ESTIMATING THE MEASURE OF THE SOIL’S LIME IN DUST’S CENTERS BY USING OF VINR SPECTROSCOPY AND SATELLITE IMAGES OF OLI

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GHAZI M.; BAHRAMI H.A.; DARVISHI BOLOORANI A.; MIRZAEI S.

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Journal: Journal of RS and GIS for Natural Resources Year:2018 | Volume:8 | Issue:4 (29) Page(s): 1-16

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Title

ESTIMATING THE MEASURE OF THE SOIL’S LIME IN DUST’S CENTERS BY USING OF VINR SPECTROSCOPY AND SATELLITE IMAGES OF OLI

Author(s)

GHAZI M. | BAHRAMI H.A. | DARVISHI BOLOORANI A. | MIRZAEI S. | Issue Writer Certificate

Keywords

SOIL’S LIMEQ1

INDICATORQ2

VNIR SPECTROSCOPYQ1

LANDSATQ1

PLSR (PARTIAL LEAST SQUARE REGRESSION)Q1

Abstract

In the present age, one of the most important challenges is soil erosion and consequently land degradation. One of the reasons of soil erosion in the source areas of dust is the low quality of nourishing the soil at the base of growth and development of vegetation. Lime is one of the main factors of decreasing the quality of nourishing the soil. SOIL’S LIME measuring by laboratory method is time consuming and expensive, thus developing the non-destructive and fast methods like the satellite and VNIR spectrometry data is necessary. In this study 29 intact soil samples have been collected on the same day of LANDSAT 8 satellite’s overpass from two sources. The spectroscopy has been done on these samples in three modes: IMS, IDS, and SMD. The surface and mixed samples lime have been measured in the laboratory. The soil index and PLSR methods have been used for processing data. The results obtained from PLSR method for SMD mode were R2=0.30 and RMSe=1.84 and for IDS and IMS modes were R2=0.13, 0.08 and RMSe=0.85, 0.87 respectively. The results of the RI index for SMD, IDS, and IMS were R2=0.56, 0.29, 0.19 and RMSe=1.41, 0.75, 0.80 respectively, that the results for SMD mode were acceptable. The results of image in PLSR method were R2=0.84 and RMSe=0.34. But the results related to using RI, DI, and NDI indices (R2=0.28, 0.08, 0.31 and RMSe=0.75, 0.86, 0.74, respectively), were unacceptable and weaker than PLSR method. Based on these results the lime map has been produced by using PLSR method.

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APA: Copy

GHAZI, M., BAHRAMI, H.A., DARVISHI BOLOORANI, A., & MIRZAEI, S.. (2018). ESTIMATING THE MEASURE OF THE SOIL’S LIME IN DUST’S CENTERS BY USING OF VINR SPECTROSCOPY AND SATELLITE IMAGES OF OLI. JOURNAL OF RS AND GIS FOR NATURAL RESOURCES (JOURNAL OF APPLIED RS AND GIS TECHNIQUES IN NATURAL RESOURCE SCIENCE), 8(4 (29) ), 1-16. SID. https://sid.ir/paper/189485/en

Vancouver: Copy

GHAZI M., BAHRAMI H.A., DARVISHI BOLOORANI A., MIRZAEI S.. ESTIMATING THE MEASURE OF THE SOIL’S LIME IN DUST’S CENTERS BY USING OF VINR SPECTROSCOPY AND SATELLITE IMAGES OF OLI. JOURNAL OF RS AND GIS FOR NATURAL RESOURCES (JOURNAL OF APPLIED RS AND GIS TECHNIQUES IN NATURAL RESOURCE SCIENCE)[Internet]. 2018;8(4 (29) ):1-16. Available from: https://sid.ir/paper/189485/en

IEEE: Copy

M. GHAZI, H.A. BAHRAMI, A. DARVISHI BOLOORANI, and S. MIRZAEI, “ESTIMATING THE MEASURE OF THE SOIL’S LIME IN DUST’S CENTERS BY USING OF VINR SPECTROSCOPY AND SATELLITE IMAGES OF OLI,” JOURNAL OF RS AND GIS FOR NATURAL RESOURCES (JOURNAL OF APPLIED RS AND GIS TECHNIQUES IN NATURAL RESOURCE SCIENCE), vol. 8, no. 4 (29) , pp. 1–16, 2018, [Online]. Available: https://sid.ir/paper/189485/en

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