COMPRESSION OF VEGETATION INDICES FOR VEGETATION COVER MAPPING IN ARID AND SEMI-ARID ENVIRONMENT USING SATELLITE DATA (CASE STUDY: MOUTEHWILD LIFE SANCTUARY)

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RAHDARI V.; MALEKI NAJAF ABADI S.

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Journal: Journal of RS and GIS for Natural Resources Year:2011 | Volume:1 | Issue:1 Page(s): 79-87

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Title

COMPRESSION OF VEGETATION INDICES FOR VEGETATION COVER MAPPING IN ARID AND SEMI-ARID ENVIRONMENT USING SATELLITE DATA (CASE STUDY: MOUTEHWILD LIFE SANCTUARY)

Author(s)

RAHDARI V. | MALEKI NAJAF ABADI S. | Issue Writer Certificate

Keywords

SATELLITE DATAQ3

MOUTEH WILD LIFE SANCTUARYQ1

VEGETATION INDEXQ2

SOIL COEFFICIENTQ3

VEGETATION COVER PERCENTAGEQ2

Abstract

Remote sensing provides useful tools for rangeland and vegetation cover studies. Vegetation crown covermapping is one of satellite information applications in rangeland studies. In this study, IRS-P6, LISS III datawas used to prduce vegetation crown cover map in MOUTEH WILD LIFE SANCTUARY during June 2008. To achieve thisgoal, vegetation indices provided by digital data layer by LISS3 were used. To study the correlation betweenvegetation indices by satelite data layer and vegetation crown cover on the ground, vegetation cover data in thefield was collected from 290 plots evenly distributed over the entire study area. The vegetation cover wasestimated by simple linear regression between field sampling and vegetation indices by satelite data layer.Vegetation cover crown models were produced for different indices and vegetation maps were produced usingeach index model. Results showed that SAVI index had the highest correlation (0.78) with field sampling and itwas suggested for VEGETATION COVER PERCENTAGE mapping. Using SAVI model, vegetation cover was classified infour classes:<10%, 10-20%, 20-40% and>40%. The Results showed that areas with<10% and 10-20% crowncover were dominant in the region. In this study NDVI, TSAVI1 and RVI vegetation indices also performed highcorrelations (0.77, 0.78 and 0.76).

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APA: Copy

RAHDARI, V., & MALEKI NAJAF ABADI, S.. (2011). COMPRESSION OF VEGETATION INDICES FOR VEGETATION COVER MAPPING IN ARID AND SEMI-ARID ENVIRONMENT USING SATELLITE DATA (CASE STUDY: MOUTEHWILD LIFE SANCTUARY). JOURNAL OF RS AND GIS FOR NATURAL RESOURCES (JOURNAL OF APPLIED RS AND GIS TECHNIQUES IN NATURAL RESOURCE SCIENCE), 1(1), 79-87. SID. https://sid.ir/paper/189539/en

Vancouver: Copy

RAHDARI V., MALEKI NAJAF ABADI S.. COMPRESSION OF VEGETATION INDICES FOR VEGETATION COVER MAPPING IN ARID AND SEMI-ARID ENVIRONMENT USING SATELLITE DATA (CASE STUDY: MOUTEHWILD LIFE SANCTUARY). JOURNAL OF RS AND GIS FOR NATURAL RESOURCES (JOURNAL OF APPLIED RS AND GIS TECHNIQUES IN NATURAL RESOURCE SCIENCE)[Internet]. 2011;1(1):79-87. Available from: https://sid.ir/paper/189539/en

IEEE: Copy

V. RAHDARI, and S. MALEKI NAJAF ABADI, “COMPRESSION OF VEGETATION INDICES FOR VEGETATION COVER MAPPING IN ARID AND SEMI-ARID ENVIRONMENT USING SATELLITE DATA (CASE STUDY: MOUTEHWILD LIFE SANCTUARY),” JOURNAL OF RS AND GIS FOR NATURAL RESOURCES (JOURNAL OF APPLIED RS AND GIS TECHNIQUES IN NATURAL RESOURCE SCIENCE), vol. 1, no. 1, pp. 79–87, 2011, [Online]. Available: https://sid.ir/paper/189539/en

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