Sand dune risk assessment in Sabha region, Libya using Landsat 8, MODIS, and Google Earth Engine images

Globally, sand dunes are a major environmental problem that causes damage to urban areas, transportation, and population. The current study proposes a comprehensive investigation on sand dune risk modeling in Sabha located in the southwestern part of Libya. Data from various sources were collected a...

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Main Authors: Biswajeet Pradhan, Ahmed Ali Alazhari Moneir, Ratiranjan Jena
Format: Article
Language:English
Published: Taylor & Francis Group 2018-01-01
Series:Geomatics, Natural Hazards & Risk
Subjects:
GIS
Online Access:http://dx.doi.org/10.1080/19475705.2018.1518880
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spelling doaj-c00aa66ee83f4c79b053c0ad20504bef2020-11-25T02:39:36ZengTaylor & Francis GroupGeomatics, Natural Hazards & Risk1947-57051947-57132018-01-01911280130510.1080/19475705.2018.15188801518880Sand dune risk assessment in Sabha region, Libya using Landsat 8, MODIS, and Google Earth Engine imagesBiswajeet Pradhan0Ahmed Ali Alazhari Moneir1Ratiranjan Jena2University of Technology SydneyUniversity of Technology SydneyUniversity of Technology SydneyGlobally, sand dunes are a major environmental problem that causes damage to urban areas, transportation, and population. The current study proposes a comprehensive investigation on sand dune risk modeling in Sabha located in the southwestern part of Libya. Data from various sources were collected and prepared in a GIS database. Data from 2016 were used to derive several controlling factors, such as altitude, rainfall, soil texture, wind direction and speed, land cover, and population density. Next, sand dune susceptibility, hazard and vulnerability assessments were performed. Finally, a risk map was produced. Results indicate that land use and soil are the most influential factors affecting the sand dunes in the study area, whereas rainfall is the least significant factor. Results indicate that, southern part has a higher chance of sand dune occurrence than the northern part, whereas the highest risk zone is located in the middle part, where the urban and agricultural lands are present. More than 200 km2 of the study area are under high and very high risk zones. Overall, this study provides an effective tool for assessing sand dune risk in Sabha, which can be useful for land management.http://dx.doi.org/10.1080/19475705.2018.1518880Sand dune riskLandsat imageremote sensingGISLibya
collection DOAJ
language English
format Article
sources DOAJ
author Biswajeet Pradhan
Ahmed Ali Alazhari Moneir
Ratiranjan Jena
spellingShingle Biswajeet Pradhan
Ahmed Ali Alazhari Moneir
Ratiranjan Jena
Sand dune risk assessment in Sabha region, Libya using Landsat 8, MODIS, and Google Earth Engine images
Geomatics, Natural Hazards & Risk
Sand dune risk
Landsat image
remote sensing
GIS
Libya
author_facet Biswajeet Pradhan
Ahmed Ali Alazhari Moneir
Ratiranjan Jena
author_sort Biswajeet Pradhan
title Sand dune risk assessment in Sabha region, Libya using Landsat 8, MODIS, and Google Earth Engine images
title_short Sand dune risk assessment in Sabha region, Libya using Landsat 8, MODIS, and Google Earth Engine images
title_full Sand dune risk assessment in Sabha region, Libya using Landsat 8, MODIS, and Google Earth Engine images
title_fullStr Sand dune risk assessment in Sabha region, Libya using Landsat 8, MODIS, and Google Earth Engine images
title_full_unstemmed Sand dune risk assessment in Sabha region, Libya using Landsat 8, MODIS, and Google Earth Engine images
title_sort sand dune risk assessment in sabha region, libya using landsat 8, modis, and google earth engine images
publisher Taylor & Francis Group
series Geomatics, Natural Hazards & Risk
issn 1947-5705
1947-5713
publishDate 2018-01-01
description Globally, sand dunes are a major environmental problem that causes damage to urban areas, transportation, and population. The current study proposes a comprehensive investigation on sand dune risk modeling in Sabha located in the southwestern part of Libya. Data from various sources were collected and prepared in a GIS database. Data from 2016 were used to derive several controlling factors, such as altitude, rainfall, soil texture, wind direction and speed, land cover, and population density. Next, sand dune susceptibility, hazard and vulnerability assessments were performed. Finally, a risk map was produced. Results indicate that land use and soil are the most influential factors affecting the sand dunes in the study area, whereas rainfall is the least significant factor. Results indicate that, southern part has a higher chance of sand dune occurrence than the northern part, whereas the highest risk zone is located in the middle part, where the urban and agricultural lands are present. More than 200 km2 of the study area are under high and very high risk zones. Overall, this study provides an effective tool for assessing sand dune risk in Sabha, which can be useful for land management.
topic Sand dune risk
Landsat image
remote sensing
GIS
Libya
url http://dx.doi.org/10.1080/19475705.2018.1518880
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