic flow pattern is produced than in simulations where entrainment is not included. In detail, simulations without entrainment show more lateral outflow from the channel where it has not been observed in the field. Therefore the entrainment model may be especially useful for practical applications such as hazard analysis and mapping, as well as scientific case studies of erosive debris flows.

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37

Středová, Hana, i František Toman. "Erosion potential of snow cover in the Czech Republic". Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 60, nr 1 (2012): 117–24. http://dx.doi.org/10.11118/actaun201260010117.

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Amount of water derived from snow and melting rate can be collectively described as the erosion potential of water accumulated in the snow. The erosion potential of snow was calculated for thirty cold periods i.e. 1st November to 30th April (1980/1981 to 2009/2010) based on climatilogical data of fifty stations of Czech hydrometerological station from different climatic conditions according to Climatic region of Estimated Pedological Ecological Unit. Snow erosive potential statistically significantly depends on altitude (r = 0.726**, α = 0.01) and also on climatic region (r = 0.790**, α = 0.01). Mapping expression was based on average values of thirty-year period. Range of snow erosive potential in the map responces to quantile values, quintile values respectively (Q0.2, Q0.4, Q0.6, Q0.8). A map of erosion potential of snow cover for arable land deals with an assumption of arable land incidence. It was determined by excluding forests, built area, land with a slope of 12 ° and areas with an altitude of 700 m.

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38

Ding, Hu, Kai Liu, Xiaozheng Chen, Liyang Xiong, Guoan Tang, Fang Qiu i Josef Strobl. "Optimized Segmentation Based on the Weighted Aggregation Method for Loess Bank Gully Mapping". Remote Sensing 12, nr 5 (2.03.2020): 793. http://dx.doi.org/10.3390/rs12050793.

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The Chinese Loess Plateau suffers severe gully erosion. Gully mapping is a fundamental task for gully erosion monitoring in this region. Among the different gully types in the Loess Plateau, the bank gully is usually regarded as the most important source for the generation of sediment. However, approaches for bank gully extraction are still limited. This study put forward an integrated framework, including segmentation optimization, evaluation and Extreme Gradient Boosting (XGBoost)-based classification, for the bank gully mapping of Zhifanggou catchment in the Chinese Loess Plateau. The approach was conducted using a 1-m resolution digital elevation model (DEM), based on unmanned aerial vehicle (UAV) photogrammetry and WorldView-3 imagery. The methodology first divided the study area into different watersheds. Then, segmentation by weighted aggregation (SWA) was implemented to generate multi-level segments. For achieving an optimum segmentation, area-weighted variance (WV) and Moran’s I (MI) were adopted and calculated within each sub-watershed. After that, a new discrepancy metric, the area-number index (ANI), was developed for evaluating the segmentation results, and the results were compared with the multi-resolution segmentation (MRS) algorithm. Finally, bank gully mappings were obtained based on the XGBoost model after fine-tuning. The experiment results demonstrate that the proposed method can achieve superior segmentation compared to MRS. Moreover, the overall accuracy of the bank gully extraction results was 78.57%. The proposed approach provides a credible tool for mapping bank gullies, which could be useful for the catchment-scale gully erosion process.

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Wang, Wei, Alim Samat, Yongxiao Ge, Long Ma, Abula Tuheti, Shan Zou i Jilili Abuduwaili. "Quantitative Soil Wind Erosion Potential Mapping for Central Asia Using the Google Earth Engine Platform". Remote Sensing 12, nr 20 (19.10.2020): 3430. http://dx.doi.org/10.3390/rs12203430.

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A lack of long-term soil wind erosion data impedes sustainable land management in developing regions, especially in Central Asia (CA). Compared with large-scale field measurements, wind erosion modeling based on geospatial data is an efficient and effective method for quantitative soil wind erosion mapping. However, conventional local-based wind erosion modeling is time-consuming and labor-intensive, especially when processing large amounts of geospatial data. To address this issue, we developed a Google Earth Engine-based Revised Wind Erosion Equation (RWEQ) model, named GEE-RWEQ, to delineate the Soil Wind Erosion Potential (SWEP). Based on the GEE-RWEQ model, terabytes of Remote Sensing (RS) data, climate assimilation data, and some other geospatial data were applied to produce monthly SWEP with a high spatial resolution (500 m) across CA between 2000 and 2019. The results show that the mean SWEP is in good agreement with the ground observation-based dust storm index (DSI), satellite-based Aerosol Optical Depth (AOD), and Absorbing Aerosol Index (AAI), confirming that GEE-RWEQ is a robust wind erosion prediction model. Wind speed factors primarily determined the wind erosion in CA (r = 0.7, p < 0.001), and the SWEP has significantly increased since 2011 because of the reversal of global terrestrial stilling in recent years. The Aral Sea Dry Lakebed (ASDLB), formed by shrinkage of the Aral Sea, is the most severe wind erosion area in CA (47.29 kg/m2/y). Temporally, the wind erosion dominated by wind speed has the largest spatial extent of wind erosion in Spring (MAM). Meanwhile, affected by the spatial difference of the snowmelt period in CA, the wind erosion hazard center moved from the southwest (Karakum Desert) to the middle of CA (Kyzylkum Desert and Muyunkum Desert) during spring. According to the impacts of land cover change on the spatial dynamic of wind erosion, the SWEP of bareland was the highest, while that of forestland was the lowest.

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Petrikovičová, Lucia, Zuzana Rampašeková i Jaroslava Sobocká. "A Detailed Identification of Erosionally Endangered Agricultural Land in Slovakia (Case Study of Nitra Upland)". Sustainability 12, nr 12 (15.06.2020): 4863. http://dx.doi.org/10.3390/su12124863.

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Water erosion and its processes are the most widespread and serious degradation phenomena in Slovakia (occurring in about 37% of the agricultural land). Given the increasing use of precise land management, it is necessary to have more detailed databases, especially in erosion-accumulation areas. The aim of the research was to identify in detail the areas of erosion-accumulation processes induced by water erosion, which can be considered as highly heterogeneous. In the territory of the Nitra upland the field survey methodology and grid mapping were used, the results of which were verified through soil erosion models. The mapping was done at the topic level and was verified using the USLE and ERDEP soil erosion models in ArcGIS. A comparison of the results of the potential model and real field parameters of soil erosion in the Nitra upland enabled us to generate dominant factors, respectively identify areas prone to soil erosion, and provided a detailed database for precise farming. At the same time, the results became the basis for a review of the current classification by erosion endangered soils. Overall, the methodology is suitable as a basis for developing sustainable management proposals in agricultural land affected by soil erosion risk.

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Tosic, Radislav, i Slavoljub Dragicevic. "Methodology update for determination of the erosion coefficient(Z)". Glasnik Srpskog geografskog drustva 92, nr 1 (2012): 11–26. http://dx.doi.org/10.2298/gsgd1201011t.

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The research and mapping the intensity of mechanical water erosion that have begun with the empirical methodology of S. Gavrilovic during the mid-twentieth century last, by various intensity, until the present time. A many decades work on the research of these issues pointed to some shortcomings of the existing methodology, and thus the need for its innovation. In this sense, R. Lazarevic made certain adjustments of the empirical methodology of S. Gavrilovic by changing the tables for determination of the coefficients ?, X and Y, that is, the tables for determining the mean erosion coefficient (Z). The main objective of this paper is to update the existing methodology for determining the erosion coefficient (Z) with the empirical methodology of S. Gavrilovic and amendments made by R. Lazarevic (1985), but also with better adjustments to the information technologies and the needs of modern society. The proposed procedure, that is, the model to determine the erosion coefficient (Z) in this paper is the result of ten years of scientific research and project work in mapping the intensity of mechanical water erosion and its modeling using various models of erosion in the Republic of Srpska and Serbia. By analyzing the correlation of results obtained by regression models and results obtained during the mapping of erosion on the territory of the Republic of Srpska, a high degree of correlation (R? = 0.9963) was established, which is essentially a good assessment of the proposed models.

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42

Senanayake, Sumudu, Biswajeet Pradhan, Alfredo Huete i Jane Brennan. "A Review on Assessing and Mapping Soil Erosion Hazard Using Geo-Informatics Technology for Farming System Management". Remote Sensing 12, nr 24 (11.12.2020): 4063. http://dx.doi.org/10.3390/rs12244063.

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Soil erosion is a severe threat to food production systems globally. Food production in farming systems decreases with increasing soil erosion hazards. This review article focuses on geo-informatics applications for identifying, assessing and predicting erosion hazards for sustainable farming system development. Several researchers have used a variety of quantitative and qualitative methods with erosion models, integrating geo-informatics techniques for spatial interpretations to address soil erosion and land degradation issues. The review identified different geo-informatics methods of erosion hazard assessment and highlighted some research gaps that can provide a basis to develop appropriate novel methodologies for future studies. It was found that rainfall variation and land-use changes significantly contribute to soil erosion hazards. There is a need for more research on the spatial and temporal pattern of water erosion with rainfall variation, innovative techniques and strategies for landscape evaluation to improve the environmental conditions in a sustainable manner. Examining water erosion and predicting erosion hazards for future climate scenarios could also be approached with emerging algorithms in geo-informatics and spatiotemporal analysis at higher spatial resolutions. Further, geo-informatics can be applied with real-time data for continuous monitoring and evaluation of erosion hazards to risk reduction and prevent the damages in farming systems.

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Javidan, Kavian, Pourghasemi, Conoscenti i Jafarian. "Gully Erosion Susceptibility Mapping Using Multivariate Adaptive Regression Splines—Replications and Sample Size Scenarios". Water 11, nr 11 (6.11.2019): 2319. http://dx.doi.org/10.3390/w11112319.

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Soil erosion is a serious problem affecting numerous countries, especially, gully erosion. In the current research, GIS techniques and MARS (Multivariate Adaptive Regression Splines) algorithm were considered to evaluate gully erosion susceptibility mapping among others. The study was conducted in a specific section of the Gorganroud Watershed in Golestan Province (Northern Iran), covering 2142.64 km2 which is intensely influenced by gully erosion. First, Google Earth images, field surveys, and national reports were used to provide a gully-hedcut evaluation map consisting of 307 gully-hedcut points. Eighteen gully erosion conditioning factors including significant geoenvironmental and morphometric variables were selected as predictors. To model sensitivity of gully erosion, Multivariate Adaptive Regression Splines (MARS) was used while the Area Under the Receiver Operating Characteristic (ROC) Curve (AUC), drawing ROC curves, efficiency percent, Yuden index, and kappa were used to evaluate model efficiency. We used two different scenarios of the combination of the number of replications, and sample size, including 90%/10% and 80%/20% with 10 replications, and 70%/30% with five, 10, and 15 replications for preparing gully erosion susceptibility mapping (GESM). Each one involves a various subset of both positive (presence), and negative (absence) cases. Absences were extracted as randomly distributed individual cells. Therefore, the predictive competency of the gully erosion susceptibility model and the robustness of the procedure were evaluated through these datasets. Results did not show considerable variation in the accuracy of the model, with altering the percentage of calibration to validation samples and number of model replications. Given the accuracy, the MARS algorithm performed excellently in predictive performance. The combination of 80%/20% using all statistical measures including SST (0.88), SPF (0.83), E (0.79), Kappa (0.58), Robustness (0.01), and AUC (0.84) had the highest performance compared to the other combinations. Consequently, it was found that the performance of MARS for modelling gully erosion susceptibility is quite consistent while changes in the testing and validation specimens are executed. The intense acceptable prediction capability of the MARS model verifies the reliability of the method employed for use of this model elsewhere and gully erosion studies since they are qualified to quickly generating precise and exact GESMs (gully erosion sensitivity maps) to make decisions and management edaphic and hydrologic features.

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Waghmare, Balaji, i Madan Suryawanshi. "Mapping Soil Erosion Risk: Using Remote Sensing and Gis". IOSR Journal of Applied Geology and Geophysics 05, nr 03 (czerwiec 2017): 01–05. http://dx.doi.org/10.9790/0990-0503020105.

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Jayasekara, M. J. P. T. M., H. K. Kadupitiya i U. W. A. Vitharana. "Mapping of soil erosion hazard zones of Sri Lanka". Tropical Agricultural Research 29, nr 2 (29.05.2018): 135. http://dx.doi.org/10.4038/tar.v29i2.8284.

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Wickama, Juma, Aad Kessler i Geert Sterk. "Modelling and mapping erosion in smallholder agro-ecosystems, Tanzania". Land Degradation & Development 29, nr 8 (11.07.2018): 2299–309. http://dx.doi.org/10.1002/ldr.3073.

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Kozlovsky Dufková, Jana, i Jana Podhrázská. "Wind erosion on heavy-textured soils: calculation and mapping". Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 59, nr 6 (2011): 199–208. http://dx.doi.org/10.11118/actaun201159060199.

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The equation that expresses the influence of factors affecting soil aggregates breakdown, and thus wind erosion, originated from the results of laboratory simulations of soil aggregates breakdown due to low temperatures treatment, field measurements of air temperature and soil moisture, and statistical evaluation of gained outcomes. All the analyses, whether field or laboratory, were realized on three different soils from three different localities of the Bílé Karpaty Mountains foothills – Ostrožská Nová Ves, Blatnice pod Svatým Antonínkem, and Suchá Loz. The statistically significant factors, influencing the soil aggregates breakdown, were determined using multiple regression analysis and stepwise regression. Soil moisture content at time of freezing was the most significant factor affecting soil aggregates breakdown, content of soil particles < 0.01 mm was the least significant one. Based on the results of laboratory and field research there was created a map of heavy-textured soils that are vulnerable to wind erosion.

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de Jong van Lier, Quirijn, Gerd Sparovek, Dennis C. Flanagan, Elke M. Bloem i Ewald Schnug. "Runoff mapping using WEPP erosion model and GIS tools". Computers & Geosciences 31, nr 10 (grudzień 2005): 1270–76. http://dx.doi.org/10.1016/j.cageo.2005.03.017.

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Boardman, John. "The value of Google Earth™ for erosion mapping". CATENA 143 (sierpień 2016): 123–27. http://dx.doi.org/10.1016/j.catena.2016.03.031.

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Vrieling, Anton, Steven M. de Jong, Geert Sterk i Silvio C. Rodrigues. "Timing of erosion and satellite data: A multi-resolution approach to soil erosion risk mapping". International Journal of Applied Earth Observation and Geoinformation 10, nr 3 (wrzesień 2008): 267–81. http://dx.doi.org/10.1016/j.jag.2007.10.009.

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