Volume 12, Issue 24 (9-2021)                   J Watershed Manage Res 2021, 12(24): 65-76 | Back to browse issues page


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Asadi Oskouei E, Jamei M. (2021). Production of Soil Moisture Maps in Iran from BEC Global Level 3 Products of SMOS Satellite. J Watershed Manage Res. 12(24), 65-76. doi:10.52547/jwmr.12.24.65
URL: http://jwmr.sanru.ac.ir/article-1-1112-en.html
Khuzestan Water and Power Authority(KWPA)
Abstract:   (2407 Views)
Extended Abstract
Introduction and Objective: Surface soil moisture is an essential variable in the Earth's climate system and hydrological cycle that plays a crucial role in scientific and practical applications such as numerical weather forecasting, extreme event monitoring, hydrological modeling, climate models study, and water resources management. Microwave remote sensing has a unique capability to retrieve global soil moisture over a wide range; in this context, The European Space Agency's (ESA) Soil Moisture and Ocean Salinity (SMOS) satellite is the first specific mission to monitor global soil moisture, which has been operating since 2009. This study aimed to extract soil moisture data from SMOS satellite products (BEC­_L3_SM_SMOS), generate soil moisture maps at different time scales for Iran, and evaluate the spatial and temporal variations of soil moisture data (from 2010 to 2019).
Material and Methods: In line with the research objectives, we developed a model by Model Builder in ArcGIS that read and derived soil moisture values from the BEC­_L3_SM_SMOS products and produced average soil moisture maps over Iran. This study evaluated the sources of Radio Frequency Interference (RFI) in the SMOS products by evaluating RFI probability maps. The results found that the SMOS ascending orbit products have the lowest RFI in Iran. This study evaluated the sources of Radio Frequency Interference (RFI) in the SMOS products by evaluating RFI probability maps. The results found that the SMOS ascending orbit products have the lowest RFI percentage in Iran. Therefore, we used the BEC­_L3_SM_SMOS (ASC) products to generate the soil moisture maps in Iran.
Results: In this study, the outcomes of the developed model are the preparation of monthly, seasonal, and annual maps of the average soil moisture for Iran. Evaluation of temporal variations of the soil moisture monthly average maps shows that the highest maximum monthly value (0.854 m3m-3) occurred in May. The highest monthly average of soil moisture values was related to February (0.087 m3m-3), March (0.086 m3m-3), and April (0.086 m3m-3), and the lowest monthly average of soil moisture values were occurred in August (0.034 m3m-3) and September (0.037 m3m-3). Evaluation of the annual average map (10 years) obtained from SMOS data shows that soil moisture varies between the lowest value of 0.002 and the highest value of 0.78 m3m-3 in Iran. The annual average value of soil moisture is 0.063 m3m-3 based on SMOS data over Iran
Conclusion: Due to the scarce soil moisture data over Iran and the ability of SMOS to produce soil moisture data with desirable quality, SMOS products can be used for various applications. The monthly, seasonal, and annual maps of the average soil moisture obtained in this study can be used in regional studies of hydrological models, improving weather forecasting models, water resources management, climate change studies, irrigation schedule, and smart irrigation.
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Type of Study: Research | Subject: سنجش از دور و سامانه های اطلاعات جغرافيايی
Received: 2020/09/30 | Revised: 2022/02/22 | Accepted: 2021/06/19 | Published: 2021/09/1

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