CAPABILITY OF IRS SATELLITE ON VEGETATION COVER ESTIMATION (CASE STUDY: CHAHARMAH-VA-BAKHTIARI)

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MOHAMMADI MARYAM; EBRAHIMI ATAOLAH; HAQHZADE AKBAR

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Journal Paper

Paper Information

Journal: Journal of Renewable Natural Resources Research Year:2012 | Volume:3 | Issue:1 (SERIAL NUMBER 7) Page(s): 41-53

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Title

CAPABILITY OF IRS SATELLITE ON VEGETATION COVER ESTIMATION (CASE STUDY: CHAHARMAH-VA-BAKHTIARI)

Author(s)

MOHAMMADI MARYAM | EBRAHIMI ATAOLAH | HAQHZADE AKBAR | Issue Writer Certificate

Keywords

VEGETATION COVERQ2

VEGETATION INDEXQ2

IRS SATELLITE IMAGEQ2

KERSENK AREAQ2

Abstract

Over the last two decades, many researchers had investigated the efficiency of VEGETATION INDEXes which obtained from satellite in evaluation of naturals resources, and reported appropriate correlation between VEGETATION INDEXes and VEGETATION COVER parameters. So this study was conducted to evaluate efficiency of spectral indexes of IRS satellite in order to estimate the VEGETATION COVER of Karsank rangelands. Scientists evaluated the role of plant indexes which obtained from satellite date, on natural resources, during the last decades. They achieved to a good correction between plant indexes with plant parameters. The purpose of this study was to evaluate the capability spectral index of IRS for estimating canopy in KARSANAK rangelands. Variety of pre-processing, including geometric correction and atmospheric correction, were performed by topographic maps (1:25000) and dark object subtraction. Data of experimental field were collected from an area about 576 ha in May 2010. The vegetation unit types were determined and sampling was performed by random-systematic method. Canopy cover was measured by determination of the area that was cover by each species and each of the vegetative forms and the position of the plots were recorded by GPS. The images which were taken in May 2010 were applied in this study. VEGETATION INDEXes were applied on satellite images then related information of canopy cover at each plot imported into the SPSS software, then canopy cover were taken as dependent variable and VEGETATION INDEXes as independent variable to define the correlation between them, so the VEGETATION INDEXes which had higher correlation with canopy cover were selected to do modeling. The results showed that the indexes of GNDVI and DVI had the most correlation with total canopy cover and the index of PD321 showed highest correlation with canopy cover of forbs, also canopy cover of grass had highest correlation with the indexes of GNDVI, GI and MIRV2.

Cites

THE PREPARATION OF UPDATED VEGETATION MAPS BY PROCESSING SATELLITE IMAGES: A WAY IN SUSTAINABLE MANAGEMENT OF AGRICULTURE

References

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APA: Copy

MOHAMMADI, MARYAM, EBRAHIMI, ATAOLAH, & HAQHZADE, AKBAR. (2012). CAPABILITY OF IRS SATELLITE ON VEGETATION COVER ESTIMATION (CASE STUDY: CHAHARMAH-VA-BAKHTIARI). RENEWABLE NATURAL RESOURCES RESEARCH, 3(1 (SERIAL NUMBER 7)), 41-53. SID. https://sid.ir/paper/212303/en

Vancouver: Copy

MOHAMMADI MARYAM, EBRAHIMI ATAOLAH, HAQHZADE AKBAR. CAPABILITY OF IRS SATELLITE ON VEGETATION COVER ESTIMATION (CASE STUDY: CHAHARMAH-VA-BAKHTIARI). RENEWABLE NATURAL RESOURCES RESEARCH[Internet]. 2012;3(1 (SERIAL NUMBER 7)):41-53. Available from: https://sid.ir/paper/212303/en

IEEE: Copy

MARYAM MOHAMMADI, ATAOLAH EBRAHIMI, and AKBAR HAQHZADE, “CAPABILITY OF IRS SATELLITE ON VEGETATION COVER ESTIMATION (CASE STUDY: CHAHARMAH-VA-BAKHTIARI),” RENEWABLE NATURAL RESOURCES RESEARCH, vol. 3, no. 1 (SERIAL NUMBER 7), pp. 41–53, 2012, [Online]. Available: https://sid.ir/paper/212303/en

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