ESTIMATION OF SOIL MOISTURE USING SENTINEL-1 AND SENTINEL-2 IMAGES

Abstract. Soil moisture is a vital parameter for environmental research such as agriculture, hydrology, natural resources, hazards, etc. It essential to have timely soil maps prepared with high accuracy, speed, and low cost. Therefore, in this study, an attempt was made evaluate the efficiency of Sentinel 1 2 sensor images some cases prepare map. For sampled at 24 points common area two south Malard city, Tehran province (Iran) obtained by survey. After pre-processing images, values bands 7, 11, 12 Sentinel-2 applying filters (Gaussian, Laplacian, Majority, Morphology, rank) Sentinel-1 were calculated. Moreover, R, R2, RMSE calculated using from sample points. Furthermore, Maps data used sentinel-1 sentinel-2 obtained. Using shows potential applied estimation moisture. According results, highest coefficient determination (R2) related band 6 84%. The result demonstrated that Rank filter (54%). correlation 74% 46%, respectively. lowest three (1.64 %) rank (1.03 %), better performance among methods used. However, it emphasized more samples can be tested improving results.