ANALYSIS OF AL KUBUB DUNES AREA AND WEST BURA YDAH CITY LAND COVER ALONG WADI AR RUMAH IN ALQASSIM, SAUDI ARABIA USING LANDSATITM
Alsultan, S., MatJafri, M., Abdullah, K., Lim, H. (2004). ANALYSIS OF AL KUBUB DUNES AREA AND WEST BURA YDAH CITY LAND COVER ALONG WADI AR RUMAH IN ALQASSIM, SAUDI ARABIA USING LANDSATITM. EKB Journal Management System, 29(8), 4769-4779. doi: 10.21608/jssae.2004.242531
sultan Alsultan; M. Z. MatJafri; K. Abdullah; H. S. Lim. "ANALYSIS OF AL KUBUB DUNES AREA AND WEST BURA YDAH CITY LAND COVER ALONG WADI AR RUMAH IN ALQASSIM, SAUDI ARABIA USING LANDSATITM". EKB Journal Management System, 29, 8, 2004, 4769-4779. doi: 10.21608/jssae.2004.242531
Alsultan, S., MatJafri, M., Abdullah, K., Lim, H. (2004). 'ANALYSIS OF AL KUBUB DUNES AREA AND WEST BURA YDAH CITY LAND COVER ALONG WADI AR RUMAH IN ALQASSIM, SAUDI ARABIA USING LANDSATITM', EKB Journal Management System, 29(8), pp. 4769-4779. doi: 10.21608/jssae.2004.242531
Alsultan, S., MatJafri, M., Abdullah, K., Lim, H. ANALYSIS OF AL KUBUB DUNES AREA AND WEST BURA YDAH CITY LAND COVER ALONG WADI AR RUMAH IN ALQASSIM, SAUDI ARABIA USING LANDSATITM. EKB Journal Management System, 2004; 29(8): 4769-4779. doi: 10.21608/jssae.2004.242531

ANALYSIS OF AL KUBUB DUNES AREA AND WEST BURA YDAH CITY LAND COVER ALONG WADI AR RUMAH IN ALQASSIM, SAUDI ARABIA USING LANDSATITM

Journal of Soil Sciences and Agricultural Engineering
Article 4, Volume 29, Issue 8, August 2004, Page 4769-4779  XML PDF (2.96 MB)
Document Type: Original Article
DOI: 10.21608/jssae.2004.242531
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Authors
sultan Alsultan1; M. Z. MatJafri2; K. Abdullah2; H. S. Lim2
1Al Sultan Environmental Research Center. AI Madina Rd., P.O.Box. 242 Riaydh AI Khabra, AI Qassim, Saudi Arabia.
2School of Physics, Universiti Sains Malaysia, Minden 11800 Penang, Malaysia.
Abstract
Mapping of Alkubub dunes land Cover within an Urban-desert environment
using LANDSAT Thematic Mapper (TM) imagery is the main objective of this study.
Regional and urban planning analysis studies for Land Cover mapping has proved to
be an effective tool to monitor natural and human-induced environmental changes. In
this study supervised classification using maximum likelihood classifier has been used
to identify surrounding dunes terrain. It has been proved that the proposed scheme is
capable to delineate different features including vegetation, roads, Moderate Arable
Land (MAL), Good Arable Land (GAL), Non-agricultural land (NAL), and urban with
high classification accuracy.
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