MONITORING THE VEGETATION COVER CHANGES BY USING REMOTE SENSING TECHNIQUES IN ILAM DAM BASIN

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AREKHI S.; NIAZY Y.; ADIBNEJAD M.

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Journal: Geography and Development Year:2011 | Volume:9 | Issue:24 Page(s): 121-136

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Information Journal Paper

Title

MONITORING THE VEGETATION COVER CHANGES BY USING REMOTE SENSING TECHNIQUES IN ILAM DAM BASIN

Author(s)

AREKHI S. | NIAZY Y. | ADIBNEJAD M. | Issue Writer Certificate

Keywords

CHANGE MONITORINGQ2

REMOTE SENSINGQ2

IMAGE DIFFERENCEQ2

IMAGE RATINGQ2

ANALYSIS OF MAIN COMPONENTQ2

CHANGE THRESHOLDQ3

Abstract

Monitor of change is generally performed for evaluating natural processes including long term effects of climate change which is caused by astronomic reasons and also short term processes which includes the succession of vegetation cover and geomorphologic processes. Also CHANGE MONITORING is used for evaluating the effects resulting from human activities including deforestation, agriculture and urbanization. As the environment changes reflect the situation of lands management, monitoring methods can help to evaluate these operations. In this study, measuring images (MSS) of year 1976 and land sat (ETM+) year 2002 have been analyzed by four techniques of CHANGE MONITORING in Ilam dam basin with an area of 476.751 km2. Techniques for monitoring changes used in this study include the IMAGE DIFFERENCE, IMAGE RATING, analysis difference of the main component and analysis difference of standardized main component. Since the CHANGE MONITORING techniques used in this study require the threshold, and on this basis it is determined that the CHANGE THRESHOLD on the under study area has been placed with+deviation from mean, After specifying the CHANGE THRESHOLD, the areas with decreasing, increasing and without changes have been determined. For evaluating the accuracy of CHANGE MONITORING techniques, after surveying the ground realities, which obtained though field visits and Google Earth Satellite images, the total accuracy and Kappa coefficient were used.Based on the obtained results, it was determined that the difference method of red band with total accuracy of 89 and Kappa coefficient of 0.82 has the greatest accuracy among the used CHANGE MONITORING techniques in his study and rating method of the near infra red band with total accuracy of 64.5 and kappa coefficient of 0.34 has had the least accuracy in monitoring changes of vegetation cover in the area under study.

Cites

COMPARING MAXIMUM LIKELIHOOD AND FUZZY APPROACH TO LAND USE/COVER MAPPING IN A SOUTHERN KHUZESTAN USING LANDSAT IMAGES

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APA: Copy

AREKHI, S., NIAZY, Y., & ADIBNEJAD, M.. (2011). MONITORING THE VEGETATION COVER CHANGES BY USING REMOTE SENSING TECHNIQUES IN ILAM DAM BASIN. GEOGRAPHY AND DEVELOPMENT, 9(24), 121-136. SID. https://sid.ir/paper/77444/en

Vancouver: Copy

AREKHI S., NIAZY Y., ADIBNEJAD M.. MONITORING THE VEGETATION COVER CHANGES BY USING REMOTE SENSING TECHNIQUES IN ILAM DAM BASIN. GEOGRAPHY AND DEVELOPMENT[Internet]. 2011;9(24):121-136. Available from: https://sid.ir/paper/77444/en

IEEE: Copy

S. AREKHI, Y. NIAZY, and M. ADIBNEJAD, “MONITORING THE VEGETATION COVER CHANGES BY USING REMOTE SENSING TECHNIQUES IN ILAM DAM BASIN,” GEOGRAPHY AND DEVELOPMENT, vol. 9, no. 24, pp. 121–136, 2011, [Online]. Available: https://sid.ir/paper/77444/en

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