DETERMINATION OF OPTIMUM VEGETATION INDICES FOR VEGETATION COVER PERCENTAGE MODELLING, USING SATELLITE SPECTRAL REFLECTANCE

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NAGHIBI S.J.; HABIBIAN S.H.; HABIBIAN S.M.R.

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Journal: PLANT ECOPHYSIOLOGY (ARSANJAN BRANCH) Year:2010 | Volume:1 | Issue:3 Page(s): 63-73

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Information Journal Paper

Title

DETERMINATION OF OPTIMUM VEGETATION INDICES FOR VEGETATION COVER PERCENTAGE MODELLING, USING SATELLITE SPECTRAL REFLECTANCE

Author(s)

NAGHIBI S.J. | HABIBIAN S.H. | HABIBIAN S.M.R. | Issue Writer Certificate

Keywords

REMOTE SENSINGQ2

VEGETATION INDICESQ3

ETM++Q3

AB MAHI WATERSHED BASINQ3

Abstract

In this research, to evaluate vegetation cover percentage an to determine optimum vegetation indexes for multivariate regression modeling in the Ab-Mahi subbasin of Doorodzan dam watershed basin with the area of 15, 800 ha, usimg spectral reflection detected by ETM++ sensor of landsat satellite in the year 2002. In the first step, after primitive image processing, including radiometric and geometric correction using optimum index factor (OIF), false color composite map with band combination: RGB=741 were prepared for field studies. Then, by doing field studies, considering false color composite map 63 plots (1m *1 m) were randomly selected at the region area. The percentage of canopy cover were estimated in the field studies. In this regard the coordinates of each point was determined using GPS. These information were used in order to construct the vegetation cover incorporated with ETM++ imagery data. To obtain a reliable vegetation map six main bands of ETM++ and 26 artificial imagery were applied to training data set in ILWIS software. Finally the overall accuracy of prediction was calculated by coefficient of determination (r2) and root means of square error (RMSE). The constructed vegetation canopy map was used in land qualitative evaluation of rangeland for the study area. At last, It was shown that it is possible to model and determine the vegetative land cover percentage with an acceptable accuracy using satellite images (ETM+) and implementing appropriate digital analysis.

Cites

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

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APA: Copy

NAGHIBI, S.J., HABIBIAN, S.H., & HABIBIAN, S.M.R.. (2010). DETERMINATION OF OPTIMUM VEGETATION INDICES FOR VEGETATION COVER PERCENTAGE MODELLING, USING SATELLITE SPECTRAL REFLECTANCE. PLANT ECOPHYSIOLOGY (ARSANJAN BRANCH), 1(3), 63-73. SID. https://sid.ir/paper/188535/en

Vancouver: Copy

NAGHIBI S.J., HABIBIAN S.H., HABIBIAN S.M.R.. DETERMINATION OF OPTIMUM VEGETATION INDICES FOR VEGETATION COVER PERCENTAGE MODELLING, USING SATELLITE SPECTRAL REFLECTANCE. PLANT ECOPHYSIOLOGY (ARSANJAN BRANCH)[Internet]. 2010;1(3):63-73. Available from: https://sid.ir/paper/188535/en

IEEE: Copy

S.J. NAGHIBI, S.H. HABIBIAN, and S.M.R. HABIBIAN, “DETERMINATION OF OPTIMUM VEGETATION INDICES FOR VEGETATION COVER PERCENTAGE MODELLING, USING SATELLITE SPECTRAL REFLECTANCE,” PLANT ECOPHYSIOLOGY (ARSANJAN BRANCH), vol. 1, no. 3, pp. 63–73, 2010, [Online]. Available: https://sid.ir/paper/188535/en

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