PREDICTION OF VEGETATION CHANGES USING A MARKOV MODEL (CASE STUDY: DISTRICT 4 OF TEHRAN MUNICIPALITY)

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SOROUDI M.; JOZI S.A.

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Journal: Journal of RS and GIS for Natural Resources Year:2011 | Volume:2 | Issue:2 Page(s): 83-94

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Title

PREDICTION OF VEGETATION CHANGES USING A MARKOV MODEL (CASE STUDY: DISTRICT 4 OF TEHRAN MUNICIPALITY)

Author(s)

SOROUDI M. | JOZI S.A. | Issue Writer Certificate

Keywords

VEGETATION COVERQ2

REMOTE SENSINGQ2

MARKOV MODELQ1

NDVI INDEXQ1

DISTRICT 4 OF TEHRAN MUNICIPALITYQ2

Abstract

Regarding the role of VEGETATION COVER the analysis of the spatial extent and temporal changes of land cover is a fundamental component in urban and sub-urban environment studies. In this study, to estimate the changes of VEGETATION COVER, the NDVI INDEX was applied on TM and IRS images of 1990 and 2006 and VEGETATION COVER maps of DISTRICT 4 OF TEHRAN MUNICIPALITY by underlining the different greenness levels were generated. The comparison between the areas of greenness classes of VEGETATION COVER maps revealed that non-vegetated and moderate greenness level vegetated area increased by 1779.917 and 272.7938 ha respectively, decreased poor greenness level vegetated area by 2052.7108 ha was noticed. Further more, Post-classification change detection technique was conducted to investigate the procedure of changes of the study area's VEGETATION COVER based on the conversion of classes. It showed that although the vegetated area has been increased by 108.4416 ha due to the conversion of non-vegetated to the vegetated area, according to the conversion of the vegetated area to non-vegetated one by 1888.3586 ha, it has been decreased by 1779.917, finally. The vegetation changes were also projected for the next nineteen years when IRAN envisages achieving Vision 1404 using Markov chain analysis. A statistic Results shows that maximum probability of vegetation destruction belongs to poor greenness level vegetated area by 0.0167.

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APA: Copy

SOROUDI, M., & JOZI, S.A.. (2011). PREDICTION OF VEGETATION CHANGES USING A MARKOV MODEL (CASE STUDY: DISTRICT 4 OF TEHRAN MUNICIPALITY). JOURNAL OF RS AND GIS FOR NATURAL RESOURCES (JOURNAL OF APPLIED RS AND GIS TECHNIQUES IN NATURAL RESOURCE SCIENCE), 2(2), 83-94. SID. https://sid.ir/paper/189623/en

Vancouver: Copy

SOROUDI M., JOZI S.A.. PREDICTION OF VEGETATION CHANGES USING A MARKOV MODEL (CASE STUDY: DISTRICT 4 OF TEHRAN MUNICIPALITY). JOURNAL OF RS AND GIS FOR NATURAL RESOURCES (JOURNAL OF APPLIED RS AND GIS TECHNIQUES IN NATURAL RESOURCE SCIENCE)[Internet]. 2011;2(2):83-94. Available from: https://sid.ir/paper/189623/en

IEEE: Copy

M. SOROUDI, and S.A. JOZI, “PREDICTION OF VEGETATION CHANGES USING A MARKOV MODEL (CASE STUDY: DISTRICT 4 OF TEHRAN MUNICIPALITY),” JOURNAL OF RS AND GIS FOR NATURAL RESOURCES (JOURNAL OF APPLIED RS AND GIS TECHNIQUES IN NATURAL RESOURCE SCIENCE), vol. 2, no. 2, pp. 83–94, 2011, [Online]. Available: https://sid.ir/paper/189623/en

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