DocumentCode
2188375
Title
Identifying suitable areas for agricultural expansion in the Western Desert of Egypt by multisensor data fusion
Author
Koch, Martin ; Burkholder, B. ; Gaber, Abdo
Author_Institution
Center for Remote Sensing, Boston Univ., Boston, MA, USA
fYear
2012
fDate
22-27 July 2012
Firstpage
2683
Lastpage
2686
Abstract
A pilot study in a desert plain area near Aswan, Egypt, is currently being conducted to develop new techniques for multisensor data and information integration for land use planning. Such planning efforts are aimed to help alleviate Egypt´s growing overpopulation along the Nile River by gradually extending development activities (e.g. agriculture) from the western side of the Nile Valley further toward the west. A multisensor approach is being utilized for water resources exploration, surface sediment characterization and terrain information extraction and integration from a variety of satellite and ground based platforms in order to produce priority maps for land use development activities in El-Gallaba Plain, west of Aswan. A Landsat time series classification shows that past and current agricultural development occurs predominantly along the eastern side of the Nile Valley. However, satellite and ground based radar data indicate that the desert plain area west of the Nile has a great potential for groundwater abstraction that would make this area suitable for agricultural development.
Keywords
agriculture; geophysical image processing; land use planning; sensor fusion; time series; water resources; Aswan; Egypt Western Desert; El-Gallaba Plain; Landsat time series classification; Nile River; Nile Valley; agricultural expansion identification; land use planning; multisensor data fusion; surface sediment characterization; terrain information extraction; water resources exploration; Agriculture; Earth; Ground penetrating radar; Remote sensing; Satellites; Sediments; Soil; Landsat; agriculture; arid lands; radar;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location
Munich
ISSN
2153-6996
Print_ISBN
978-1-4673-1160-1
Electronic_ISBN
2153-6996
Type
conf
DOI
10.1109/IGARSS.2012.6350376
Filename
6350376
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