SciELO - Scientific Electronic Library Online

 
vol.33 número2Metodología de análisis mediante el uso de información satelital de la estructura y morfología del sector norte del batolito de Achala y su encajonante metamórfico, Sierras Pampeanas de CórdobaPredictibilidad de riesgos geomorfológicos en el sistema hidroeléctrico Necaxa, Sierra Norte de Puebla, México índice de autoresíndice de materiabúsqueda de artículos
Home Pagelista alfabética de revistas  

Servicios Personalizados

Revista

Articulo

Indicadores

  • No hay articulos citadosCitado por SciELO

Links relacionados

  • No hay articulos similaresSimilares en SciELO

Compartir


Serie correlación geológica

versión On-line ISSN 1666-9479

Resumen

CISNEROS, Héctor et al. Determination of physical variables of the mendocino piedmont through the use of remote sensing tools in relation to geological risks. Ser. correl. geol. [online]. 2017, vol.33, n.2, pp.1-10. ISSN 1666-9479.

The metropolitan area of Mendoza, in periandean sectors, tends to accommodate and sustain geological processes of internal and external order related to seismic and alluvial events, among others. Because of the growing and uncontrolled urbanization especially onto capital city and metropolitan area, much of the population is moving into areas of significant slope, generating phenomena related with summer rainfall events activating landslides. These processes together with other of lower order, but not less important, expose thousands of people to geological risk. The development of mapping detail to establish mitigation plans, zoning and adequate contingency in the piedmont area western Mendoza are presented here. Studies with the base of OLI, ETM+ and TM landsat program information were made, in order to perform, multitemporal studies to determine urban growth rates. Simultaneously, digital pro-cessing was performed to establish stratigraphic, topographic differences, orientation, attitude and aniso-tropies because of structural deformations that could make physical parameters to determine geological and hydrological active hazard areas. Supervised classification (maximum likelihood), decision tree (using digital elevation models from own data), density slice; principal components and decorrelation strecht were included. The results provided a detailed cartographic output raster, complemented by field work, that allowed summarize information to successfully establish zones of seismic and hydrological poten-tial hazard. The resulting graphs are presented in this opportunity.

Palabras clave : Remote Sensing. OLI, ETM+ Images. Geological risk..

        · resumen en Español     · texto en Inglés     · Inglés ( pdf )

 

Creative Commons License Todo el contenido de esta revista, excepto dónde está identificado, está bajo una Licencia Creative Commons