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Greeley, R., Blumberg, D.G., Dobrovolskis, A.R., Gaddis, L.R., Iversen, J.D., Lancaster, N., et al. (1995) Potential Transport of Windblown Sand: Influence of Surface Roughness and Assessment with Radar Data. In: Desert Aeolian Processes, Springer, Dordrecht, 75-99.
https://doi.org/10.1007/978-94-009-0067-7_4

has been cited by the following article:

• TITLE: Modeling and Mapping Sand Encroachment Risk as an Aid for Urban Planning in the United Arab Emirates (UAE)

  AUTHORS: Naeema Alhosani

  KEYWORDS: Aeolian Sand, Lands at 8 OLI, Sand Encroachment, Transportation, Vegetation, Temperature

  JOURNAL NAME: Journal of Geographic Information System, Vol.10 No.6, December 14, 2018

  ABSTRACT: Sand encroachment into urban areas represents a high risk factor for transportation infrastructural and urban development in the United Arab Emirates. The UAE is located in one of the world’s largest arid regions with a strong prevalence of sand movement and encroachment into urban areas, particularly in the last few years. The objective of this research is to develop a land surface process platform that models sand movements and further generates an encroachment risk index map of potential encroachment risk areas season-wise in the UAE. To achieve this objective, this research used elevation and land cover maps generated from Lands at 8 Operational Land Imager (OLI) data which represent the topography of the study area coupled with meteorological information on wind speed, temperature and precipitation. Furthermore, the study considered the vegetation cover as a major contribution factor to reduce sand encroachment. Using developed sand movement model for this research, sand encroachment risk maps were generated to help urban planners in cities making informed decisions of future urban protection structures and transportation networks that mitigate the effects of sand dunes encroachments in the UAE. A major finding of this research results conclude that during the summer season encroachment risk reaches 30% higher compared to the winter season due to the extremely high temperature which leads to reduced vegetation in the country. Urban planning decision maker may consider the finding of this research for future infrastructural adjustments.