Soil moisture extraction using Microwave Imagery (Case Study: Behshahr, Mazandaran)
Subject Areas : Journal of Radar and Optical Remote Sensing and GIS
1 - Department of GIS & RS, Yazd Branch, Islamic Azad University, Yazd, Iran
Keywords: Backscatter Coefficient, Soil Moisture, SAR, Sentinel-1,
Abstract :
Objective: Estimate the large part of the soil surface to calculate its moisture is very important for agriculture since it would improve food security. In current study, four radar images of Sentinel-1 are employed to observe soil moisture in Miyankale Peninsula where is located in Behshahr, Mazandaran province.
Methods: These data are collected since 1394 until 1395 in both VV and VH polarization while imagery mode is Global mode. Soil texture, vegetation disturbs microwaves responses therefore the images are processed to eradicate vegetation effect, then backscatter coefficient calculated.
Results: These backscatters connect to statistical information gathered by field sampling (hygrometer device) to determine volumetric soil moisture in Miyankale Peninsula. The results show 0.79 for R2 (coefficient of determination) between volumetric moisture and backscatter; 0.62 for R2, between vegetation and backscatter, which confirm the vegetation effect on detecting moisture of soil.
Conclusion: This effect is removed from backscatter. In this study, Global mode in SAR data is appropriate for spares vegetation areas.
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