Effect of pixel size on cartographic representation of shallow and deep-seated landslide, and its collateral effects on the forecasting of landslides by SINMAP and Multiple Logistic Regression landslide models

Paulín, Gabriel Legorreta; Bursik, Marcus; Lugo-Hubp, José; Orózco, José Juan Zamorano

doi:10.1016/j.pce.2010.04.008

Cited by 29 publications

(12 citation statements)

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“…Different pixel sizes restrict the comparison of two watersheds to a qualitative approach, based on the connectivity pattern. Other studies using indices based on topographical data have also shown the effect of the pixel size on results (Sørensen and Seibert, ; d’ Ozouville et al ., ; Legorreta Paulin et al ., ; Cavazzi et al ., ).…”

Section: Resultsmentioning

confidence: 97%

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How pixel size affects a sediment connectivity index in central Belgium

Cantreul

Bielders

Calsamiglia

et al. 2017

Earth Surf Processes Landf

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Connectivity has become an increasingly used concept in hydrological and sediment research. In order to quantify it, various indices have been proposed since the start of the 21st century including the index of connectivity. This index is based on a limited number of factors, the most important one being topography. Sediment connectivity indices values probably depend on the digital elevation model (DEM) resolution. The aim of this study was, first, to compare the effect of DEM pixel size (between 0.25 and 10 m, using an UAV) in the Belgian loess belt, a lowland area. We show that the index values were lower when the pixel size decreased (a difference of about 20% in value between 0.25 and 10 m). In addition, the impact of linear features in the watershed (e.g. grass strip, bank and road) was lower with the largest pixel sizes, and the connectivity pattern was affected with a pixel size of 5 m or more. At lower pixel sizes (1 m or below), some more disconnected regions appeared. These corresponded with zones where there had been water stagnation during and after rainfalls, and was corroborated by field observations. This confirmed the need for a proper resolution according to the objectives of the study. The second aim of this study was to deduce a minimum pixel size for connectivity study, helping local erosion or sedimentation location and consequent land management decisions. In our context, 1 m stands as the optimum DEM resolution. This pixel size permitted location of all ‘key areas’ in terms of erosion. Very high resolutions (<0.5 m) did not generate much more information, and their calculation time was far greater. Copyright © 2017 John Wiley & Sons, Ltd.

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Section: Resultsmentioning

confidence: 97%

“…The larger the pixel size, the fewer small areas (e.g. grass strips, roads or field limits) were visible (Legorreta Paulin et al ., ).…”

Section: Resultsmentioning

confidence: 99%

How pixel size affects a sediment connectivity index in central Belgium

Cantreul

Bielders

Calsamiglia

et al. 2017

Earth Surf Processes Landf

View full text Add to dashboard Cite

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“…Hazard assessments are usually indicated on a map which displays spatial distributions or hazard class zones [3,4]. However, the probability of landslide events is still difficult to clarify in most of the hazard maps due to different environmental conditions and the scarcity of previous landslide events or historical events [4,5]. As a result, most of the published hazard maps present only spatial information of landslide hazards and do not provide an estimate of when a landslide may occur.…”

Section: Introductionmentioning

confidence: 99%

Slope Stability Assessment Using Trigger Parameters and SINMAP Methods on Tamblingan-Buyan Ancient Mountain Area in Buleleng Regency, Bali

et al. 2017

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Abstract:The mapping of soil movement was examined by comparing an extension of the deterministic Soil Stability Index Mapping (SINMAP) method, and an overlay method with trigger parameters of soil movement. The SINMAP model used soil parameters in the form of the cohesion value (c), internal friction angle (φ), and hydraulic conductivity (k s ) for the prediction of soil movement based on the factor of safety (FS), while the indirect method used a literature review and field observations. The weightings of soil movement trigger parameters in assessments were based on natural physical aspects: (1) slope inclination = 30%; (2) rock weathering = 15%; (3) geological structure = 20%; (4) rainfall = 15%; (5) groundwater potential = 7%; (6) seismicity = 3%; and (7) vegetation = 10%. The research area was located in the Buleleng district, in particular in the ancient mountain area of Buyan-Tamblingan, in the Sukasada sub-district. The hazard mapping gave a high and very high hazard scale. The SINMAP model gave a validation accuracy of 14.29%, while the overlay method with seven trigger parameters produced an accuracy of 71.43%. Based on the analysis of the very high and high hazard class and the validation of the landslide occurrence points, the deterministic method using soil parameters and water absorption gave a much lower accuracy than the overlay method with a study of soil motion trigger parameters.

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“…According to Lee et al (2004), the frequency ratio models at 10 5m -30m resolutions were better performing than that of the larger pixels. Paulin et al (2010) states 11 that Stability Index Mapping models under-predict the artificially created landslides at 1m -10m 12 resolutions whereas Logistic Regression models over-predict. 13…”

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confidence: 99%