Evaluation of mass movements susceptibility trough multi-temporal studies and multi-spectral images using Remotely Piloted Aircraft System (RPAS): case of study San José de Aloburo – Pimampiro (Imbabura)
Mass removal phenomena such as landslides tend to be one of the natural threats with a highrisk index. Landslides occur when the material loses its optimum level of cohesion due to various natural or anthropogenic factors, causing an imbalance and as a result triggering a mass removal event. In most...
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| Hovedforfatter: | |
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| Format: | bachelorThesis |
| Sprog: | eng |
| Udgivet: |
2023
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| Fag: | |
| Online adgang: | http://repositorio.yachaytech.edu.ec/handle/123456789/702 |
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Tilføj Tag | Summary: | Mass removal phenomena such as landslides tend to be one of the natural threats with a highrisk index. Landslides occur when the material loses its optimum level of cohesion due to various natural or anthropogenic factors, causing an imbalance and as a result triggering a mass removal event. In most cases, the collapsing material tends to follow the line of greatest slope favored by the acceleration of gravity, takes on a certain velocity and displaces the entire contents by several or hundreds of meters. In the community of San José de Aloburo, belonging to the canton of Pimampiro in the province of Imbabura, a landslide event has occurred, sliding an area of 25.17 hectares, which will be the basis for analyzing and studying a series of variables such as spectral index, relative displacements, soil type, which will allow to describe and understand the behavior of the landslide. In the process of evaluating the susceptibility to landslides in the San José de Aloburo area, multitemporal monitoring of four temporalities has been carried out to observe the development of the landslide after its main event over time. The methods employed are related to the use of differential Global Navigation Satellite System (GNSS) that allow establishing their relative position accurately using Ground Control Points (GCPs), which form a monitoring polygon that can capture, calculate, evaluate and analyze the rate of movement and direction of the material in the landslide zone. In addition, remote sensing is used in the four temporalities using remote sensors such as multispectral sensors that capture spectral images, which through their spectral bands will allow calculating spectral indices such as normalized difference water index (NDWI) and normalized difference vegetation index (NDVI). In the context of being able to evaluate soil behavior based on its physical properties, soil type classification is performed on five samples collected in the field, applying the SUCS unified soil classification system, which uses the sieving method to obtain the particle size distribution in different opening diameters and subsequently presented in graphs of granulometric curves. The sieving tests will allow the use of the Atterberg limits to classify more accurately the type of soil, based on the calculation of the liquid limit, plastic limit and plasticity index. Finally, by means of a statistical analysis, the information obtained by remote sensing will be verified with respect to spectral bands, spectral indices such as NDWI and NDVI exclusively for the same extraction points of the percentage of moisture present in the sediment in order to obtain a model that can spatialize this last variable. |
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