Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1016/j.ejrs.2012.04.001 |
A new GIS-based model for automated extraction of Sand Dune encroachment case study: Dakhla Oases, western desert of Egypt | |
Ghadiry, M.; Shalaby, A.; Koch, B. | |
通讯作者 | Shalaby, A |
来源期刊 | EGYPTIAN JOURNAL OF REMOTE SENSING AND SPACE SCIENCES
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ISSN | 1110-9823 |
EISSN | 2090-2476 |
出版年 | 2012 |
卷号 | 15期号:1页码:53-65 |
英文摘要 | The movements of the sand dunes are considered as a threat for roads, irrigation networks, water resources, urban areas, agriculture and infrastructures. The main objectives of this study are to develop a new GIS-based model for automated extraction of sand dune encroachment using remote sensing data and to assess the rate of sand dune movement. To monitor and assess the movements of sand dunes in Dakhla oases area, multi-temporal satellite images and a GIS-developed model, using Python script in Arc GIS, were used. The satellite images (SPOT images, 1995 and 2007) were geo-rectified using Erdas Imagine. Image subtraction was performed using spatial analyst in Arc GIS, the result of image subtraction obtains the sand dune movement between the two dates. The raster and vector shape of sand dune migration was automatically extracted using spatial analyst tools. The frontiers of individual dunes were measured at different dates and movement rates were analyzed in GIS. The ModelBuilder in Arc GIS was used in order to create a user friendly tool. The custom built model window is easy to handle by any user who wishes to adapt the model in his work. It was found that the rate of sand dune movement ranged between 3 and 9 m per year. The majority of sand dunes have a rate movement between 0 and 6 m and very few dunes had a movement rate between 6 and 9 m. Integrating remote sensing and GIS provided the necessary information for determining the minimum, maximum, mean, rate and area of sand dune migration. (C) 2012 National Authority for Remote Sensing and Space Sciences. Production and hosting by Elsevier B.V. All rights reserved. |
英文关键词 | Sand Dunes Dakhla oases SPOT images GIS Python programming |
类型 | Article |
语种 | 英语 |
开放获取类型 | DOAJ Gold |
收录类别 | ESCI |
WOS记录号 | WOS:000216581500006 |
WOS类目 | Environmental Sciences ; Remote Sensing |
WOS研究方向 | Environmental Sciences & Ecology ; Remote Sensing |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/330018 |
作者单位 | [Ghadiry, M.] Freiburg Univ, Fac Forest & Environm Sci, Dept Remote Sensing & Landscape Informat Syst FeL, D-79106 Freiburg, Germany; [Shalaby, A.] Natl Author Remote Sensing & Space Sci NARSS, Land Use Dept, 23 Joseph Tito St,POB 1564, Cairo, Egypt; [Koch, B.] Freiburg Univ, Fac Forest & Environm Sci, Remote Sensing & Landscape Informat Syst Dept FeL, D-79106 Freiburg, Germany |
推荐引用方式 GB/T 7714 | Ghadiry, M.,Shalaby, A.,Koch, B.. A new GIS-based model for automated extraction of Sand Dune encroachment case study: Dakhla Oases, western desert of Egypt[J],2012,15(1):53-65. |
APA | Ghadiry, M.,Shalaby, A.,&Koch, B..(2012).A new GIS-based model for automated extraction of Sand Dune encroachment case study: Dakhla Oases, western desert of Egypt.EGYPTIAN JOURNAL OF REMOTE SENSING AND SPACE SCIENCES,15(1),53-65. |
MLA | Ghadiry, M.,et al."A new GIS-based model for automated extraction of Sand Dune encroachment case study: Dakhla Oases, western desert of Egypt".EGYPTIAN JOURNAL OF REMOTE SENSING AND SPACE SCIENCES 15.1(2012):53-65. |
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