EXAMINATION OF THE RELATION BETWEEN COVER MANAGEMENT FACTOR WITH VEGETATION INDICES IN THE LOESS SLOPE LANDS (CASE STUDY: WHEAT FARM IN TOSHAN CATCHMENT) (SHORT TECHNICAL REPORT)

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JENNAT ALIPOUR M.; KIANI F.; ALIPOUR K.

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Journal: Journal of Water and Soil Conservation Year:2016 | Volume:23 | Issue:1 Page(s): 307-311

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Title

EXAMINATION OF THE RELATION BETWEEN COVER MANAGEMENT FACTOR WITH VEGETATION INDICES IN THE LOESS SLOPE LANDS (CASE STUDY: WHEAT FARM IN TOSHAN CATCHMENT) (SHORT TECHNICAL REPORT)

Author(s)

JENNAT ALIPOUR M. | KIANI F. | ALIPOUR K. | Issue Writer Certificate

Keywords

VEGETATION COVER MANAGEMENT FACTORQ1

SEDIMENTQ2

REMOTE SENSINGQ2

NDVIQ1

SAVIQ1

Abstract

Background and Objectives: Erosion rate in Golestan province has a high rate due to geographical location, climatic and resource degradation. Determining a suitable method for measuring soil erodibility is one of the priorities in the prevention of destructive erosion. Wishmeyer and Smith equation (1978) is one of the important methods for calculating soil erosion, that is known as the Universal Soil Loss Equation. In this equation, cover management (C) is one of the six factors affecting soil water-erosion that its measuring is not simply possible. One of the widely used methods for estimating this factor is using satellite imagery. So, in this research, relevant indicators derived from satellite images of different agronomic main crop growth in Golestan province and their relation with real erosion in the farm was obtained.Materials and Methods: C factor was measured by using simulated rainfall with 2 intensity of 32 and 105 mm/h in duration of 20 minute in 6 consecutive times. Cover management factor also was measured using CERL method, and vegetation indices (SAVI & NDVI) were computed from of Landsat 8 images in 6 consecutive times using ERDAS IMAGIN 2011. Then, the relation between CSERL factor and vegetation indices (SAVI & NDVI) were obtained using Excel software and adjusted coefficient of determination, regression coefficient and correlation were used as evaluation indices.Results: According to the results, NDVI index (R2=0.76) in order to predict CSERL factor using satellite images is more suitable comparing SAVI index (R2=0.54). The vegetation indices derived from satellite images have higher relationship with C factor derived from higher rain intensity.Conclusion: According to the results, NDVI index had a best estimation with CSERL in higher intensity (R2=0.76) and so this index is offered as a method with proper accuracy.

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APA: Copy

JENNAT ALIPOUR, M., KIANI, F., & ALIPOUR, K.. (2016). EXAMINATION OF THE RELATION BETWEEN COVER MANAGEMENT FACTOR WITH VEGETATION INDICES IN THE LOESS SLOPE LANDS (CASE STUDY: WHEAT FARM IN TOSHAN CATCHMENT) (SHORT TECHNICAL REPORT). JOURNAL OF WATER AND SOIL CONSERVATION (JOURNAL OF AGRICULTURAL SCIENCES AND NATURAL RESOURCES), 23(1), 307-311. SID. https://sid.ir/paper/156586/en

Vancouver: Copy

JENNAT ALIPOUR M., KIANI F., ALIPOUR K.. EXAMINATION OF THE RELATION BETWEEN COVER MANAGEMENT FACTOR WITH VEGETATION INDICES IN THE LOESS SLOPE LANDS (CASE STUDY: WHEAT FARM IN TOSHAN CATCHMENT) (SHORT TECHNICAL REPORT). JOURNAL OF WATER AND SOIL CONSERVATION (JOURNAL OF AGRICULTURAL SCIENCES AND NATURAL RESOURCES)[Internet]. 2016;23(1):307-311. Available from: https://sid.ir/paper/156586/en

IEEE: Copy

M. JENNAT ALIPOUR, F. KIANI, and K. ALIPOUR, “EXAMINATION OF THE RELATION BETWEEN COVER MANAGEMENT FACTOR WITH VEGETATION INDICES IN THE LOESS SLOPE LANDS (CASE STUDY: WHEAT FARM IN TOSHAN CATCHMENT) (SHORT TECHNICAL REPORT),” JOURNAL OF WATER AND SOIL CONSERVATION (JOURNAL OF AGRICULTURAL SCIENCES AND NATURAL RESOURCES), vol. 23, no. 1, pp. 307–311, 2016, [Online]. Available: https://sid.ir/paper/156586/en

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