PREDICTION OF LAND USE AND LAND COVER CHANGES BY USING MULTI-TEMPORAL SATELLITE IMAGERY AND MARKOV CHAIN MODEL

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ALIMOHAMMADI A.; MOUSIVAND A.J.; SHAYAN S.

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

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Journal: Journal of Spatial Planning Year:2010 | Volume:14 | Issue:3 (67) Page(s): 117-130

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Title

PREDICTION OF LAND USE AND LAND COVER CHANGES BY USING MULTI-TEMPORAL SATELLITE IMAGERY AND MARKOV CHAIN MODEL

Author(s)

ALIMOHAMMADI A. | MOUSIVAND A.J. | SHAYAN S. | Issue Writer Certificate

Keywords

MARKOV CHAIN MODELQ2

LAND USE CHANGEQ2

TEHRANQ2

CHANGE DETECTIONQ1

LANDSAT IMAGERYQ2

Abstract

Extensive land use and land cover changes in many urban areas of Iran, particularly TEHRAN as the capital, have resulted in many problems such as destruction of natural resources, environmental pollution, and uncontrolled urban growth over the past three decades. Rapid population growth and high migration rates to TEHRAN can be regarded as the main driving forces for suburb development and very fast land use/cover changes in this city. Mapping and analyzing the land use/cover changes are the first and important steps for management of LAND USE CHANGEs. Possibilities of land use/cover change prediction, provided by the Markov chain, is a useful tool for effective control of LAND USE CHANGEs. Because of these capabilities, this paper tries to evaluate usefulness of Markov chain and multi-temporal satellite data for land use /cover change mapping.Multi-temporal data included Landsat-MSS, Landsat-TM and Landsat- ETM, Which were acquired in 1976, 1988 and 2000, respectively. These data were rectified and co-registered to a 1/50000 topographic map of the area. The existing land use maps and aerial photos were used for selection of training samples. Maximum likelihood classification algorithm was then used for data classification. The Information classes included constructed areas, agriculture and orchards, parks and forests, bare lands and water bodies. Post-classification comparison was used for CHANGE DETECTION and also LAND USE CHANGE matrix production. The LAND USE CHANGE matrix was used for LAND USE CHANGE prediction by the MARKOV CHAIN MODEL.The results showed that the constructed areas have experienced a continuous growth during the periods of 1976-1988 and 1988-2000.Whereas, because of conversion in to constructed lands, agricultural lands and bare lands have been considerably decreased. The first order Markov chain was used as a predictor model for estimating the future changes. The observed LAND USE CHANGE trend is in contrast with those of sustainability objectives, and requires a careful plan and action.

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APA: Copy

ALIMOHAMMADI, A., MOUSIVAND, A.J., & SHAYAN, S.. (2010). PREDICTION OF LAND USE AND LAND COVER CHANGES BY USING MULTI-TEMPORAL SATELLITE IMAGERY AND MARKOV CHAIN MODEL. SPATIAL PLANNING (MODARES HUMAN SCIENCES), 14(3 (67)), 117-130. SID. https://sid.ir/paper/171975/en

Vancouver: Copy

ALIMOHAMMADI A., MOUSIVAND A.J., SHAYAN S.. PREDICTION OF LAND USE AND LAND COVER CHANGES BY USING MULTI-TEMPORAL SATELLITE IMAGERY AND MARKOV CHAIN MODEL. SPATIAL PLANNING (MODARES HUMAN SCIENCES)[Internet]. 2010;14(3 (67)):117-130. Available from: https://sid.ir/paper/171975/en

IEEE: Copy

A. ALIMOHAMMADI, A.J. MOUSIVAND, and S. SHAYAN, “PREDICTION OF LAND USE AND LAND COVER CHANGES BY USING MULTI-TEMPORAL SATELLITE IMAGERY AND MARKOV CHAIN MODEL,” SPATIAL PLANNING (MODARES HUMAN SCIENCES), vol. 14, no. 3 (67), pp. 117–130, 2010, [Online]. Available: https://sid.ir/paper/171975/en

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