Estimation of surface soil moisture using sar images sentinel 1 satellite with ten cm resolution
Subject Areas : Journal of Radar and Optical Remote Sensing and GIS
مهران علیزاده پیربستی
1
,
Seyyed Ali Almodaresi
2
1 - موسسه حکمت قم
2 - Associate professor, GIS and RS Department, Yazd Branch, Islamic Azad University, Yazd, Iran
Keywords: remote sensing, radar images of the SAR, Sentinel 1 , soil moisture,
Abstract :
In this research, soil moisture determination has been calculated using radar data . In fact, calculate the soil moisture with Sentinel- 1 is done . Soil moisture is very important in the water cycle . Also, in matters related to agriculture Can be an indicator for drought . As a result, decision-making organizations , agricultural institutions and farmers Can use the processed information. One of the applications of soil moisture determination is to identify anomalies and natural disasters such as drought, floods and landslides . To do this, time series images must be analyzed to design a highly reliable method.The main reason given Radar detectors are not dependent on weather conditions and shooting time, they have high performance in different areas. Data Sentinel 1 with a resolution of 10 meters as data The main ones were used . There is currently no satellite other than Sentinel 1 that provides data with this accuracy for free. Also preprocessed data landcover classification As a feature Inputs to the classification algorithm were used . From the data FLDAS We used it as a classification target . Data The use of water-depth of 0 to 10 cm, which operates the Sentinel 1 is close( wavelength of 5 cm ) .For implementation of cloud computing environment GEE ( Google Earth Engine )We benefited . In this category handle Different data sets are available, it has high processing power and its coding space is not complicated.
