Difference Vegetation Index (NDVI), land surface temperature (LST) and normalized moisture (NDMI) indices

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Hosseini Chamani F.; FARROKHIAN FIROUZI A.; AMERIKHAH H.

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Journal: Journal of Water and Soil Conservation Year:2019 | Volume:26 | Issue:4 Page(s): 239-254

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Title

Difference Vegetation Index (NDVI), land surface temperature (LST) and normalized moisture (NDMI) indices

Author(s)

Hosseini Chamani F. | FARROKHIAN FIROUZI A. | AMERIKHAH H. | Issue Writer Certificate

Keywords

Land Surface Temperature (LST)Q2

Normalized Difference Moisture Index (NDMI)Q1

Normalized Difference Vegetation Index (NDVI)Q1

Pedotransfer Functions (PTFs)Q1

Soil moistureQ1

Abstract

Background and Objectives: Soil moisture is one of the key variables which by controlling evapotranspiration processes influences the water cycle and heat exchange between the earth and the atmosphere. The amount of Soil moisture is also important for hydrological, biological and biochemical cycles. With the help of Soil moisture information in regular intervals, the degree of drought development can be determined in regions with dry climates. Furthermore, continuous monitoring of Soil moisture in agricultural areas can help to plan irrigation of crops effectively. Soil moisture is also used to identify areas susceptible to fire in forest areas. Therefore, monitoring of Soil moisture is important in any regions and different time periods. Due to factors such as lack of uniformity in physical properties of soil, topography, land cover, evapotranspiration and rainfall, Soil moisture is known as a variable factor in spatial and temporal intervals. Therefore, the use of conventional and traditional methods for Soil moisture determination (such as gravimetric and neutron probe) is not appropriate to understand the spatial and temporal variation of this parameter in large scales. To resolve this problem in past two decades, remote sensing technology (especially in visible/infrared spectrum) widely used to estimate of Soil moisture indirectly. The objective of this study was to estimate surface Soil moisture using Normalized Difference Moisture Index (NDMI), Normalized Difference Vegetation Index (NDVI) and Land Surface Temperature (LST). Materials and Methods: For this purpose, Landsat 8 satellite imagery was downloaded at the same time as ground sampling. The samples were transferred to the laboratory and Soil moisture was measured by weighted method. Then, using the expert software such as ArcGIS, the indices were estimated and the values of these indicators were transferred to SPSS software for statistical regression. In this study, a PTF were obtained to predict Soil moisture condition using LST and NDVI and NDMI derived from Landsat 8 data. Multiple linear regression method was used to derive the PTF. After derivation of the pedotransfer function, the accuracy of the derived PTF was evaluated. This research was carried out in the Dehzad area of Izeh city of Khuzestan province. Results: Comparison between measured and predicted Soil moisture values indicated that the PTF had good prediction (R2=0. 78), Coefficient of Residual Mass (CRM), Mean Absolute Error (MAE), Modified Coefficient Efficiency (E), Modified Index of agreement (d) also showed that the model had good performance (CRM=0. 001, MAE=0. 0013, E=0. 9998 and d=0. 9999). Furthermore, a Soil moisture map was obtained for the study area. The result indicated that Normalized Difference Moisture Index (NDMI), Normalized Difference Vegetation Index (NDVI) and Land Surface Temperature (LST) can be used to predict soil surface moisture content successfully. Conclusion: The result of this research has been presented by a PTF and in the form of Soil moisture map. The Soil moisture map simulated by this model can predict 78% of Soil moisture variation in the region.

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APA: Copy

Hosseini Chamani, F., FARROKHIAN FIROUZI, A., & AMERIKHAH, H.. (2019). Difference Vegetation Index (NDVI), land surface temperature (LST) and normalized moisture (NDMI) indices. JOURNAL OF WATER AND SOIL CONSERVATION (JOURNAL OF AGRICULTURAL SCIENCES AND NATURAL RESOURCES), 26(4 ), 239-254. SID. https://sid.ir/paper/156101/en

Vancouver: Copy

Hosseini Chamani F., FARROKHIAN FIROUZI A., AMERIKHAH H.. Difference Vegetation Index (NDVI), land surface temperature (LST) and normalized moisture (NDMI) indices. JOURNAL OF WATER AND SOIL CONSERVATION (JOURNAL OF AGRICULTURAL SCIENCES AND NATURAL RESOURCES)[Internet]. 2019;26(4 ):239-254. Available from: https://sid.ir/paper/156101/en

IEEE: Copy

F. Hosseini Chamani, A. FARROKHIAN FIROUZI, and H. AMERIKHAH, “Difference Vegetation Index (NDVI), land surface temperature (LST) and normalized moisture (NDMI) indices,” JOURNAL OF WATER AND SOIL CONSERVATION (JOURNAL OF AGRICULTURAL SCIENCES AND NATURAL RESOURCES), vol. 26, no. 4 , pp. 239–254, 2019, [Online]. Available: https://sid.ir/paper/156101/en

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