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Use of Remote Sensing Data for Landslide Change Detection: Montescaglioso Large Landslide (Basilicata, Southern Italy)

Use of Remote Sensing Data for Landslide Change Detection: Montescaglioso Large Landslide (Basilicata, Southern Italy)

Stefania Pascale, Vittoria Pastore, Francesco Sdao, Aurelia Sole, Dimitri Roubis, Pietro Lorenzo
Copyright: © 2012 |Volume: 3 |Issue: 1 |Pages: 12
ISSN: 1947-3192|EISSN: 1947-3206|EISBN13: 9781466610651|DOI: 10.4018/jaeis.2012010102
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MLA

Pascale, Stefania, et al. "Use of Remote Sensing Data for Landslide Change Detection: Montescaglioso Large Landslide (Basilicata, Southern Italy)." IJAEIS vol.3, no.1 2012: pp.14-25. http://doi.org/10.4018/jaeis.2012010102

APA

Pascale, S., Pastore, V., Sdao, F., Sole, A., Roubis, D., & Lorenzo, P. (2012). Use of Remote Sensing Data for Landslide Change Detection: Montescaglioso Large Landslide (Basilicata, Southern Italy). International Journal of Agricultural and Environmental Information Systems (IJAEIS), 3(1), 14-25. http://doi.org/10.4018/jaeis.2012010102

Chicago

Pascale, Stefania, et al. "Use of Remote Sensing Data for Landslide Change Detection: Montescaglioso Large Landslide (Basilicata, Southern Italy)," International Journal of Agricultural and Environmental Information Systems (IJAEIS) 3, no.1: 14-25. http://doi.org/10.4018/jaeis.2012010102

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Abstract

Remote sensing techniques have been widely used since the 1990s in landslide research, deploying for this purpose different spatial and spectral resolution imagery. This research includes photo-interpretation and inventory of large landslides, determinant factors analysis, stereo-plotting of movements, and automatic detection by textural analysis. The potential or intrinsic factors of landslides include geological and morphological factors, while the external or triggering factors include earthquakes, climate, and hydrological and human activities (deforestation, the expansion of urban areas, and the increase of agricultural activity). In this paper, the variations of land use are analyzed using a historical series of aerial-photographic and satellite data (1988 – 2006). Land use affects the stability of landslides. In this paper the proposed model has been applied in the Montescagliso municipality (Basilicata, Southern Italy).

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