Testing GIS-morphometric analysis of some Sicilian badlands

Caraballo-Arias, Nathalie Almaru; Conoscenti, Christian; Stefano, Costanza Di; Ferro, Vito

doi:10.1016/j.catena.2013.08.021

Cited by 33 publications

(30 citation statements)

References 36 publications

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“…For the fluvial case, Hack obtained coefficients c=1.4 and k=0.6 and affirmed that the value of the exponent in excess of 0.5 required that drainage basins became more elongate with increasing their size. Figure 5 shows the pairs L H -A of the calanchi measurements made in Anticaglia, Bicchinel area by Caraballo-Arias et al (2014) and those obtained by Buccolini et al (2012). This figure confirms the applicability of Hack's law for calanchi landforms with c=4.72 and k=0.39.…”

Section: Hack's Lawsupporting

confidence: 67%

“…However, as emphasised by Caraballo-Arias et al (2014), for a given value of L, the corresponding value of V for the calanchi is higher than those related to gully.…”

Section: Badland Morphologymentioning

confidence: 94%

“…(4) was tested by Caraballo-Arias et al (2014) for the 25 badland channels. Figure 3 shows the relationship (4) calibrated by L-V pairs observed on rills, EGs and gullies by Ichim et al (1990), Daba et al (2003), Bruno et al (2008), Moges and Holden (2008) and Di Stefano and Ferro (2011).…”

Section: Badland Morphologymentioning

confidence: 99%

“…Moreover, in order to verify the morphometric similarity between rills, EGs, gullies and badland channels, Caraballo-Arias et al (2014) applied the following power function between the two dimensionless groups proposed by Bruno et al (2008): (5) where Vi (m³) is the eroded volume of the -i channel segment, Li (m) is the channel length of the -i channel segment, wi and Hi are the mean width and depth of the cross sections delimiting the -i channel segment and m and p are two numerical constants. Figure 4 shows the pairs of the dimensionless groups obtained from the literature data (Daba et al, 2003;Cheng et al, 2006;Zhang et al, 2007;Moges and Holden, 2008;Capra et al, 2009;Di Stefano and Ferro, 2011) and the ones corresponding to badlands.…”

Section: Badland Morphologymentioning

confidence: 99%

See 3 more Smart Citations

Assessing, measuring and modelling erosion in calanchi areas: a review

Caraballo-Arias¹,

Ferro²

2016

J Agricult Engineer

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Calanchi are erosion landforms characterised by a heavily dissected terrain with steep, unvegetated slopes and channels with a dendritic pattern, which rapidly incise and extend headwards. Recent literature focusing on badland systems highlights their similarity with other larger fluvial landforms, stating that these behave as a full size laboratory, due to their rapid development in space and time and to the diversity of geomorphic processes involved.In this paper, a brief review of the most important results on badland research is firstly presented. Then, the morphometric similarity between calanchi and other erosion landforms is discussed. Finally, models quantitatively relating the volume of sediments eroded from calanchi landforms and a set of geometric features of their tributary areas, by exploiting the dimensional analysis and the self-similarity theory, are presented.

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Section: Hack's Lawsupporting

confidence: 67%

“…However, as emphasised by Caraballo-Arias et al (2014), for a given value of L, the corresponding value of V for the calanchi is higher than those related to gully.…”

Section: Badland Morphologymentioning

confidence: 94%

Section: Badland Morphologymentioning

confidence: 99%

Section: Badland Morphologymentioning

confidence: 99%

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Assessing, measuring and modelling erosion in calanchi areas: a review

Caraballo-Arias¹,

Ferro²

2016

J Agricult Engineer

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“…Los calanchi son cárcavas complejas, con escasa vegetación y elevada pendiente que presentan aristas divisorias muy marcadas y angulosas y procesos de erosión acelerada (Caraballo-Arias et al, 2014). Se trata de una forma muy dinámica que supone un reto para este tipo de estudios.…”

Section: Calanchi En Siciliaunclassified

Elaboración de modelos 3D de diferentes morfologías y escalas utilizando técnicas Structure-from-Motion y fotografías terrestres

Gutiérrez

Schnabel

Conoscenti

et al. 2016

CyG

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En este trabajo se evalúan los métodos de foto-reconstrucción automatizada basados en el uso conjunto de las técnicas Structure from Motion (SfM) y Multi-View Stereo (MVS) para medir, monitorizar y cuantificar la dinámica de tres formas geomorfológicas: i) el glaciar rocoso del Corral del Veleta (Granada, España), ii) un paisaje de cárcavas de tipo calanchi (Sicilia, Italia) y ii) cinco pequeñas cabeceras de cárcava (Cáceres, España). Se incluyen en este trabajo los resultados sobre la precisión, utilidad y aplicabilidad de estas técnicas. Para la cuantificación de la precisión se utilizan el error cuadrático medio (RMSE) de los puntos de control que se emplean en la georreferenciación y las distancias medias absolutas entre cada nube de puntos y una nube de puntos de referencia calculadas con los métodos cloud-to-cloud y multiscale model-to-model cloud comparison. Para los casos i) y iii) las nubes de referencia se capturaron utilizando un escáner láser terrestre, mientras que para el caso ii) se empleó un modelo digital de elevaciones obtenido mediante fotogrametría clásica aplicada a fotogramas aéreos capturados con un vehículo aéreo no tripulado. Los resultados de estos análisis mostraron precisiones de rango centimétrico con distancias medias a los modelos de referencia que oscilaron entre 0,01 m y 0,42 m. Las precisiones estimadas indican que los modelos obtenidos podrían utilizarse para calcular el volumen de cambio geomorfológico, tan sólo en el caso de las cabeceras. En el caso del glaciar y del calanchi los modelos podrían emplearse para elaborar cartografía precisa o estimar parámetros morfológicos, pero no para registrar cambios a escala anual.

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Assessment of calanchi and rill–interrill erosion susceptibilities using terrain analysis and geostochastics: A case study in the Oltrepo Pavese, Northern Apennines, Italy

Bosino

Giordani

Quénéhervé

et al. 2020

Earth Surf Processes Landf

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Soil erosion is one of the most important environmental problems distributed worldwide. In the last decades, numerous studies have been published on the assessment of soil erosion and the related processes and forms using empirical, conceptual and physically based models. For the prediction of the spatial distribution, more and more sophisticated stochastic modelling approaches have been proposed – especially on smaller spatial scales such as river basins. In this work, we apply a maximum entropy model (MaxEnt) to evaluate badlands (calanchi) and rill–interrill (sheet erosion) areas in the Oltrepo Pavese (Northern Apennines, Italy). The aim of the work is to assess the important environmental predictors that influence calanchi and rill–interrill erosion at the regional scale. We used 13 topographic parameters derived from a 12 m digital elevation model (TanDEM‐X) and data on the lithology and land use. Additional information about the vegetation is introduced through the normalized difference vegetation index based on remotely sensed data (ASTER images). The results are presented in the form of susceptibility maps showing the spatial distribution of the occurrence probability for calanchi and rill–interrill erosion. For the validation of the MaxEnt model results, a support vector machine approach was applied. The models show reliable results and highlight several locations of the study area that are potentially prone to future soil erosion. Thus, coping and mitigation strategies may be developed to prevent or fight the soil erosion phenomenon under consideration. © 2020 John Wiley & Sons, Ltd.

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Testing GIS-morphometric analysis of some Sicilian badlands

Cited by 33 publications

References 36 publications

Assessing, measuring and modelling erosion in calanchi areas: a review

Assessing, measuring and modelling erosion in calanchi areas: a review

Elaboración de modelos 3D de diferentes morfologías y escalas utilizando técnicas Structure-from-Motion y fotografías terrestres

Assessment of calanchi and rill–interrill erosion susceptibilities using terrain analysis and geostochastics: A case study in the Oltrepo Pavese, Northern Apennines, Italy

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