Modeling mean weight-diameter of soil aggregates based on vegetation indices in rangeland and forest land uses

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KHANIFAR J.; KHADEMALRASOUL A.; AMERIKHAH H.

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Journal: Journal of Water and Soil Conservation Year:2021 | Volume:27 | Issue:6 Page(s): 201-214

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Title

Modeling mean weight-diameter of soil aggregates based on vegetation indices in rangeland and forest land uses

Author(s)

KHANIFAR J. | KHADEMALRASOUL A. | AMERIKHAH H. | Issue Writer Certificate

Keywords

Land use

Mean weight diameter (MWD)

Remote sensing (RS)

Vegetation indices (VIs)

Abstract

Background and Objectives: One of the most important soil physical properties is the aggregate stability, because it is considered as an indicator of soil erodibility. Aggregate stability index can be utilized as a useful tool to manage and control the soil against destructive factors. Therefore, modeling aggregate stability using easily accessible parameters like vegetation indices is valuable in soil management. The aim of this study was to investigate the relationship between vegetation indices and mean weight diameter (MWD) as an index of soil aggregate stability in forest and rangeland Land uses. Materials and Methods: This research was conducted in Dehdez watershed located in the southeast of Khuzestan province. To extract vegetation indices, Landsat 8 images were first provided and then radiometric corrections were applied to the images using the ENVI 5. 1 software. The evaluated vegetation indices, including, RVI, VIN, TVI, YVI, SBL, DVI, NDGI, RI, NDI, NDVI, PVI, SAVI, TSAVI, ARVI, and MSAVI. The properties of 50 soil samples collected from two Land uses, including percentage of organic carbon, percentage of sand, silt, and clay and mean weight-diameter of aggregates (MWD) were determined according to standard laboratory methods. Pearson´ s correlation analysis and multivariate adaptive regression spline (MARS) applied to investigate the relation between vegetation indices and MWD. Results: The results illustrated that in the rangeland, MWD had a significant correlation with VIN, TVI, MSAVI, RVI, SAVI, TSAVI, NDVI, and PVI indices at the level of 0. 01. However, in the forest, there was no significant relation between the studied indices. Also, MARS modeling showed that the fitted model based on vegetation indices in rangeland (Adjusted R-Sq. = 0. 55, RMSE = 0. 16) has much higher predictive power and accuracy than the fitted model for forest (Adjusted R-Sq. = 0. 35, RMSE= 0. 36). Conclusion: In general, the results of this study revealed that the controlling factors of soil aggregate stability are different for rangeland and forest Land uses. This has led to differences in correlation coefficient between vegetation indices and MWD, and consequently modeling results. Also, remote sensing can provide convenient technology for providing the sustainable management purposes of soil and water resources. Thus, the use of new technologies can pave the way for the implementation of sustainable management scenarios, which pre se results in the protection of natural resources.

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APA: Copy

KHANIFAR, J., KHADEMALRASOUL, A., & AMERIKHAH, H.. (2021). Modeling mean weight-diameter of soil aggregates based on vegetation indices in rangeland and forest land uses. JOURNAL OF WATER AND SOIL CONSERVATION (JOURNAL OF AGRICULTURAL SCIENCES AND NATURAL RESOURCES), 27(6 ), 201-214. SID. https://sid.ir/paper/959421/en

Vancouver: Copy

KHANIFAR J., KHADEMALRASOUL A., AMERIKHAH H.. Modeling mean weight-diameter of soil aggregates based on vegetation indices in rangeland and forest land uses. JOURNAL OF WATER AND SOIL CONSERVATION (JOURNAL OF AGRICULTURAL SCIENCES AND NATURAL RESOURCES)[Internet]. 2021;27(6 ):201-214. Available from: https://sid.ir/paper/959421/en

IEEE: Copy

J. KHANIFAR, A. KHADEMALRASOUL, and H. AMERIKHAH, “Modeling mean weight-diameter of soil aggregates based on vegetation indices in rangeland and forest land uses,” JOURNAL OF WATER AND SOIL CONSERVATION (JOURNAL OF AGRICULTURAL SCIENCES AND NATURAL RESOURCES), vol. 27, no. 6 , pp. 201–214, 2021, [Online]. Available: https://sid.ir/paper/959421/en

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