Detecting and Calculating the Soil Moisture Using Microwave Imagery(Case Study: Miyankale, Mazandaran)

Journal of Radar and Optical Remote Sensing and GIS

مقاله 5، دوره 2، شماره 1.2، شهریور 2019، صفحه 46-57   

نویسندگان

Abolfazl Rahimabadi^{* 1}؛ Ali Akbar Jamali²

¹Department of GIS & RS, Yazd Branch, Islamic Azad University, Yazd, Iran

²Associate Professor, Department of GIS-RS and Natural Engineering, Maybod Branch, Islamic Azad University, Yazd, Iran

چکیده

Almost one third of the earth is covered by soil, which has several essential parameters. The soil moisture
content is one of the essential parameters. The current research calculates the soil moisture content. There
are known methods to calculate soil moisture; however, a new method has been chosen for this research.
Microwave imagery is a novel appropriate way to detect and calculate the amount of moisture in soil. The
SENTINEL-1 with SAR sensor has been a good satellite for research purpose. The microwaves sent by
the satellite to the earth receives the backscatters which has been directly related to the amount of
moisture. Thus four images were obtained at different time intervals of the year; 21st November 2015, 1st
May 2016, 5th June 2016 and 29th September 2016. The study area of Miyankale is covered by four
images. Furthermore, to calculate the moisture in Miyankale which was done by another method the
results were finally compared with the percentage measured by satellite imagery. The accuracy of satellite
data is confirmed by measuring the soil moisture by two different methods. The coefficient of
determination R2 has been chosen to compare the data and check the microwave imagery. The
R2coefficient is able to compare two independent data. The R2 coefficient is 0.82, 0.82, 0.78 and 0.81 for
different time periods. The R2 ranges from 0 to 1, as the R2 values are closer to 1 the moisture obtained
from SAR images is confirmed

کلیدواژه‌ها

Backscatter Coefficient؛ Soil Moisture؛ SAR؛ Sentinel-1